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Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS.Features Presents cutting-edge topics and research in IoT and CPS Includes contributions from leading worldwide researchers Focuses on CPS architectures for secure and smart environments Explores AI/ML and blockchain approaches for providing security and privacy to CPS including smart grids, smart cities, and smart healthcare Provides comprehensive guidance into the intricate world of software development for medical devices Covers a blueprint for the emergence of 6G communications technology in Industry 5.0 and federated-learning-based secure financial services This book covers state-of-the-art problems, existing solutions, and potential research directions for CPS researchers, scholars, and professionals in both industry and academia.

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.

This book presents the proceedings of 4th EAI International Conference on Smart Technology (MTYMEX), which took place March 28-29, 2024, Vancouver, B.C., Canada. MTYMEX is an international conference aimed at demonstrating the potential of new applications for the Internet in the future. The authors offer perspectives on research on smart technologies in society, including the results of research projects on virtual reality, block chain, artificial intelligence, and smart cities. The book offers examples of applications with smart technologies in different knowledge areas. The conference brings together the academic, research and private sectors working on applications and smart devices for e-health and smart cities.

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the 8th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2024), held in Ahmedabad, India. The book is divided into six volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering “Congress on Control, Robotics, and Mechatronics” (CRM 2024), jointly organized by SR University, Warangal, India, and Soft Computing Research Society, India, during 3–4 February 2024. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.

This open access book constitutes the proceedings of the 36th International Conference on Computer-Aided Verification, CAV 2024, which took place in Montreal, Canada, during July 24–27, 2024.The primary focus of CAV is to extend the frontiers of verification techniques by expanding to new domains such as security, quantum computing, and machine learning.

The book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2023) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 4–5 November 2023. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms, machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

This volume represents the 21st International Conference on Information Technology - New Generations (ITNG), 2024. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.

The book presents selected papers from International Conference on Multi-Strategy Learning Environment (ICMSLE 2024), held at Graphic Era Hill University, Dehradun, India, during 12–13 January 2024. This book presents current research in machine learning techniques, deep learning theories and practices, interpretability and explainability of AI algorithms, game theory and learning, multi-strategy learning (MSL) in distributed and streaming environments, and adaptive data analysis and selective inference.

This edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.

The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability.Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as: Intelligent and adaptive computing for sustainable energy, water, and transportation networks Blockchain for decentralized systems for sustainable applications, systems, and infrastructure IoT for sustainable critical infrastructure Explainable AI (XAI) and decision-making models for computational sustainability Sustainable development using edge computing, fog computing and cloud computing Cognitive intelligent systems for e-learning Artificial Intelligence and machine learning for large scale data Green computing and cyber physical systems Real-time applications in healthcare, agriculture, smart cities, and smart governance.By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.

This book constitutes the proceedings of the 28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023, which was held in Yunlin, Taiwan, during December 1–2, 2023. `The 35 full papers and 12 short papers included in this book were carefully reviewed and selected from 193 submissions. The TAAI 2023 provides a platform for experts and scholars from domestic and international universities, research units, and industries to exchange AI technologies and application results.

This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.

This book provides readers with a brief account of the history of Language Identification (LI) research and a survey of the features and methods most used in LI literature. LI is the problem of determining the language in which a document is written and is a crucial part of many text processing pipelines. The authors use a unified notation to clarify the relationships between common LI methods. The book introduces LI performance evaluation methods and takes a detailed look at LI-related shared tasks. The authors identify open issues and discuss the applications of LI and related tasks and proposes future directions for research in LI.

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area.This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

This book constitutes the refereed proceedings of the 16th International Conference on Scalable Uncertainty Management, SUM 2024, held in Palermo, Italy, during November 27–29, 2024. The 28 full and 7 short papers presented in this volume were carefully reviewed and selected from 43 submissions. SUM 2024 solicited three types of paper submissions: Long papers reporting on original research or providing surveys that synthesize current research trends, short papers describing promising work in progress, systems, or positions on controversial issues, and extended abstracts.

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Future Access Enablers for Ubiquitous and Intelligent Infrastructures, FABULOUS 2024, held in Zagreb, Croatia, during May 9–10, 2024. The 14 full papers were carefully reviewed and selected from 35 submissions. The papers are organized in thematic sessions on: Future access networks, Sustainable Communications Computing Infrastructures, Environment Applications Scenarios.

This book constitutes the refereed proceedings of the 9th International Conference on Information, Communication and Computing Technology, ICICCT 2024, held in New Delhi, India, on May 11, 2024. The 13 full papers presented here were carefully reviewed and selected from 176 submissions. These papers have been categorized into the following topical sections: Intelligent systems and Pattern recognition.

The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas.

This book constitutes the refereed proceedings of the 10th International Symposium on Symbolic Computation in Software Science, SCSS 2024, which took place in Tokyo, Japan, during August 28-30, 2024. The 7 full papers were carefully reviewed and selected from 25 submissions. The papers presented emphasize formal analysis and proof of theorems invarious applications, foundational work on rewrite systems, and sound handling of branches of inverse functions.

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during 5–6 January 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

This two-volume set, CCIS 2068 and 2069, constitutes selected papers presented during the Second Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2023, held in Addis Ababa, Ethiopia, in October 2023. The set goal of the conference is to exchange the best practices of joint Pan-African efforts to provide solutions for Africa's key 21st century challenges in the social, economic and ecologic domains. The 29 papers were thoroughly reviewed and selected from 134 submissions. The papers are organized in the following topical sections: Medical AI; Natural Language Processing, Text and Speech Processing; AI in Finance and Cyber Security; Autonomous Vehicles; AI Ethics and Life Sciences.

The 22nd International Conference on Systems Engineering Research (CSER 2024) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering. CSER was founded in 2003 by Stevens Institute of Technology and the University of Southern California. In 2024 the conference was hosted by the University of Arizona, home to the first-ever established Department of Systems Engineering. The following foundational research topics are included: • Scientific Foundations of Systems Engineering • Digital Engineering, Digital Twins • Digital Transformation • Advances in Model-Based Systems Engineering (MBSE) • Value-based and Agile Systems Engineering • Artificial Intelligence for Systems and Software Engineering (AI4SE) • Systems and Software Engineering for Artificial Intelligence (SE4AI) • Cybersecurity and System Security Engineering • Uncertainty and Complexity Management • Trust and Autonomous Systems • Human-Systems Integration • Systems of Systems • Social Systems Engineering • Systems Thinking • Advances in requirements engineering, systems architecture, systems integration, and verification and validation. The 21st Annual Conference on Systems Engineering Research (CSER 2024) was poised to push the boundaries of systems engineering, embracing a wide array of themes from its scientific underpinnings to the forefront of digital engineering transformation and the seamless integration of artificial intelligence within systems and software engineering. Delving into cutting-edge topics such as Model-Based Systems Engineering (MBSE), cybersecurity, and the management of uncertainty and complexity, CSER 2024 tackled the varied challenges and seize the opportunities emerging in the field. The conference's commitment to blending theoretical insights with practical innovations makes it a pivotal event for the systems engineering community.

'This book constitutes the refereed proceedings of the 37th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2024, held in Hradec Kralove, Czech Republic, in July 10–12, 2024. The 38 full papers and 3 short papers presented were carefully reviewed and selected from 79 submissions. The papers focus on the following topics: Computer vision, Cyber security, Data mining, E-applications, Machine learning, Neural networks, Optimization and Various applications.'

With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.

This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2–3, 2023. The papers represent the various technological advancements in theory, technology and application of artificial intelligence, including precision mining, intelligent computing, deep learning, and all other theories, models, and technologies related to artificial intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and intelligent computing. The book represents Volume 1 for this conference proceedings, which consists of a 3-volume book series.

The rise of Android malware poses a significant threat to users'information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware. This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.

Dieses Buch umfasst und beschäftigt sich mit den jüngsten Fortschritten und modernsten Anwendungen von naturinspirierten Computertechniken (NIC) im Bereich der Bioinformatik und der Computerbiologie, die die medizinischen Wissenschaften bei verschiedenen klinischen Anwendungen unterstützen können. Dieser Sammelband befasst sich mit den grundlegenden Anwendungen, dem Umfang und den Zukunftsperspektiven von NIC-Techniken in der Bioinformatik, einschließlich der Erstellung von Genomprofilen, der Klassifizierung von Genexpressionsdaten, der DNA-Berechnung, der System- und Netzwerkbiologie, der Lösung von Komplikationen bei personalisierten Therapien, der antimikrobiellen Resistenz bei bakteriellen Krankheitserregern und der computergestützten Entwicklung von Arzneimitteln, deren Entdeckung und Therapie. Darüber hinaus wird die Rolle von NIC-Techniken bei verschiedenen Krankheiten und Störungen behandelt, einschließlich Krebserkennung und -diagnose, Brustkrebs, Erkennung von Lungenkrankheiten, Krankheits-Biomarkern und Identifizierung potenzieller Therapeutika.

This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at South Asian University, New Delhi, India during October 14–15, 2023. IJCACI 2023 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, held in Daegu, South Korea, during November 8–10, 2023.The 55 full papers and 16 short papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: Volume I: Natural Language and Dialouge Systems, Affective Computing and Human Factors, Human Centred AI, Human-Robot Interaction and Intelligent Interfaces and User Centred Design.Volume II: AI and Big Data, Deep Learning, Intelligent Systems, Mobile Computing and Ubiquitous Interactions and Social Computing and Interactive Elements.

This book features selected high-quality papers presented at the 2023 International Conference on Electrical and Electronics Engineering (ICEEE 2023), organized at Chitkara University, Himachal Pradesh in August 2023. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics–power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing and others. The book brings both single- and multidisciplinary research on these topics to provide the most up-to-date information in one place. The book offers an asset for researchers from both academia and industries involved in advanced studies.

This book delves into the confluence of AI and the transformative potential it holds for the future of 6G network services. It uncovers how the integration of AI technologies as well as redefines the landscape of network management and control. This book also offers a new paradigm for delivering on-demand services that are immersive, personalized and of ultimate performance. A detailed exploration of AI-driven network management systems is presenting in this book, discussing the development of knowledge-defined networking, the construction of all-scenario on-demand service systems and the critical role of network management and control in achieving 6G's vision. This book begins by examining the historical evolution of communication networks and the pivotal shift towards technology-driven demands in the 6G era. It outlines the book's coverage of the foundational theories, wireless technologies as well as network architectures that will underpin the next generation of mobile services. Further, this book provides a comprehensive analysis of the key technologies required to support 6G on-demand services, such as trusted and autonomous access control, intelligent resource allocation and service capability coordination. It discusses the challenges and opportunities in developing a network that is not only high-performing but also adaptable to a wide range of applications, from personal use to industrial and agricultural production, and public services. This book targets advanced-level students and researchers working in this field serving as both a technical guide and a visionary outlook on the role of AI in shaping 6G networks. It also offers insights into the research, development, and potential applications of AI in network services, making it an invaluable resource for professionals, who understand or contribute to the advancement of 6G technologies.

This book gathers papers presented during the 5th International Conference on Electrical Engineering and Control Applications (ICEECA 2022), held on November, 15–17, 2022, Khenchela, Algeria. It covers new control system models, troubleshooting tips, and complex system requirements, such as increased speed, precision, and remote capabilities. Additionally, the book discusses not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. The later part of the book covers important related topics such as fault diagnosis and fault-tolerant control strategies for nonlinear systems and alternative energy sources. This book is intended for researchers, engineers, and advanced postgraduate students in the fields of control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.

This volume constitutes the refereed proceedings of 17th International Symposium on Algorithmic Game Theory, SAGT 2024, held in Amsterdam, The Netherlands, during September 3–6, 2024. The 29 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: matching; fair division and resource allocation; mechanism design; game theory and repeated games; pricing, revenue, and regulation; matroid theory in game theory; information sharing and decision making; computational complexity and resource allocation.

This book includes extended versions of selected research works that were presented at the 14th International Conference on Information, Intelligence, Systems, and Applications (IISA2023), Volos, Greece, 10–12 July 2024 (https://www.easyacademia.org/iisa2023) along with additional relevant papers by invited authors. Information is widely available and accessible but frequently leads to information overload and overexposure and the effort for coding, storing, hiding, securing, transmitting, and retrieving it may be excessive. Intelligence, inspired by biological and other paradigms, is required to manage information and extract knowledge from it. Information and multimedia systems, with an increasing level of intelligence, are being developed that incorporate these advances. As a result, new technologies, protocols, and novel applications are emerging. In turn, the novel applications lead to the collection of new information, and the “Information à Intelligence à Systems à Applications” circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture, medicine, forensics, healthcare, education, tourism, inspection, traffic, and software engineering. Targeted towards academicians, researchers, practitioners, and students in computer science and artificial intelligence, this work is also accessible to individuals from other disciplines interested in the cutting-edge developments of information, intelligence, systems, and applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into the application areas of interest to them.

The two-volume set LNCS 14975 + 14976 constitutes the proceedings of the First International Conference on Artificial Intelligence in Healthcare, AIiH 2024, which took place in Swansea, UK, in September 2024. The 47 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They were organized in the following topical sections: Part I: Personalised Healthcare and Medicine; AI driven early diagnosis and prevention; AI driven robotics for healthcare; AI in mental health; Part II: AI in proactive care and intervention; AI-aided medical imaging and analysis; Medical signal and image processing; Assisted living technology; Digital twinning, virtual pathology and oncology; Patient data, privacy and ethics.

This book is aimed at researchers specializing in the kinematics of robot mechanisms as well as at doctoral students in guiding their research work. A spectrum of the latest achievements in kinematics analysis, modelling, simulation, design and control is covered. New theories and methods are applied to serial, parallel and cable-driven mechanisms for use in industrial or service robotics. The systems range from being less than fully mobile to kinematically redundant and over-constrained. Forty-nine papers are included, arranged in seven chapters, as presented at the 19th Symposium on Advances in Robot Kinematics 2024. The symposium, which has been held since 1988, was organized this time in Ljubljana (Slovenia), where it began thirty-six years ago. The papers have been rigorously selected based on peer review and are arranged in chapters randomly, as is the prevailing tradition of these symposia. In doing so, we aim to give equal emphasis to each of these achievements.

The 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science

Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications.The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 thatwas held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts.Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.

This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management.In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligenceThe book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making.The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge.Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written.

Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.

Explore the transformative potential of the Internet of Things (IoT) within the unique context of Africa. This comprehensive work delves into the challenges, opportunities, and future trends of IoT, with a particular focus on Nigeria. Readers will discover a novel security framework and defense mechanisms tailored to address the specific needs and vulnerabilities of IoT systems in the African setting. Unlike traditional texts, this book provides a detailed case study approach, illustrating real-world applications and implications of IoT in Africa. It covers a wide range of topics, including the integration of IoT in agriculture, healthcare, and urban development, and highlights both technological advancements and socio-economic impacts. Intended for researchers, practitioners, policymakers, and students, this book offers valuable insights and practical solutions. It serves as an essential resource for anyone looking to understand the dynamic landscape of IoT in Africa and leverage its potential for sustainable development. Key uses of this book include guiding the implementation of IoT projects in developing regions, informing policy formulation, and fostering innovation in IoT security. By addressing the unique challenges faced in Africa, this work stands out as a pivotal reference for advancing IoT technology in similar environments globally.

This book features research papers presented at the 2nd International Conference on Innovations in Data Analytics (ICIDA 2023), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 29 – 30 November 2023. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry.

This groundbreaking book goes beyond conventional approaches and explores how AI is revolutionizing the field of wastewater treatment, offering innovative solutions to pressing challenges.'The AI Cleanse'takes you on a captivating journey through the convergence of AI and wastewater treatment, revealing the potential for enhanced efficiency, effectiveness, and sustainability. From optimizing treatment processes to intelligent monitoring and fault detection, this book showcases how AI-driven technologies can reshape the way we approach wastewater treatment.Gain a comprehensive understanding of the basics of wastewater treatment and the limitations of traditional methods. Explore the practical applications of AI, such as data acquisition and analysis, process optimization, and resource recovery. Learn about cutting-edge technologies, emerging trends, and future directions in the field.Written in a reader-friendly style,'The AI Cleanse'bridges the gap between theoretical knowledge and practical implementation. Packed with real-world examples, case studies, and insights from experts in the field, this book equips researchers, professionals, and students with the knowledge needed to harness the full potential of AI in wastewater treatment.If you are passionate about environmental preservation, sustainable practices, and the power of technology,'The AI Cleanse'is your guide to unlocking the transformative potential of artificial intelligence in wastewater treatment. Embrace a cleaner future and be at the forefront of this revolution in the field.

This book gathers the latest advances, innovations, and applications in the field of efficiency and performance engineering, as presented by leading international researchers and engineers at the TEPEN International Workshop on Fault Diagnostics and Prognostics (TEPEN-IWFDP), held in Qingdao, China on May 8–11, 2024. Topics include machine and structural health monitoring, non-destructive testing and fault detection, diagnostic and prognostic for both operational and manufacturing processes, maintenance optimization and asset management, smart metamaterials and metastructures, artificial intelligence, and machine learning. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Breast cancer is one of the most prevalent malignancies worldwide, particularly in females, with a high rate of cancer-related deaths globally. Increasing age, obesity, harmful use of alcohol, family history of breast cancer, starting age of menstrual periods, and tobacco use are some of the risk factors for breast cancer. The fifth volume of the “Interdisciplinary Cancer Research” series, entitled “Breast Cancer Pathophysiology: An Interdisciplinary Approach” publishes comprehensive volumes on the mechanisms of breast cancer, early detection, assessment, and patient outcome. The role of defective estrogen signals, membrane estrogen receptor, and dietary polyunsaturated fatty acids in breast cancer are also presented in this volume. This interdisciplinary series is of special value to researchers working on cell biology, immunology, biochemistry, genetics, and practitioners working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value to researchers, oncologists, and oncosurgeons who wish to extend their knowledge on breast cancer.

This book provides an insight into 12th International Conference on Soft Computing for Problem Solving (SocProS 2023), organized by The Department of Applied Mathematics and Scientific Computing, Saharanpur Campus of Indian Institute of Technology, Roorkee, India, in conjunction with Continuing Education Center during 11–13 August 2023. This book presents the latest achievements and innovations in the interdisciplinary areas of soft computing, machine learning, and data science. It covers original research papers in the areas of algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and health care, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.