Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

Books Journals

Phytochemicals in Cancer Therapy and Beyond

1st Edition
September 1, 2025
Gautam Sethi + 2 more
English
Paperback
9 7 8 0 4 4 3 1 3 6 2 1 4
eBook
9 7 8 0 4 4 3 1 3 6 2 2 1

Phytochemicals in Cancer Therapy and Beyond explores the significant role of natural products in combating diseases, particularly cancer. The book emphasizes the mechanisms through which natural products operate in treatments, making it a comprehensive guide for understanding their therapeutic potential. Spanning 24 chapters, it delves into regular cancer treatments, challenges faced, and advancements in the field. Special focus is given to phytochemicals and their cellular mechanisms, molecular pathways in therapy, and innovative nano-scale delivery systems that enhance treatment efficacy.This book is an essential resource for oncology researchers, disease therapy experts, diabetes mellitus treatment professionals, cellular signaling scientists, and nanomaterial engineers, offering valuable insights into the clinical applications of phytochemical therapies.

Human-Machine interfaces in Medical Robotics

1st Edition
September 1, 2025
Yanpei Huang + 6 more
English
Paperback
9 7 8 0 4 4 3 1 3 7 2 3 5
eBook
9 7 8 0 4 4 3 1 3 7 2 4 2

Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

Artificial Intelligence Data and Model Safety

1st Edition
September 1, 2025
Yu-Gang Jiang + 2 more
English
Paperback
9 7 8 0 4 4 3 2 4 8 4 0 5
eBook
9 7 8 0 4 4 3 2 4 8 4 1 2

Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses begins with a brief review of the history of AI and AI security and then introduces the fundamental aspects of machine learning and AI security. Two key aspects are covered: data security and modelling. It provides detailed explanations of a wide range of attacks and defense algorithms related to data security, as well as adversarial attack/defense, backdoor attack/defense, and extraction attack/defense algorithms related to model security. By providing a systematic, comprehensive, and in-depth introduction to the topic, this book help readers understand the advanced attack and defense techniques in the field of AI security.

Applied Mathematical Modeling for Biomedical Robotics and Wearable Devices

1st Edition
September 1, 2025
S. Sountharrajan + 3 more
English
Paperback
9 7 8 0 4 4 3 3 3 5 1 4 3
eBook
9 7 8 0 4 4 3 3 3 5 1 5 0

Applied Mathematical Modelling for Biomedical Robotics and Wearable Devices offers readers a comprehensive and practical exploration of the integration of mathematical modelling in biomedical engineering. It presents the application of mathematical concepts, particularly in the design and optimization of biomedical robots and wearable healthcare devices. Through practical examples and case studies, the book illustrates the real-world application of mathematical models. Emphasizing healthcare engineering principles and latest trends like biomedical sensors, robots and wearable devices in healthcare, readers will understand how engineering contributes to improving medical practices, patient outcomes, and overall healthcare delivery. The book presents theoretical concepts and practical applications, providing insights into the challenges and solutions encountered in applying mathematical principles to biomedical engineering problems. It highlights the interdisciplinary collaboration required in the field, recognizing the collaborative nature of biomedical engineering that involves professionals from diverse fields.

Quantum Computational AI

1st Edition
August 5, 2025
Long Cheng + 2 more
English
Paperback
9 7 8 0 4 4 3 3 0 2 5 9 6
eBook
9 7 8 0 4 4 3 3 0 2 6 0 2

Quantum Computational AI: Algorithms, Systems, and Applications represents an emerging, fast evolving field. The rapid advancements in both quantum computing and AI necessitate a new resource that encapsulates the latest theories, algorithms, and practical applications at the intersection of these domains. Quantum Computational AI: Algorithms, Systems and Applications dives into the intersection of quantum computing and artificial intelligence, showcasing how they can come together to form powerful new computational frameworks. Through the lens of expert contributors, this book navigates through quantum algorithms, explores the design of quantum systems, and demonstrates real-world applications across various sectors. Designed to be both informative and accessible, this book is perfect for academics, researchers, industry professionals, and students keen to be on the forefront of quantum and AI technologies. With a blend of theory and practical examples, the book provides a solid understanding of how quantum principles can be leveraged to advance AI, opening doors to unprecedented possibilities. This book provides a consolidated, comprehensive, and accessible resource, which elucidates the synergy between quantum algorithms and AI systems, showcasing how they can be harmoniously integrated to unlock new computational paradigms and solve complex real-world problems.

Federated Learning in Metaverse Healthcare

1st Edition
August 4, 2025
Shubham Mahajan + 1 more
English
Paperback
9 7 8 0 4 4 3 3 3 7 8 9 5
eBook
9 7 8 0 4 4 3 3 3 7 9 0 1

Federated Learning in Metaverse Healthcare: Personalized Medicine and Wellness explores the integration of the metaverse with healthcare, offering immersive experiences and personalized care. It introduces federated learning, highlighting its advantages over centralized machine learning in healthcare. The historical context and technological advancements that have led to the emergence of metaverse healthcare are explored, along with privacy-preserving methods crucial for protecting sensitive healthcare data in federated learning environments. The transformation of healthcare delivery through virtual environments, remote consultations, and immersive experiences is discussed, as well as the role of telemedicine in facilitating remote diagnostics and consultations through virtual platforms. The applications of augmented reality wearables in real-time health monitoring and wellness tracking are explored. The architecture and components of federated learning systems within metaverse healthcare environments are detailed, emphasizing the importance of secure communication protocols in safeguarding healthcare data. Federated learning's ability to deliver personalized treatment plans tailored to individual patient needs, as well as its role in predictive modeling for disease risks and prevention strategies, is examined. Virtual health coaches leveraging federated learning algorithms to provide personalized guidance and support for wellness management are also discussed. The challenges and ethical dilemmas inherent in metaverse healthcare and federated learning are considered, along with potential solutions. Finally, the future of metaverse healthcare and federated learning is speculated, highlighting emerging trends and areas for further research and development.

Motion Control of Soft Robots

1st Edition
August 1, 2025
Wenyu Liang + 3 more
English
Paperback
9 7 8 0 4 4 3 1 4 0 1 8 1
eBook
9 7 8 0 4 4 3 1 4 0 1 9 8

Motion Control of Soft Robots provides an overview of the general concepts and most recent technological updates in soft robot motion control. The book provides systematic coverage of theoretical and practical aspects in system modeling and motion control strategies, presenting novel ideas, methods, and future outlook related to motion control of soft actuators and robots, including model-based control, model-free control, and bioinspired control. This book is useful for researchers, engineers, and students of robotics who can expect to learn how to design and implement various techniques to obtain solutions to control problems in soft robot control and nonlinear system control.

Edge Intelligence in Cyber-Physical Systems

1st Edition
August 1, 2025
Wei Yu
English
Paperback
9 7 8 0 4 4 3 2 6 5 7 2 3
eBook
9 7 8 0 4 4 3 2 6 5 7 3 0

Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.

Edge Artificial Intelligence

1st Edition
August 1, 2025
Parikshit Narendra Mahalle + 3 more
English
Paperback
9 7 8 0 4 4 3 2 6 7 2 0 8
eBook
9 7 8 0 4 4 3 2 6 7 2 1 5

Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the essentials of Edge AI and machine learning. It delves into the architecture, algorithms, and applications of Edge AI, offering insights into regulation and governance. Real-world case studies and practical examples are included, providing readers with the knowledge and tools to harness the transformative power of Edge AI. This book also addresses the ethical considerations and regulatory aspects of deploying AI at the edge.In addition to offering a clear understanding of real-time decision-making, enhanced privacy, and efficient applications, this book empowers both technical and nontechnical readers by providing practical insights, case studies, and ethical considerations. It helps users implement and govern Edge AI in a responsible and effective manner.

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

1st Edition
August 1, 2025
Boris Galitsky
English
Paperback
9 7 8 0 4 4 3 3 0 0 4 6 2
eBook
9 7 8 0 4 4 3 3 0 0 4 7 9

Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author’s own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.

Related subjects

Applications

Artificial intelligence

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Computer systems organization

Computer vision and pattern recognition

Computing milieux

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