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This book offers a comprehensive overview of how to utilize the bioconvergence revolution to substantially enhance research productivity. It carefully addresses critical issues such as ethical dilemmas, collaborative dynamics, funding, and operational efficiency, complete with concrete examples of how to overcome these challenges. Historically, the natural world has served as a profound source of inspiration for technological innovation. The natural materials, structures, and processes found in organisms have facilitated numerous scientific advancements. Presently, the integration of nature with scientific research is intensified through convergence. The book explores this convergence as a multidisciplinary approach that leverages the synergies among digital technologies, material sciences, and biotechnology, aiming to significantly accelerate and broaden the scope of scientific breakthroughs. This volume provides a scholarly account of the emerging opportunities catalyzed by bioconvergence, emphasizing the necessity for rigorous ethical frameworks and standards as biotechnologies and digital tools converge to explore new frontiers. It delves into the challenges of financing scientific advancement and articulates how funding underpins multidisciplinary research efforts. Featuring Israel as a leader in this revolutionary field, the book meticulously outlines the Israeli ecosystem as a paradigm of innovation in bioconvergence. This work possesses a broad interdisciplinary appeal, making it an essential resource for researchers in both industry and academia, as well as for scholars and funding bodies dedicated to the advancement of science.

The proceedings of the 8th International Symposium on Chaos, Complexity, and Leadership present various concepts of diverse research methodologies to explore chaos and complexity across different scientific fields of leadership. Particular emphasis will be placed on investigating non-linearity to stimulate discussion on novel approaches and perspectives regarding chaos, complexity, and leadership. The book delves into recent developments from diverse fields, employing chaos and complexity theory as analytical tools. Readers will find insights into important contemporary events, regardless of the various perspectives across social, political, economic, or scientific domains. It integrates numerous aspects and challenges regarding the impact of chaos and complexity on our world, utilizing nonlinear dynamics to suggest transformative policies. It aims to investigate and predict future paths through an interdisciplinary approach. Given the current societal and economic turbulence, leadership across all sectors necessitates reassessment. Consequently, this book primarily targets individuals interested in nonlinear science and leadership. However, its content extends its appeal to a broader audience due to its application of chaos and complexity to other disciplines. The primary audience comprises academics, professionals, and decision-makers seeking to implement new approaches and methodologies in practice.

This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9–12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.

This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31st, 2023. Cyber-physical systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.This is an open access book.

The three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.

This book is composed by a selection of articles from the 12th World Conference on Information Systems and Technologies (WorldCIST'24), held between 26 and 28 of March 2024, at Lodz University of Technology, Lodz, Poland. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main and distinctive topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human-Computer Interaction; J) Ethics, Computers and Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; and N) Technologies for Biomedical Applications. The primary market of this book are postgraduates and researchers in Information Systems and Technologies field. The secondary market are undergraduates and professionals as well in Information Systems and Technologies field.

The Digital Factory is a comprehensive guide for leaders in the manufacturing sector looking to navigate the complex digital transformation landscape. Digitalization has become crucial to any company's success in today's fast-paced business world. However, making sense of the plethora of information on approaching digitalization can be challenging, leaving many leaders needing clarification. The pressure to make the right decisions can be overwhelming, with various groups advocating their interests. Without a clear vision and understanding of digital transformation, leaders may lack confidence in making the right company decisions. And with access to specific and valuable knowledge about digital transformation, achieving optimal returns for the company can be more accessible. This book is designed to empower leaders in the manufacturing sector to overcome these challenges.

This book constitutes the refereed proceedings of Workshops held at the 19th European Dependable Computing Conference, EDCC 2024: ​First Workshop on Safe Autonomous Systems, SafeAutonomy 2024, and the First Workshop on the Role of TRUST in the implementation of Digital Technologies: Blockchain Technology and Artificial Intelligence in Smart Cities, TRUST IN BLOCKCHAIN 2024. The 13 workshop papers presented in this book were thoroughly reviewed and selected from 14 submissions. The TRUST IN BLOCKCHAIN workshop accepted extended abstract submissions, whereas the SafeAutonomy workshop accepted regular technical papers, case studies, PhD forum papers, as well as position papers. They deal with latest research results on theory, techniques, systems, and tools for the design, validation, operationand evaluation of dependable and secure computing systems.

These proceedings offer an insightful exploration of integrating data analytics in system engineering. This book highlights the essential role of data in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering. It is a must-read for anyone keen on understanding and participating in the ongoing evolution of system engineering in our data-centric world.

This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2023) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.

Many cities in the developed world are undergoing a digital revolution, and have placed the'smart city'on their list of priorities. Smart cities use technological solutions such as Internet of Things, AI, 5G, Big Data, Cloud computing, Smart Grid, as well as all the emerging technologies of the digital era, to improve the management and efficiency of the urban environment. The aim is to make residents happier, healthier, smarter and more prosperous, and to make the city greener, cleaner, more sustainable, more responsible, more functional, more resilient, and more competitive. Enhanced by extensive research studies and carried out under the guidance of international scientific experts in the field. This book explores various papers related to smart cities, including digital twins, geo-smart information systems, education, healthcare, economy and digital business, building and home automation, environment and agriculture, and information technologies and computer science.

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security.

This open access book explores the multifaceted interplay of technology, knowledge, and place. While digital technology is increasingly influencing our way of knowing, conversely it is itself the consequence of human creativity and local social interaction. Part I analyzes how digital technologies transform markets through artificial intelligence and decentralized blockchain models. Its contributions discuss novel governance mechanisms, including the responsible use and analysis of big data. Part II illustrates various ways in which technology supports humanity, be it algorithms supporting complex decision-making processes or the use of robotics in care services. The chapters highlight that technology's efficiency and potential rely on social norms and human capital. Finally, Part III shows that digitization is generating vibrant entrepreneurship, reflected in geographically clustered urban scale-up economies, as well as opening up new ways for people to connect with one another, organize civic engagement and enable new forms of labor. The book offers theoretical reflections as well as empirical cases from the United States, Canada, Japan, South Africa, and Europe. This volume provides a valuable read for scholars, students and professionals in the fields of knowledge creation, technology and governance.

The world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs significant restoration before it can sustain crops again. By 2030, the water supply will fall 40% short of meeting global demand. Moreover, looming climate change poses additional challenge to increasing food production to feed 10 billion people by 2050. Current major agricultural systems are on a largely unsustainable trajectory because of their contributions to greenhouse gas emissions, water pollution, and biodiversity loss.For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production. They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sustainable farming and economic benefits. This book summarizes the latest advances in AI-integration of agriculture practices. Specific focus includes but not limited to, big data, yield mapping, pests management, and optimal fertigation. As such, it presents a forward-looking approach to meet multiple UN Sustainable Development Goals, specifically, SDG 2, 6, 13 and 15.

Encyclopedia of Computer Graphics and Games (ECGG) is a unique reference resource tailored to meet the needs of research and applications for industry professionals and academic communities worldwide. The ECGG covers the history, technologies, and trends of computer graphics and games.EditorNewton Lee, Institute for Education, Research, and Scholarships, Los Angeles, CA, USA Academic Co-ChairsShlomo Dubnov, Department of Music and Computer Science and Engineering, University of California San Diego, San Diego, CA, USAPatrick C. K. Hung, University of Ontario Institute of Technology, Oshawa, ON, CanadaJaci Lee Lederman, Vincennes University, Vincennes, IN, USAIndustry Co-ChairsShuichi Kurabayashi, Cygames, Inc. & Keio University, Kanagawa, JapanXiaomao Wu, Gritworld GmbH, Frankfurt am Main, Hessen, Germany Editorial Board MembersLeigh Achterbosch, School of Science, Engineering, IT and Physical Sciences, Federation University Australia Mt Helen, Ballarat, VIC, AustraliaRamazan S. Aygun, Department of Computer Science, Kennesaw State University, Marietta, GA, USABarbaros Bostan, BUG Game Lab, Bahçeşehir University (BAU), Istanbul, TurkeyAnthony L. Brooks, Aalborg University, Aalborg, DenmarkGuven Catak, BUG Game Lab, Bahçeşehir University (BAU), Istanbul, TurkeyAlvin Kok Chuen Chan, Cambridge Corporate University, Lucerne, SwitzerlandAnirban Chowdhury, Department of User Experience and Interaction Design, School of Design (SoD), University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, IndiaSaverio Debernardis, Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, ItalyAbdennour El Rhalibi, Liverpool John Moores University, Liverpool, UKStefano Ferretti, Department of Computer Science and Engineering, University of Bologna, Bologna, ItalyHan Hu, School of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaMs. Susan Johnston, Select Services Films Inc., Los Angeles, CA, USAChris Joslin, Carleton University, Ottawa, CanadaSicilia Ferreira Judice, Department of Computer Science, University of Calgary, Calgary, CanadaHoshang Kolivand, Department Computer Science, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, UKDario Maggiorini, Department of Computer Science, University of Milan, Milan, ItalyTim McGraw, Purdue University, West Lafayette, IN, USAGeorge Papagiannakis, ORamaVR S.A., Heraklion, Greece; FORTH-ICS, Heraklion Greece University of Crete, Heraklion, GreeceFlorian Richoux, Nantes Atlantic Computer Science Laboratory (LINA), Université de Nantes, Nantes, FranceAndrea Sanna, Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, ItalyYann Savoye, Institut fur Informatik, Innsbruck University, Innsbruck, AustriaSercan Şengün, Wonsook Kim School of Art, Illinois State University, Normal, IL, USARuck Thawonmas, Ritsumeikan University, Shiga, JapanVinesh Thiruchelvam, Asia Pacific University of Technology & Innovation, Kuala Lumpur, MalaysiaRojin Vishkaie, Amazon, Seattle, WA, USADuncan A. H. Williams, Digital Creativity Labs, Department of Computer Science, University of York, York, UKSai-Keung Wong, National Chiao Tun

This volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.

This book collects contributions of forefront research and practices related to the use of the enabling technologies of Industry 4.0 in the architecture and design fields and their impact on the UN's Sustainable Developments goals. The book is structured into three sections (research, practice, and technologies), with the goal of creating a new framework useful for widespread awareness necessary to initiate technology transfer processes for the benefit of the public sector, universities, research centers, and innovative companies, and a new professional figure capable of controlling the entire process is essential. Thus, the book chapters arouse a series of relevant topics such as computational and parametric design, performance-based architecture, data-driven design strategies, parametric environmental design and analysis, computational and parametric structural design and analysis, AI and machine learning, BIM and interoperability, VR and AR, digital and robotic fabrication, additive manufacturing and 3D printing, R&D and entrepreneurship, circular architecture, and didactics. In the post-digital era, where the essence of design lies in the control and information of the process that holistically involves all the aspects mentioned above, rather than in formal research, it is necessary to understand technologies and analyze the advantages that they can bring in terms of environmental sustainability and product innovation.

This book gathers peer-reviewed contributions presented at the 5th International Conference on Structural Engineering and Construction Management (SECON'24), held in Angamaly, Kerala, India, on 5–7 June 2024. The meeting served as a fertile platform for discussion, sharing sound knowledge and introducing novel ideas on issues related to sustainable construction and design for the future. The respective contributions address various aspects of numerical modeling and simulation in structural engineering, structural dynamics and earthquake engineering, advanced analysis and design of foundations, BIM, building energy management, and technical project management. Accordingly, the book offers a valuable, up-to-date tool and essential overview of the subject for scientists and practitioners alike, and will inspire further investigations and research.

This book consists of twelve chapters covering the design aspects, their feasibility, mathematical modeling by numerical, experimental, computational and simulation approaches. It discusses how different internet technologies integrate mechatronics systems with people, products and complex systems. The methodology and tools included in this book focus on contemporary aspects of integrating Industry 4.0 and mechatronics systems for new means and models to achieve a sustainable green environment. Readers will get an insight into the current development of mechatronics systems in the context of scientific disciplines and present new results of research and development, indicating the trends of development in this interdisciplinary field.

This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2024), held during March 16–17, 2024, at National Institute of Technology Srinagar, Uttarakhand, India.

This book presents the select proceedings of the Control Instrumentation and System Conference (CISCON 2023) held at Manipal Institute of Technology, MAHE, Manipal. It examines a broad spectrum covering the latest trends in instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems, and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety-critical control, supervisory control, system modeling, and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive management, automation and control, and allied fields.

This book offers a comprehensive exploration of the intersection of urban planning, transportation, technology, and smart city development. With a keen focus on sustainability and the potential for positive change, it presents a collection of diverse chapters that shed light on emerging trends and innovative solutions in the field. The book examines the role of urban ropeways as both a public transport service and a catalyst for touristic development, highlighting their potential benefits and challenges. It also introduces novel approaches to measuring accessibility and transportation potential using Space Syntax and Geographic Information Systems (GIS), providing valuable insights for urban planners and policymakers. The chapters delve into specific areas of study, such as the driving behavior of individuals with high-functioning autism spectrum disorder, the mobility challenges faced by women in developing countries, and alternative methods of snow and ice removal in parkingareas through hydronic heating. Furthermore, the book explores the intersection of sustainability, smart cities, and global travel, considering the impact of aviation on climate change and the potential of digital humanism in the metaverse. It also examines the implications and challenges of cultural biases in smart city development, emphasizing the need for inclusive and culturally sensitive approaches. The integration of Internet of Things (IoT) in housing is discussed, focusing on the domotization of sustainable walls and their potential benefits for energy efficiency and sustainable living. The use of immersive technologies in virtual heritage is explored, showcasing innovative tourist experiences and highlighting the case of the Berati Ethnographic Museum. The book also addresses the potential of web mapping applications for smart city development, the behavioral attitudes toward ridesharing and mode preferences of shared automated electric vehicles, the development of wind turbine systems for vehicle battery recharging, and the application of knowledge-driven problem identification in transformative city design and development. “Smart City Innovations'serves as a valuable resource for researchers, professionals, policymakers, and anyone interested in the future of urban planning, transportation, and smart cities. By addressing pressing challenges and presenting innovative solutions, this book aims to inspire positive change and contribute to the creation of sustainable and livable urban environments.

This book addresses the key aspects concerning the rapid development of mechatronics. It also helps to understand the respective great significance of cooperation between researchers and professionals. Mechatronics is crucial for many areas of life. However, its invaluable contribution is particularly seen in the Fourth Industrial Revolution (Industry 4.0). In response to the current issues in mechatronics, the 6th International Conference Mechatronics 2023: Ideas for Industrial Applications was organized from 11 to 13 December 2023 in Krakow, Poland. The following topics were discussed: artificial intelligence, robotics, image processing, software, control systems, space applications, modeling and identification of mechatronic systems, smart materials, and prototype construction with 3D printing. This book provides the solutions ready for implementation in industry. These solutions grew out of the ideas exchange between the Conference attendees representing various backgrounds.

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.

This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations.

The book “Applied Assistive Technologies and Informatics for Students with Disabilities” provides a comprehensive guide to assist students with learning disabilities in higher education via modern assistive technologies and informatics. This book will take us on a tour of the various modern assistive technologies, such as artificial intelligence (AI), blockchain, computer vision (CV), text analytics (TA), the metaverse, human-computer interaction (HCI), digital twins (DT), and federated learning (FL), and how they support higher education students with learning disabilities. This book is intended for students with learning disabilities, scientists and researchers, lecturers and teachers, academic and corporate libraries, practitioners, and professionals who are interested in providing inclusive education to students with learning disabilities through the application of modern assistive technologies and informatics. This book is ideal for readers who are new to the subject and knowledgeable about the principles of inclusive education. In addition, it is a fantastic resource for teachers and parents assisting students with learning disabilities. This book can be a powerful tool to educate more students about learning disabilities, which can help eradicate the bullying of these students.

This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings.This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.

This book is concerned with the study of climate change from the perspective of risks for the economy and business. Rethinking climate change from a risk perspective allows making a significant transition from the consideration of climate as a predetermined and permanent context to its interpretation as a factor that influences the economy and business. Thanks to the new risk perspective on climate change, the book offers opportunities and offers recommendations for adapting businesses and economic sectors to climate risks.As a forward-looking response (management measure) to the risks of climate change in the economy and business, this book suggests using smart green innovations in Industry 4.0 – high technologies in support of the sustainable development goals (SDGs). The advantage of smart technologies to combat climate change is their increased flexibility and adaptability, as well as the resistance of smart (automated, robotic) machines to different environmental conditions.The academic significance of the book is attributable to the fact that it covers, as widely and comprehensively as possible, the full range of ground-breaking smart green innovations in Industry 4.0 with a potential of climate change risk management: from green finance (for example, blockchain-based cryptocurrencies) to smart and clean energy, as well as smart industrial innovations in Industry 4.0. The combination of public and corporate risk management measures of climate change allows achieving a “synergetic effect” in the form of enhanced support for the implementation of the SDGs.

This book constitutes the refereed proceedings of the 24th International Conference on Product-Focused Software Process Improvement, PROFES 2023, which took place in Dornbirn, Austria, in December 2023. The 21 full technical papers, 6 industrial papers, 8 short papers and 1 poster paper were carefully reviewed and selected from 82 submissions. The book also contains one tutorial paper, 11 workshop papers and 3 doctoral symposium papers. The contributions were organized in topical sections as follows: Part I: Software development and project management; machine learning and data science; software analysis and tools; software testing and quality assurance; security, vulnerabilities, and human factors; Part II: Posters; Tutorials; 2nd Workshop on Computational Intelligence and Software Engineering (CISE 2023); 2nd Workshop on Engineering Processes and Practicesfor Quantum Software (PPQS'23); doctoral symposium.

This two-volume set LNCS 14467-14468 constitutes the proceedings of the First Energy Informatics Academy Conference, EI.A 2023,held in Campinas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. The conference focuses on the application of digital technology and information management to facilitate the global transition towards sustainable and resilient energy systems.

This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike. The primary aim of this book is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world.

This book constitutes the refereed proceedings of the 17th International Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023.The 16 full papers and the 9 short papers included in this volume were carefully reviewed and selected from 71 submissions. They address the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice.

This book constitutes the proceedings of the 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, held in Aveiro, Portugal, in September 2023.The 34 full papers included in this volume were carefully reviewed and selected from 126 submissions. Additionally, 24 posters and 16 demonstration papers were included in the proceedings. The papers focus on sustainable teaching and learning practices in the post-pandemic educational ecosystem.

This book contains high-quality refereed research papers presented at the 6th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2023), which took place in Warsaw, Poland, on March 17–19, 2023, and was organized by the National Technical University of Ukraine'Igor Sikorsky Kyiv Polytechnic Institute”, the National Aviation University, Lviv Polytechnic National University, the Polish Operational and Systems Society, Warsaw University of Technology, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education.

This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions.Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

This book includes extended and revised versions of a set of selected papers from the 17th International Conference on Software Technologies, ICSOFT 2022, held in Lisbon, Portugal, during July 11–13, 2022. The 10 full papers included in this book were carefully reviewed and selected from 102 submissions. They were organized in topical sections as follows: tool assisted empirical approach to reusability models assessment; functional programming; three forms of mutant subsumption: basic, strict and broad; and on the efficiency of building large collections of software: modeling, algorithms, and experimental results.

This book constitutes papers presented during the workshop session titled “CyberSec4Europe - Research to Innovation: Common Research Framework on Security and Privacy” during the Privacy Symposium hosted by Università Ca'Foscari in Venice, Italy, in April 2022. The 11 peer-reviewed selected papers present findings, conclusions, research, and recommendations in various security-related areas, from highly technical ones (e.g., software and network security) to law and human-centric ones (e.g., governance and cybersecurity awareness).

This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: • the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and • the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.

This edited collection approaches the field of social robotics from the perspective of a cultural ecology, fostering a deeper examination of the reach of robotic technology into the lived experience of diverse human populations, as well as the impact of human cultures on the development and design of these social agents. To address the broad topic of Cultural Robotics, the book is sectioned into three focus areas: Human Futures, Assistive Technologies, and Creative Platforms and their Communities. The Human Futures section includes chapters on the histories and future of social robot morphology design, sensory and sonic interaction with robots, technology ethics, material explorations of embodiment, and robotic performed sentience. The Assistive Technologies section presents chapters from community-led teams, and researchers working to adopt a strengths-based approach to designing assistive technologies for those with disability or neurodivergence. Importantly, this section contains work written by authors belonging to those communities. Creative Platforms and their Communities looks to the creative cross-disciplinary researchers adopting robotics within their art practices, those contributing creatively to more traditional robotics research, and the testing of robotics in non-traditional platforms such as museum and gallery spaces. Cultural Robotics: Social Robots and their Emergent Cultural Ecologies makes a case for the development of social robotics to be increasingly informed by community-led transdisciplinary research, to be decentralised and democratised, shaped by teams with a diversity of backgrounds, informed by both experts and non-experts, and tested in both traditional and non-traditional platforms. In this way, the field of cultural robotics as an ecological approach to encompassing the widest possible spectrum of human experience in the development of social robotics can be advanced.

This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.

This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV'2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the computer, Networks, Mobility and Modeling Laboratory (IR2M), Faculty of Sciences and Techniques, Hassan First University, Settat, Morocco, the Scientific Research Group in Egypt (SRGE), Cairo University, and the Automated Systems & Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, sentiment analysis, and recommendation systems, and software-defined network and telecommunication.

This book presents a collection of state-of-the-art research findings on the digital transformation of financial services. Digitalization has fundamentally changed financial services and has a tendency to reshape the landscape of the financial industry in an unprecedented manner. Over the last ten years, the development of new financial technologies has contributed to the creation of new business and organizational models, along with new approaches to service delivery. By encompassing significant conceptual contributions, innovations in methods and techniques, and by delineating the main applications of digital transformation in Central and Eastern Europe (CEE), the volume extends current knowledge on digital transformation in the financial industry. The book is divided into two parts. The first part provides a social-science perspective on digital transformation in the financial industry. The second part provides the most recent evidence on how financial technologies are transforming financial services on the markets, and how the adoption of modern information technologies fosters setting up new financial services. Further, this part outlines new approaches to digital transformation in the financial industry.This book will appeal to students, scholars, and researchers of finance, monetary economics, and business, as well as practitioners interested in a better understanding of the digital transformation of financial services, new financial technologies, and innovations in finance.

This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.

The two-volume set LNICST 460 and 461 constitutes the proceedings of the 18th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022. The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition.

This book presents select proceedings of the Electric Power and Renewable Energy Conference 2022 (EPREC-2022). It provides rigorous discussions, case studies, and recent developments in the emerging areas of power electronics, especially power inverters and converter, electrical drives, regulated power supplies, operation of FACTS and HVDC, etc. The readers would be benefited from enhancing their knowledge and skills in these domain areas. The book is a valuable reference for beginners, researchers, and professionals interested in advancements in power electronics and drives.

​Blockchain technology (BT) is quietly transforming the world, from financial infrastructure, to the internet-of-things, to healthcare applications. With increasing penetration of BT into various areas of our daily lives, the need arises for better awareness and greater knowledge about the capabilities, benefits, risks, and alternatives to distributed ledger applications. It is hoped that current book will be one of the pioneering collections focusing on blockchain implementations in the area of healthcare, with specific aim to present content in an easy-to-understand and readily accessible way for typical end-users of blockchain-based applications. There are important areas within the fabric of modern healthcare that stand to benefit from implementations of BT. These areas include electronic medical records, quality control, patient safety, finance, device tracking, biostamping/biocertification, redundant storage of critical data, health and liability insurance, medication utilization tracking (including opioid and antibiotic misuse), financial transactions, academics/education, asset tokenization, public health and pandemics, healthcare provider credentialing, and many other potential applications. The ultimate goal of the proposed book would be to provide an integrative, easy-to-understand, and comprehensive picture of the current state of blockchain use in healthcare while actively engaging the reader in a forward-looking, exploratory approach toward future developments in this space. To accomplish this goal, an expert panel of contributors has been assembled, featuring scholars from top global universities and think-tanks.

This book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning,management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎gerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.

This open access book shows some of the highlights presented at the XV Ibero-American Congress of Mechanical Engineering. The papers explore the forefront of Mechanical Engineering, containing research into fluid mechanics, energy systems, tribology, materials science, robotics, mechatronics, biomechanics, instrumentation, thermodynamics, and mechanical sustainability.

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.