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2. Advanced Computational Applications of Geometric Algebra : First International Conference, ICACGA 2022, Denver, CO, USA, October 2-5, 2022, Proceedings
- Author
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David W. Silva, Eckhard Hitzer, Dietmar Hildenbrand, David W. Silva, Eckhard Hitzer, and Dietmar Hildenbrand
- Subjects
- Computer science, Computer science—Mathematics, Machine learning, Mathematical physics
- Abstract
This book constitutes the post-conference proceedings of the First International Conference on Advanced Computational Applications of Geometric Algebra, ICACGA 2022, held in Denver, CO, USA, during October 2-5, 2022. The 18 full papers presented in this book together with 12 abstracts of invited talks were carefully reviewed and selected from 24 submissions. The papers are grouped in the following topical sections: geometric applications; computer science applications; technological applications; and applications to physics and mathematics.
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- 2024
3. Advanced Mathematical Science for Mobility Society
- Author
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Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita, Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, and Hanna Sumita
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- Computer science, Mathematical models, Quantitative research, Transportation engineering, Traffic engineering
- Abstract
This open access book presents the mathematical methods for huge data and network analysis.The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named'Advanced Mathematical Science for Mobility Society'was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.This book contains three main contents.1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility societyThe first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
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- 2024
4. Advances in Computational Intelligence. MICAI 2023 International Workshops : WILE 2023, HIS 2023, and CIAPP 2023, Yucatán, Mexico, November 13–18, 2023, Proceedings
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Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram Ponce, Ramón Zatarain Cabada, Martín Montes Rivera, Efrén Mezura-Montes, Hiram Calvo, Lourdes Martínez-Villaseñor, Hiram Ponce, Ramón Zatarain Cabada, Martín Montes Rivera, and Efrén Mezura-Montes
- Subjects
- Artificial intelligence, Software engineering, Computer vision, Computer science, Data mining, Application software
- Abstract
This conference LNAI 14502 volume constitutes the workshop proceedings of 22nd Mexican International Conference on Artificial Intelligence, held in November 2023 in Mérida, Yucatán, México. The total of 34 papers presented in this volume was carefully reviewed and selected from 54 submissions.The proceedings of MICAI 2023 workshops are structured into three sections: – WILE 2023: 16th Workshop on Intelligent Learning Environments – HIS 2023: 16th Workshop of Hybrid Intelligent Systems – CIAPP 2023: 5th Workshop on New Trends in Computational Intelligence and Applications
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- 2024
5. Advances in Computer Games : 18th International Conference, ACG 2023, Virtual Event, November 28–30, 2023, Revised Selected Papers
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Michael Hartisch, Chu-Hsuan Hsueh, Jonathan Schaeffer, Michael Hartisch, Chu-Hsuan Hsueh, and Jonathan Schaeffer
- Subjects
- Computer science, User interfaces (Computer systems), Human-computer interaction, Artificial intelligence, Computer vision, Computer science—Mathematics
- Abstract
This book constitutes the refereed post proceedings of the 18th International Conference on Advances in Computer Games, ACG 2023, held online, during November 28–30, 2023.The 14 full papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Chess and its Variants, Solving Games, Board Games, Card Games, Player Investigation, Math, Games, and Puzzles.
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- 2024
6. Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part I
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Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, Daniel Thalmann, Bin Sheng, Lei Bi, Jinman Kim, Nadia Magnenat-Thalmann, and Daniel Thalmann
- Subjects
- Application software, Computer systems, Computer networks, Data structures (Computer science), Information theory, Coding theory, Computer science
- Abstract
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 – September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
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- 2024
7. Agents and Artificial Intelligence : 15th International Conference, ICAART 2023, Lisbon, Portugal, February 22–24, 2023, Revised Selected Papers
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Ana Paula Rocha, Luc Steels, Jaap van den Herik, Ana Paula Rocha, Luc Steels, and Jaap van den Herik
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- Artificial intelligence, Computer science, Computers, Computers, Special purpose, Computer networks, Image processing—Digital techniques, Computer vision
- Abstract
This book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows: One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.
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- 2024
8. Editorial.
- Author
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Ware, Andrew
- Subjects
ARTIFICIAL intelligence ,COMPUTER science ,TECHNOLOGICAL innovations ,PROGRAMMING languages ,COMPUTER software development - Published
- 2024
9. Applied Problems Solved by Information Technology and Software
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Azman Ismail, Fatin Nur Zulkipli, Mohd Amran Mohd Daril, Andreas Öchsner, Azman Ismail, Fatin Nur Zulkipli, Mohd Amran Mohd Daril, and Andreas Öchsner
- Subjects
- Internet of things, Information technology, Computer science
- Abstract
This book explores a dynamic landscape where cutting-edge technologies are revolutionizing various domains. This captivating book delves into the advancements in security, communication, and environmental management, highlighting their profound impact on society. The developments bridge the gap between human needs and technological innovation. Readers will uncover the fascinating world of IoT-driven devices that seamlessly integrate into our lives, ensuring enhanced safety and communication efficiency. This book is a must-read for technology enthusiasts, researchers, and anyone curious about the transformative power of technology in shaping our present and future.
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- 2024
10. Artificial Intelligence. ECAI 2023 International Workshops : XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 – October 4, 2023, Proceedings, Part II
- Author
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Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, Mauro Vallati, Paweł Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomáš Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova, Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, Mauro Vallati, Paweł Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomáš Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, and Vania Dimitrova
- Subjects
- Artificial intelligence, Computer engineering, Computer networks, Application software, Software engineering, Computer science
- Abstract
This volume constitutes the refereed proceedings presented at the international workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, which was held in Kraków, Poland, in September-October 2023. The papers in this volume were presented at the following workshops: XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI.
- Published
- 2024
11. Beginning Spring 6 : From Beginner to Pro
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Joseph B. Ottinger, Andrew Lombardi, Joseph B. Ottinger, and Andrew Lombardi
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- Java (Computer program language), Programming languages (Electronic computers), Computer science
- Abstract
This book will teach you how to use the Spring Framework to build Java-based applications, web applications, and microservices. Aimed at beginners, it has been revised and expanded to reflect the latest features and best practices for Spring 6. Authors Joseph Ottinger and Andrew Lombardi will get you started using Spring Framework 6 and its ecosystem, walking you through all the best practices in modern application development. You'll see how Spring has drastically and positively affected the way applications are designed and programmed in Java, and how to build apps with the Spring mindset. Along the way, you will learn many aspects of the Spring ecosystem with easy-to-understand applications designed to teach you not only the technology, but also the practices that benefit the most from Spring. Starting with the basics, you'll learn gradually, including topics such as the configuration and declaration of beans, the application lifecycle, how todeploy a Spring application into a Java EE application, Spring Reactive, Spring Web, Spring Boot, and Spring Cloud. After completing this book, you'll be prepared to develop your own scalable, modular Spring-based applications. What You Will Learn Discover the most common use cases encountered in the real worldLearn the proper way of testing with the Spring frameworkCreate reliable, modular softwareBuild skills that will translate well across all languages and environmentsIntegrate and use data access and persistence frameworks such as Hibernate, JPA, and MongoDBGet started with the most common, most-used Spring features Who This Book Is For Those who are new to Spring or for those who have experience with Spring but want to learn what's new in Spring 6. This book assumes you have some prior coding experience inJava, but many core concepts in Java are discussed as they're encountered.
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- 2024
12. On IIoT and AI-based optimization.
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MIKOŁAJEWSKI, Dariusz, CZERNIAK, Jacek, PIECHOWIAK, Maciej, WĘGRZYN-WOLSKA, Katarzyna, and KACPRZYK, Janusz
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ARTIFICIAL intelligence ,SIMULATED annealing ,INFORMATION technology ,MEDICAL sciences ,COMPUTER science ,SOFTWARE engineering - Abstract
The document is an editorial from the Bulletin of the Polish Academy of Sciences: Technical Sciences. It introduces a special section on IIoT (Industrial Internet of Things) and AI-based optimization. The aim of the section is to present the latest developments and applications in these areas, including methods and systems in IIoT, IoT infrastructure, and applications of AI in IoT. The topics covered align with current research trends in computer science, telecommunications, and mechanical engineering. The document also highlights the importance of integrating intelligent machines and systems in industry and the role of AI in solving complex problems. [Extracted from the article]
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- 2024
- Full Text
- View/download PDF
13. Cellular Automata and Groups
- Author
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Tullio Ceccherini-Silberstein, Michel Coornaert, Tullio Ceccherini-Silberstein, and Michel Coornaert
- Subjects
- Algebra, Dynamical systems, Computer science
- Abstract
This unique book provides a self-contained exposition of the theory of cellular automata on groups and explores its deep connections with recent developments in geometric and combinatorial group theory, amenability, symbolic dynamics, the algebraic theory of group rings, and other branches of mathematics and theoretical computer science. The topics treated include the Garden of Eden theorem for amenable groups, the Gromov–Weiss surjunctivity theorem, and the solution of the Kaplansky conjecture on the stable finiteness of group rings for sofic groups. Entirely self-contained and now in its second edition, the volume includes 10 appendices and more than 600 exercises, the solutions of which are presented in the companion book Exercises in Cellular Automata and Groups (2023) by the same authors. It will appeal to a large audience, including specialists and newcomers to the field.
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- 2024
14. Using Debugging as a Platform for Transdisciplinary Learning.
- Author
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Panorkou, Nicole, York, Toni, and Germia, Erell
- Subjects
- *
DEBUGGING , *MIDDLE school education , *MIDDLE school students , *COMPUTER science - Abstract
In this paper we discuss the types of knowledge used by six middle school students as they engaged with a debugging task designed to integrate ideas from computer science, mathematics and science. Our findings show that the computational thinking practice of debugging is a rich source of opportunities to integrate these different disciplines. The analysis illustrates how the types of knowledge the students did and did not use at each step of the debugging process were related to their ability to succeed at each step. Our work contributes to theory and practice by uncovering implications for studying debugging through two refined frameworks and for designing debugging tasks to support transdisciplinary learning. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
15. Using Debugging as a Platform for Transdisciplinary Learning
- Author
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Nicole Panorkou, Toni York, and Erell Germia
- Abstract
In this paper we discuss the types of knowledge used by six middle school students as they engaged with a debugging task designed to integrate ideas from computer science, mathematics and science. Our findings show that the computational thinking practice of debugging is a rich source of opportunities to integrate these different disciplines. The analysis illustrates how the types of knowledge the students did and did not use at each step of the debugging process were related to their ability to succeed at each step. Our work contributes to theory and practice by uncovering implications for studying debugging through two refined frameworks and for designing debugging tasks to support transdisciplinary learning.
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- 2024
- Full Text
- View/download PDF
16. Features of Creating Artificial Intelligence Using Informatics and Cybernetics
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Boyun, V. P.
- Published
- 2024
- Full Text
- View/download PDF
17. The Science of Implicit Race Bias: Evidence from the Implicit Association Test.
- Author
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Morehouse, Kirsten N. and Banaji, Mahzarin R.
- Subjects
RACISM ,IMPLICIT bias ,RACIAL & ethnic attitudes ,SCIENTISTS' attitudes ,IMPLICIT attitudes ,COMPUTER science ,AFRICAN Americans - Abstract
Beginning in the mid-1980s, scientific psychology underwent a revolution – the implicit revolution – that led to the development of methods to capture implicit bias: attitudes, stereotypes, and identities that operate without full conscious awareness or conscious control. This essay focuses on a single notable thread of discoveries from the Race Attitude Implicit Association Test (RA-IAT) by providing 1) the historical origins of the research, 2) signature and replicated empirical results for construct validation, 3) further validation from research in sociocognitive development, neuroscience, and computer science, 4) new validation from robust association between regional levels of race bias and socially significant outcomes, and 5) evidence for both short- and long-term attitude change. As such, the essay provides the first comprehensive repository of research on implicit race bias using the RA-IAT. Together, the evidence lays bare the hollowness of current-day actions to rectify disadvantage experienced by Black Americans at individual, institutional, and societal levels. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
18. Deep Learning Models : A Practical Approach for Hands-On Professionals
- Author
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Jonah Gamba and Jonah Gamba
- Subjects
- Application software, Computer engineering, Computer networks, Computer vision, Computer science
- Abstract
This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a pressing need for accessible resources that provide comprehensive examples and quick guidance. Unfortunately, many existing books on the market tend to emphasize theoretical aspects, leaving newcomers scrambling for practical guidance. This book takes a different approach by focusing on practicality while keeping theoretical concepts to a necessary minimum. The book begins by laying a foundation of basic information on deep learning, gradually delving into the subject matter to explain and illustrate the limitations of existing algorithms. A dedicated chapter is allocated to evaluating the performance of multiple algorithms on specific datasets, highlighting techniques and strategies that can address real-world challenges when deep learning is employed. By consolidating all necessary information into a single resource, readers can bypass the hassle of scouring scattered online sources, gaining a one-stop solution to dive into deep learning for object detection and classification. To facilitate understanding, the book employs a rich array of illustrations, figures, tables, and code snippets. Comprehensive code examples are provided, empowering readers to grasp concepts quickly and develop practical solutions. The book covers essential methods and tools, ensuring a complete and comprehensive coverage that enables professionals to implement deep learning algorithms swiftly and effectively.This book is designed to equip professionals with the necessary skills to thrive in the active field of deep learning, where it has the potential to revolutionize traditional problem-solving approaches. This book serves as a practical companion, enabling readers to grasp concepts swiftly and embark on building practical solutions.
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- 2024
19. Digital Signal Processing : Illustration Using Python
- Author
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S Esakkirajan, T Veerakumar, Badri N Subudhi, S Esakkirajan, T Veerakumar, and Badri N Subudhi
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- Python (Computer program language), Signal processing, Algorithms, Computer science
- Abstract
Digital signal processing deals with extraction of useful information from signals. Signal processing algorithms help observe, analyse and transform signals. The objective of this book is to develop signal processing algorithms using Python. Python is an interpreted, object-oriented high-level programming language widely used in various software development fields such as data science, machine learning, web development and more. Digital Signal Laboratory is playing an important role in realizing signal processing algorithms, utilizing different software solutions. The intention of this textbook is to implement signal processing algorithms using Python. Since Python is an open-source language, students, researchers, and faculty can install and work with it without spending money, reducing the financial burden on institutions. Each chapter in this book begins with prelab questions, a set of Python examples to illustrate the concepts, exercises to strengthen the understanding of the concepts, and objective questions to help students prepare for competitive examinations. This book serves as an undergraduate textbook, it can be used for individual study, and it can also be used as the textbook for related courses.
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- 2024
20. Almost controllable graphs and beyond.
- Author
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Du, Zenan, You, Lihua, and Liu, Hechao
- Subjects
- *
GRAPH theory , *ORTHOGONAL functions , *COMPUTER science , *EIGENVALUES , *REGULAR graphs - Abstract
An eigenvalue λ of a graph G of order n is a main eigenvalue if its eigenspace is not orthogonal to the all-ones vector j n. In 1978, Cvetković proved that G has exactly one main eigenvalue if and only if G is regular, and posed the following long-standing problem: characterize the graphs with exactly k (2 ≤ k ≤ n) main eigenvalues. Graphs of order n with n , n − 1 main eigenvalues are called controllable, almost controllable, respectively. Cographs, threshold graphs are frequently studied in structural graph theory and computer science. In this paper, all almost controllable cographs, all almost controllable threshold graphs and all almost controllable graphs with second largest eigenvalue less than or equal to 5 − 1 2 are characterized. Furthermore, we give some results about cographs with exactly n − 2 main eigenvalues, and propose some additional problems for further study. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
21. Dynamic General Equilibrium Modeling : Computational Methods and Applications
- Author
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Burkhard Heer, Alfred Maußner, Burkhard Heer, and Alfred Maußner
- Subjects
- Economics—Computer programs, Econometrics, Macroeconomics, Economic development, Computer science
- Abstract
Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models. The textbook by Heer and Maußner acquaints readers with the essential computational techniques required to tackle these models and employ them for quantitative analysis. This third edition maintains the structure of the second, dividing the content into three separate parts dedicated to representative agent models, heterogeneous agent models, and numerical methods. At the same time, every chapter has been revised and two entirely new chapters have been added. The updated content reflects the latest advances in both numerical methods and their applications in macroeconomics, spanning areas like business-cycle analysis, economic growth theory, distributional economics, monetary and fiscal policy. The two new chapters delve into advanced techniques, including higher-order perturbation, weighted residual methods, and solutions to high-dimensional nonlinear problems. In addition, the authors present further insights from macroeconomic theory, complemented by practical applications like the Smolyak algorithm, Gorman aggregation, rare disaster models and dynamic Laffer curves. Lastly, the new edition places special emphasis on practical implementation across various programming languages; accordingly, its accompanying web page offers examples of computer code for languages such as MATLAB®, GAUSS, Fortran, Julia and Python.
- Published
- 2024
22. Dynamic Logic. New Trends and Applications : 5th International Workshop, DaLí 2023, Tbilisi, Georgia, September 15–16, 2023, Revised Selected Papers
- Author
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Nina Gierasimczuk, Fernando R. Velázquez-Quesada, Nina Gierasimczuk, and Fernando R. Velázquez-Quesada
- Subjects
- Computer science, Mathematical logic, Logic programming, Software engineering, Computer networks
- Abstract
This book constitutes the revised selected papers of the 5th International Workshop on Dynamic Logic. New Trends and Applications, DaLí 2023, held in Tbilisi, Georgia, during September 15–16, 2023. The 8 full papers in this book were carefully reviewed and selected from 10 submissions. They deal with new trends and applications in the area of Dynamic Logic.
- Published
- 2024
23. Introduction to informatics in a Peruvian penitentiary using cs unplugged: from university to penitentiary.
- Author
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Díaz-León, Jose Alfredo, Arbelaitz, Olatz, and Arruarte, Ana
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CONCENTRATION camps ,COMPUTER science ,TREATMENT programs ,SOCIAL skills education ,INSTITUTIONALIZED persons - Abstract
Within the field of social reintegration and re-education, this paper presents an educational experience carried out at the Iquitos Penitentiary Center, Lima, Peru, with the aim of providing an introduction to informatics to 25 inmates who volunteered to take part in the project. Twenty students and a teacher from the Scientific University of the South also in Peru, were responsible for initiating the transmission of knowledge from the university to inmates, with the collaboration and participation of the penitentiary coordinator. The main objectives of the case study were to validate both the suitability of the CS unplugged proposal and the adaptability of the L2T2L pedagogic strategy to the transmission of knowledge to adults, specifically penitentiary inmates. This strategy had been originally designed to transmit informatics knowledge from university to primary school. The validity and effectiveness of the experience was assessed using surveys. Results confirm that inmates achieved a good level of understanding when endeavoring to resolve most of the CS unplugged assignments designed for them. It was also seen that L2T2L is adaptable and valid for different scenarios other than those for which it was initially designed. Indeed, it was proven to be valid for transmitting knowledge to the prison population. Finally, it should be pointed out that the experience is easily replicable and that it brings an opportunity to introduce informatics into education programs in prisons, something which can contribute enormously to social reintegration and re-education, facilitating the subsequent reentry of inmates into the community once their period of imprisonment has ended. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
24. From Crisis to Opportunity: Practices and Technologies for a More Effective Post-COVID Classroom
- Author
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Jeremie Regnier, Ethan Shafer, Edward Sobiesk, Nicholas Stave, and Malcolm Haynes
- Abstract
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction. This paper presents post-COVID best practices for employing technology in higher education based on an original survey and follow-up interviews of seventeen computing instructors at our institution. After a literature review, we describe four general categories of practices that enhance the post-COVID classroom: online student activities, digital instructor notes, remote classroom participation and collaboration, and a paperless classroom. For each of these categories, we provide vignettes to illustrate scope and intent. We also offer recommendations for addressing digital dishonesty, required infrastructure, institutional support, and being prepared to seamlessly return to a blended or fully remote environment in the event of another crisis. Finally, we identify additional emerging technological challenges and opportunities that require further effort. Overall, this paper emphasizes the need for a shift towards improved practices in the classroom rather than just a return to pre-pandemic norms. We believe implementing these recommendations will result in a more flexible, accessible, and robust post-COVID educational experience.
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- 2024
- Full Text
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25. Equity, Diversity, and Inclusion Strategies in Engineering and Computer Science.
- Author
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Amer, Adan, Sidhu, Gaganpreet, Alvarez, Maria Isabel Ramirez, Ramos, Juan Antonio Lopez, and Srinivasan, Seshasai
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COMPUTER engineers ,COMPUTER science ,MINORITIES ,ACADEMIA ,SUSTAINABLE development - Abstract
This article delves into the issues of equity, diversity, and inclusiveness (EDI) in the engineering disciplines in Canada and Spain and presents the challenges faced by underrepresented individuals and ways to promote an inclusive and diverse environment. Two strategic lines are identified: (a) facilitating university education access to underrepresented and minority groups and (b) guiding such students during university training to set them up for successful future careers. Accordingly, this article shows how the strategies mentioned above are implemented in some selected Canadian and Spanish universities, clearly distinguishing the approach taken in the two countries. In Canada, there is a more decentralized approach to addressing EDI issues, wherein the universities devise their agendas independently. In Spain, on the other hand, there is a stronger and more direct involvement of the government to ensure a comprehensive, system-wide approach to tackling EDI issues in academia. This article helps education policymakers to devise and implement pragmatic strategies for achieving EDI and the relevant UN-defined sustainable development goals. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
26. Taking Flight for a Greener Planet: How Swarming Could Help Monitor Air Pollution Sources
- Author
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Jan Baumgart, Dariusz Mikołajewski, and Jacek M. Czerniak
- Subjects
computer science ,swarm optimization ,green transformation ,sustainability ,Electronics ,TK7800-8360 - Abstract
As the world grapples with the pressing challenge of environmental sustainability, the need for innovative solutions to combat air pollution has become paramount. Air pollution is a complex issue that necessitates real-time monitoring of pollution sources for effective mitigation. This paper explores the potential of swarm algorithms applied as a novel and efficient approach to address this critical environmental concern. Swarm algorithms offer a promising framework for coordinating fleets of drones to collaboratively monitor and analyze air pollution sources. The unique capabilities of drones, including their agility, accessibility, and versatility, make them ideal candidates for aerial data collection. When harnessed in a swarm, these drones can create a dynamic and adaptable network that provides a more comprehensive and fine-grained understanding of air pollution dynamics. This paper delves into the conceptual foundations of using swarm algorithms in drone-based air pollution monitoring.
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- 2024
- Full Text
- View/download PDF
27. Game-based learning approach in computer science in primary education: A systematic review.
- Author
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Videnovik, Maja, Madevska Bogdanova, Ana, and Trajkovik, Vladimir
- Abstract
• 32 identified articles concerning game-based approach in computer science in primary education. • There is no standardized methodology for designing games. • The focus should be put on designing a game as a pedagogical strategy. • Only few computer science topics are covered through game-based approach. • More data to evaluate the effectiveness of the game-based approach are needed. This paper reviews the current situation concerning the implementation of game-based learning in computer science in primary education, providing insight into current trends, identifying strengths and potential research topics. Articles published in four databases from 2017 to 2021 are included in the analysis and an in-depth analysis of 32 articles is done. Different types of games, implemented in various educational contexts, are presented in these articles. Most of them describe implemented methodology, game-based environment or are evaluating the effectiveness of the created game or the approach. The possibility of implementing a game-based approach while learning other computer science topics or measuring the effectiveness of learning by designing a game as a pedagogical strategy are some areas for future research. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
28. Foundations of Software Science and Computation Structures : 27th International Conference, FoSSaCS 2024, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6–11, 2024, Proceedings, Part II
- Author
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Naoki Kobayashi, James Worrell, Naoki Kobayashi, and James Worrell
- Subjects
- Computer science, Mathematical logic, Data structures (Computer science), Information theory, Computer systems, Computer science—Mathematics
- Abstract
The two open access volumes LNCS 14574 and 14575 constitute the proceedings of the 27th International Conference on Foundations of Software Science and Computation Structures, FOSSACS 2024, which took place in Luxembourg in April 2024.The 24 full papers included in this book were carefully reviewed and selected from 79 submissions. They were organized in topical sections as follows: Part I: Infinite games; categorical semantics; automata and synthesis; Part II: Types and programming languages; logic and proofs; infinite-state systems.
- Published
- 2024
29. FPGA EDA : Design Principles and Implementation
- Author
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Kaihui Tu, Xifan Tang, Cunxi Yu, Lana Josipović, Zhufei Chu, Kaihui Tu, Xifan Tang, Cunxi Yu, Lana Josipović, and Zhufei Chu
- Subjects
- Computer-aided engineering, Compilers (Computer programs), C++ (Computer program language), Open source software, Computer science, Computer hardware description languages
- Abstract
This book focuses on FPGA EDA tools, the very foundation of FPGA technology. Instead of illustrating how to use them, this book dives into the tools themselves, revealing how these tools are being designed and how they may improve. Unlike other semiconductors, FPGA has a distinctive two-stage EDA system: chip design EDA and application design EDA.State-of-the-art algorithms, data models and design methodologies/standards are the main concerns of this book, and these will be very helpful for FPGA EDA engineers and researchers to obtain a bird's eye view of this complicated knowledge system. In the chip design EDA part, full-custom and semicustom methodologies bring up ASIC-like EDA tools, and in the application design EDA side, typical topics including high-level synthesis, logic synthesis, physical implementation, bitstream configuration, etc., are well discussed.
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- 2024
30. Fundamental Approaches to Software Engineering : 27th International Conference, FASE 2024, Held As Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6–11, 2024, Proceedings
- Author
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Dirk Beyer, Ana Cavalcanti, Dirk Beyer, and Ana Cavalcanti
- Subjects
- Software engineering, Operating systems (Computers), Computer science, Microprogramming, Computer systems, Natural language processing (Computer science)
- Abstract
This open access book constitutes the proceedings of the 27th International Conference on Fundamental Approaches to Software Engineering, FASE 2024, held in conjunction with ETAPS 2024 which took place in Luxembourg in April 2024. The 14 full papers included in this book were carefully reviewed and selected from 41 submission. The proceedings also include 5 short papers from the Test-Comp 2024 event that was hosted by FASE. They deal with the broad field of software engineering, focusing on requirements, design, architecture, modeling, applications of AI to software engineering and software engineering for AI-based systems, quality, model-driven engineering, processes, and software evolution.
- Published
- 2024
31. Graph Drawing and Network Visualization : 31st International Symposium, GD 2023, Isola Delle Femmine, Palermo, Italy, September 20–22, 2023, Revised Selected Papers, Part II
- Author
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Michael A. Bekos, Markus Chimani, Michael A. Bekos, and Markus Chimani
- Subjects
- Computer science, Computer science—Mathematics, Discrete mathematics, Image processing—Digital techniques, Computer vision, Data structures (Computer science), Information theory, Application software, Signal processing
- Abstract
This two-volume set LNCS 14465-14466 constitutes the proceedings of the 31st International Symposium on Graph Drawing and Network Visualization, GD 2023, held in Isola delle Femmine, Palermo, Italy, in September 2023. The 31 full papers, 7 short papers, presented together with 2 invited talks, and one contest report, were thoroughly reviewed and selected from the 100 submissions. The abstracts of 11 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: beyond planarity; crossing numbers; linear layouts; geometric aspects; visualization challenges; graph representations; graph decompositions; topological aspects; parameterized complexity for drawings; planar graphs; frameworks; algorithmics.
- Published
- 2024
32. Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology : 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings
- Author
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Seyed-Ahmad Ahmadi, Sérgio Pereira, Seyed-Ahmad Ahmadi, and Sérgio Pereira
- Subjects
- Computer science, Artificial intelligence, Machine learning
- Abstract
This LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT 2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions. The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.
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- 2024
33. Handbook of Software Engineering Methods
- Author
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Letaw, Lara, author
- Subjects
Computer Science ,Textbooks - Abstract
Software engineering can help people create sustainable, extensible programs that solve problems people care about.I won’t tell you how to be a software engineer; you’ll learn that over time by doing it. Instead, this book is about software engineering methods: Ways people achieve specific objectives in software engineering—that can save your project. My hope is that, after reading this book (or parts of it), you’ll feel better equipped for software engineering.
- Published
- 2024
34. Human and Artificial Rationalities : Second International Conference, HAR 2023, Paris, France, September 19–22, 2023, Proceedings
- Author
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Jean Baratgin, Baptiste Jacquet, Hiroshi Yama, Jean Baratgin, Baptiste Jacquet, and Hiroshi Yama
- Subjects
- Artificial intelligence, Computer science, Machine theory, Mathematical logic, Logic programming, Natural language processing (Computer science)
- Abstract
This book constitutes the proceedings of the Second International Conference on Human and Artificial Rationalities, HAR 2023, which took place in Paris, France, in September 2023. The 18 full and 5 short papers included in this book were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: Human and artificial thinking; human thinking and reasoning; neuropsychology and interaction; artificial agents and interaction; and applied reasoning. This volume also contains 2 invited talks in full-paper length.
- Published
- 2024
35. Hypothesis Generation and Interpretation : Design Principles and Patterns for Big Data Applications
- Author
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Hiroshi Ishikawa and Hiroshi Ishikawa
- Subjects
- Computer science, Database management, Data mining, Machine learning, Big data, System theory
- Abstract
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.
- Published
- 2024
36. State-of-the-Art Review on Current Approaches to Female Inclusiveness in Software Engineering and Computer Science in Higher Education
- Author
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Yekaterina Kovaleva, Jussi Kasurinen, Eneli Kindsiko, and Ari Happonen
- Subjects
Computer science ,diversity ,education ,engineering ,gender gap ,literature review ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Software engineering (SE) and computer science (CS) programs in universities worldwide are marked by a gender gap, which subsequently translates into a gender gap at the industry level. However, there are positive activities that can help attract more women to these male-dominant professions. This study maps the literature related to the achievement of gender balance in SE and CS university-level education and identifies future research directions. More specifically, this article reports on a systematic mapping study of female-inclusive SE and CS tertiary education programs. The authors collected 882 publications between 2015 and 2022 from five databases (ACM, IEEE, Scopus, Web of Science, and Science Direct), selecting 143 peer-reviewed papers for further analysis. The results showed that the main academic contributors were researchers from the USA. The majority of the publications contained observations and explanations regarding the gender gap in computing education. However, an important part of the literature considered proposals and practical activities for achieving gender balance in SE and CS programs. Finally, the authors classified the literature related to female-inclusive SE and CS tertiary education programs, identified the main research focuses and regional distribution, and considered ideas for future research.
- Published
- 2024
- Full Text
- View/download PDF
37. Decentralized Threshold Signatures With Dynamically Private Accountability.
- Author
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Li, Meng, Ding, Hanni, Wang, Qing, Zhang, Mingwei, Meng, Weizhi, Zhu, Liehuang, Zhang, Zijian, and Lin, Xiaodong
- Abstract
Threshold signature is a fundamental cryptographic primitive used in many practical applications. As proposed by Boneh and Komlo (CRYPTO’22), TAPS is a threshold signature that is a hybrid of privacy and accountability. It enables a combiner to combine $t$ signature shares while revealing nothing about the threshold $t$ or signing quorum to the public and asks a tracer to track a signature to the quorum that generates it. However, TAPS has three disadvantages: it 1) structures upon a centralized model, 2) assumes that both combiner and tracer are honest, and 3) leaves the tracing unnotarized and static. In this work, we introduce Decentralized, Threshold, dynamically Accountable and Private Signature (DeTAPS) that provides decentralized combining and tracing, enhanced privacy against untrusted combiners (tracers), and notarized and dynamic tracing. Specifically, we adopt Dynamic Threshold Public-Key Encryption (DTPKE) to dynamically notarize the tracing process, design non-interactive zero knowledge proofs to achieve public verifiability of notaries, and utilize the Key-Aggregate Searchable Encryption to bridge TAPS and DTPKE so as to awaken the notaries securely and efficiently. In addition, we formalize the definitions and security requirements for DeTAPS. Then we present a concrete construction and formally prove its security and privacy. To evaluate the performance, we build a prototype based on SGX2 and Ethereum. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
38. Graph-Based Covert Transaction Detection and Protection in Blockchain.
- Author
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Guo, Zhenyu, Li, Xin, Liu, Jiamou, Zhang, Zijian, Li, Meng, Hu, Jingjing, and Zhu, Liehuang
- Abstract
Covert communication is an method that plays an important role in secure data transmission. The technology embeds covert information into data and propagates it through covert channels. The communication quality depends on the choice of channel and data embedding techniques. Recently, blockchain has emerged to become the preferred channel to carry out covert communication for its decentralization and anonymity features. Existing covert transaction methods are constructed transaction-by-transaction, which makes them immune to text analysis-based detection methods. However, it is easy to expose their features on the transaction graph level. Unfortunately, there is yet no method to detect covert transactions by the features of transaction graph. In this paper, we propose a covert transaction detection method based on graph structure. By analyzing the statistical features of graph structure for addresses, we can infer whether they are the participants of covert transactions. Furthermore, we design a protection method of covert transactions based on graph generation networks. By adjusting the structural features between different addresses, our method enhances the security of multiple interrelated covert transactions. Experimental analysis on the Bitcoin Testnet verifies the security and the efficiency of the proposed methods. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
39. Stereo Superpixel Segmentation via Decoupled Dynamic Spatial-Embedding Fusion Network.
- Author
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Li, Hua, Liang, Junyan, Wu, Ruiqi, Cong, Runmin, Wu, Wenhui, and Wu Kwong, Sam Tak
- Published
- 2024
- Full Text
- View/download PDF
40. Discriminative Identity-Feature Exploring and Differential Aware Learning for Unsupervised Person Re-Identification.
- Author
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Liu, Yuxuan, Ge, Hongwei, Wang, Zhen, Hou, Yaqing, and Zhao, Mingde
- Published
- 2024
- Full Text
- View/download PDF
41. Incentive Mechanism for Mobile Crowdsensing : A Game-theoretic Approach
- Author
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Youqi Li, Fan Li, Song Yang, Chuan Zhang, Youqi Li, Fan Li, Song Yang, and Chuan Zhang
- Subjects
- Mobile computing, Cooperating objects (Computer systems), Data mining, Computer science—Mathematics, Mathematical statistics, Algorithms, Computer science
- Abstract
Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people's daily lives. These ubiquitous devices provide an opportunity to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users'participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users'costs such that users are willing to take part in crowdsensing. This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions. This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.
- Published
- 2024
42. Inductive Logic Programming : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings
- Author
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Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, Stephen H. Muggleton, and Alireza Tamaddoni-Nezhad
- Subjects
- Artificial intelligence, Computer engineering, Computer networks, Compilers (Computer programs), Computer science, Machine theory
- Abstract
This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022.The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language.
- Published
- 2024
43. Time Series Forecasting Utilizing Automated Machine Learning (AutoML): A Comparative Analysis Study on Diverse Datasets.
- Author
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Westergaard, George, Erden, Utku, Mateo, Omar Abdallah, Lampo, Sullaiman Musah, Akinci, Tahir Cetin, and Topsakal, Oguzhan
- Subjects
TIME series analysis ,FORECASTING ,TIME complexity ,COMPUTER science ,MACHINE learning ,COMPARATIVE studies ,DEEP learning - Abstract
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models without extensive technical knowledge. This study delves into these tools in the context of time series analysis, which is essential for forecasting future trends from historical data. We evaluate three prominent AutoML tools—AutoGluon, Auto-Sklearn, and PyCaret—across various metrics, employing diverse datasets that include Bitcoin and COVID-19 data. The results reveal that the performance of each tool is highly dependent on the specific dataset and its ability to manage the complexities of time series data. This thorough investigation not only demonstrates the strengths and limitations of each AutoML tool but also highlights the criticality of dataset-specific considerations in time series analysis. Offering valuable insights for both practitioners and researchers, this study emphasizes the ongoing need for research and development in this specialized area. It aims to serve as a reference for organizations dealing with time series datasets and a guiding framework for future academic research in enhancing the application of AutoML tools for time series forecasting and analysis. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
44. Infrared Small Target Detection : Theory, Methods, and Algorithms.
- Author
-
Hu Zhu, Yushan Pan, Lizhen Deng, Guoxia Xu, Hu Zhu, Yushan Pan, Lizhen Deng, and Guoxia Xu
- Subjects
- Image processing—Digital techniques, Computer vision, Artificial intelligence, Computer science—Mathematics, Computer science, Software engineering, Programming languages (Electronic computers)
- Abstract
Uncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field.Readers can particularly be drawn to the book's methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanced algorithms. Experience the key benefits of “Infrared Small Target Detection” as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.
- Published
- 2024
45. Analysing the Evolution of Student Interaction Patterns in a Massive Private Online Course
- Author
-
Di Sun, Gang Cheng, and Heng Luo
- Abstract
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in learning processes, particularly for students with differing achievements. This paper explores the use of sequential pattern mining to address the evolution of student action patterns in Massive Private Online Courses (MPOCs) and compare these patterns between different achievement groups. The study was conducted with first-year undergraduate computer science students enrolled in a computer application course at a traditional open university in one of the Chinese provinces (N = 1375). The results showed the development of various action patterns in each phase of the course and the distinct action patterns for high-achieving and low-achieving students. The findings of study provide a new perspective for instructors and students to understand interaction patterns at the fine-grained level, and can help instructional designers develop learner-cantered courses and platforms to improve online learning.
- Published
- 2024
- Full Text
- View/download PDF
46. Quantum 4x4 Tic-Tac-Toe.
- Author
-
Vinay, Keya
- Subjects
GAME theory ,DECISION making ,TIC-tac-toe (Game) ,SUPERPOSITION principle (Physics) ,SYSTEM analysis - Abstract
Game theory studies interactive decision-making, where the outcome for each participant or player depends on the actions of all. Quantum game theory introduces new strategies and outcomes that are impossible in classical game theory, hence it is generally advantageous over classical game theory. One of the games in which quantum features add advantages to strategies and winning possibilities is the 3x3 tic-tac-toe. Here, we study the quantum 4x4 tic-tac-toe, a new tic-tac-toe model that incorporates quantum strategies into the classical 4x4 tic-tac-toe. This paper reviews some winning strategies and properties of the quantum 4x4 tic-tac-toe. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
47. Internet Corporation for Assigned Names and Numbers im internationalen Rechtssystem : Wie diese die Europäische Datenschutz-Grundverordnung umsetzt und welchen Einfluss die Umsetzung auf das E-Mail-Marketing hat
- Author
-
Tobias Sattler and Tobias Sattler
- Subjects
- Computer science, Electronic commerce
- Abstract
Für den stabilen und sicheren Betrieb des Internets ist die US-amerikanische gemeinnützige Organisation Internet Corporation for Assigned Names and Numbers (ICANN) verantwortlich, wozu die Koordination der Vergabe von Domain-Namen gehört. Die Europäische Datenschutz-Grundverordnung (EU-DSGVO) dient der Vereinheitlichung des Datenschutzrechts und schützt die Verarbeitung von personenbezogenen Daten. Dies hat einen Einfluss auf die öffentlich zugänglichen Informationen von registrierten Domain-Namen, deren Veröffentlichung die ICANN in ihren Richtlinien vorschreibt. Diese Informationen umfassen personenbezogene Daten wie den Namen, die Postanschrift und die E-Mail-Adresse der Domain-innehabenden Person. Die ICANN änderte ihre Richtlinien, jedoch ist weiterhin die Veröffentlichung dieser Angaben möglich. In dem vorliegenden Buch werden die Auswirkungen der EU-DSGVO auf das E-Mail-Marketing und die Verwendung von E-Mail-Adressen für E-Mail-Kampagnen untersucht, insbesondere in Bezug aufunerwünschte E-Mail-Werbung. Dazu wird die folgende Forschungsfrage gestellt: Welchen Effekt hat die Veröffentlichung der E-Mail-Adresse der Domain-innehabenden Person in den WHOIS-Datenbanken auf die Anzahl eingehender unerwünschter Marketing-E-Mails?
- Published
- 2024
48. ARTIFICIAL INTELLIGENCE IN VETERINARY MEDICINE - A REVIEW.
- Author
-
Rakshitha, H. S., Malatesh, D. S., Ravindra, B. G., Ravikumar, P., Umesh, B. U., Arun, S. J., Mukartal, S. Y., and Udupa, K. Ganesh
- Subjects
ARTIFICIAL intelligence ,DEEP learning ,VETERINARY medicine ,COMPUTER science ,ANIMAL handling ,ANIMAL welfare - Abstract
Artificial intelligence (AI) is a branch of computer science in which computer systems are designed to perform tasks that mimic human intelligence. The AI technology is advancing at a rapid pace and is increasingly integrated into many areas of our life and work. It is crucial that we explore its potential impact on veterinary medicine, the veterinary workforce and animal welfare. From veterinary education to diagnostics, treatment, communications and workflows, AI impacts even more in breadth and depth across the veterinary industry. Given the complexity and subjectivity associated with evaluating medical images, as well as the difficulties inherent in handling animals, automating the analysis process using deep learning and artificial intelligence techniques would be highly beneficial. The AI-enabled computer applications will help primary care physicians to better identify patients who require extra attention and to provide personalized protocols for each individual. The AI technology provides accurate, efficient, consistent and rapid diagnosis, reduce workload, reduce human error, has no fatigue and is cost effective. The true power of AI lies in augmenting human understanding and freeing up more of our human resource for those social and relational duties that AI is unlikely to replace. Rather than concerning ourselves with skills loss or being replaced by machines, the profession will have to figure out how to live with AI 'colleagues' and integrate them into working life. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
49. A novel processor for dynamic evolution of constrained SAT problems: The dynamic evolution variant of the discrete Hopfield neural network satisfiability model.
- Author
-
Feng, Caicai and Sathasivam, Saratha
- Subjects
HOPFIELD networks ,HAMMING distance ,RECOMMENDER systems ,MACHINE learning ,COMPUTER science - Abstract
The Boolean satisfiability problem, a renowned NP-complete challenge in computer science, has recently garnered interest in the Discrete Hopfield Neural Network - Satisfiability model. This model adeptly integrates logical rules into Hopfield networks, excelling in locating global minima for traditional SAT problems. However, it faces efficiency challenges when dealing with SAT problems characterized by dynamic evolution constraints due to its static network architecture. During dynamic evolution iterations, there is a significant exponential increase in the computational costs due to redundant and repetitive computations. In order to address this challenge, this paper introduces a dynamic evolution variant of the Discrete Hopfield Neural Network - Satisfiability model. In extensive simulation experiments, we progressively augmented the number of constraint clauses from 1 to 1500, seeking global minima for CNF problems. The proposed model exhibited congruent performance with the traditional model, achieving a Global Minimum Ratio of 1 and a Hamming distance of 0. Crucially, the proposed model minimized CPU utilization and neared zero error metrics, while the traditional model experienced exponential CPU and error metric escalation. These outcomes affirm the proposed model's robust global search capabilities and high precision, aligning with the traditional model. Furthermore, owing to this model's incorporation of not only temporal constraint increment operator but also innovative real-time learning techniques and clever integration methods, along with the establishment of a novel real-time decision mechanism, the proposed model effectively addresses the issues of redundancy and repeated calculations inherent in traditional models. This results in a stable and significantly improved computational speed. Additionally, this model's dynamic evolution network architecture is specifically designed to accommodate arbitrary and efficient extensions of dynamic constraints, while also featuring a built-in preprocessing function to filter out duplicate variables. In the future, as a dynamic evolution processor, this model exhibits immense potential for solving large-scale SAT problems with dynamic evolution constraints and holds broad application prospects in emerging fields such as automated reasoning, intelligent recommendation systems, and machine learning. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
50. Bibliometrics of Brand-related Social Media Content.
- Author
-
Yaprak, Burak
- Subjects
SOCIAL media ,USER-generated content ,BIBLIOMETRICS ,COMPUTER science ,SOCIAL media in marketing - Abstract
This study presents bibliometric analysis of brand-related content on social media. By filtering by topic in the WOS database, publications between 2000 and 2021 on two types of social media content, firm-generated content (FGC) and user-generated content (UGC), are examined. For FGC, 47 articles in the database are reviewed, while 3502 articles are included in the analysis for UGC. The research results found that while the FGC studies of the researchers mainly were "Business," the UGC articles were "Computer Science Information Systems" predominantly. In addition, the journal that gives the most place to studies with the FGC topic is the Journal of Marketing. On the other hand, the journals New Media & Society and Sustainability published 46 articles each for UGC studies. As a result of the co-word network analysis, although there were five themes in the map of the FGC articles, more than ten themes were found in the map of the UGC articles. The research results are expected to shed light on researchers who will work on brand-related social media content in the following years. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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