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

Cybersecurity Defensive Walls in Edge Computing

1st Edition
October 1, 2025
Agbotiname Lucky Imoize + 3 more
English
Paperback
9 7 8 0 4 4 3 3 4 1 0 9 0
eBook
9 7 8 0 4 4 3 3 4 1 1 0 6

Cybersecurity Defensive Walls in Edge Computing dives into the creation of robust cybersecurity defenses for increasingly vulnerable edge devices. This book examines the unique security challenges of edge environments, including limited resources and potentially untrusted networks, providing fundamental concepts for real-time vulnerability detection and mitigation through novel system architectures, experimental frameworks, and AI/ML techniques. Researchers and industry professionals working in cybersecurity, edge computing, cloud computing, defensive technologies, and threat intelligence will find this to be a valuable resource that illuminates critical aspects of edge-based security to advance theoretical analysis, system design, and practical implementation of defensive walls. With a focus on fast-growing edge application scenarios, this book offers valuable insights into strengthening real-time security for the proliferation of interconnected edge devices.

IoT Security

1st Edition
October 1, 2025
SK Hafizul Islam + 3 more
English
Paperback
9 7 8 0 4 4 3 3 4 1 2 5 0
eBook
9 7 8 0 4 4 3 3 4 1 2 6 7

IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cyber security solutions. Diving into real-world case studies to provide insights into implementing efficient security measures that safeguard against online dangers, this book comprehensively analyzes the challenges and possibilities presented by intelligent technologies fueling transformational change, emphasizing the crucial role cybersecurity plays in defending networks, data, and user privacy in an increasingly interconnected digital ecosystem.Coverage includes cryptographic methods, communication networks, device identity and access, data governance and privacy, as well as regulatory frameworks and standards for IoT security. Computer science researchers and engineers will benefit from this compilation of cutting-edge research and practical case studies, learning how to minimize risks for IoT and intelligent technologies.

Feature Extraction and Image Processing for Computer Vision

5th Edition
September 22, 2025
Mark Nixon + 1 more
English
Paperback
9 7 8 0 4 4 3 3 6 6 8 6 4
eBook
9 7 8 0 4 4 3 3 6 6 8 7 1

Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare

1st Edition
September 17, 2025
Joseph Bamidele Awotunde + 3 more
English
Paperback
9 7 8 0 4 4 3 3 3 4 3 9 9
eBook
9 7 8 0 4 4 3 3 3 4 4 0 5

Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare explores the intersection of two transformative technologies, fog computing and the IoT, shedding light on how they are revolutionizing healthcare. The book serves as an essential guide for researchers and graduate students, explaining the underlying concepts, operational benefits, and potential challenges of these technologies. By delving into how fog computing enhances real-time data processing, the book's authors provide invaluable insights into the practical applications of these advancements in the healthcare industry.Additionall... together with its companion book, Advances in Fog computing and the Internet of Things for Smart Healthcare, the series provides a comprehensive understanding of how these technologies are enabling more efficient, personalized, and accessible healthcare services. By facilitating smart applications and services across various industries, fog computing optimizes performance, latency, privacy, and overall system efficiency, ultimately contributing to the development of more effective and responsive IoT ecosystems.

Metaverse in the Healthcare Industry

1st Edition
September 10, 2025
Hemachandran Kannan + 4 more
English
Paperback
9 7 8 0 4 4 3 3 0 1 8 2 7
eBook
9 7 8 0 4 4 3 3 0 1 8 3 4

Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques explores the intersection of rapidly evolving metaverse technology and its implications for the healthcare sector. The book provides a comprehensive overview of virtual and augmented reality, artificial intelligence, and other immersive technologies that have gained significant attention within the context of the metaverse in healthcare. It emphasizes how these technologies can revolutionize healthcare by enabling virtual clinics, patient education, remote medical training, therapeutic interventions, and much more. By bringing together diverse perspectives, it contributes to the ongoing discourse on the future of healthcare delivery and innovation.This book also delves into technical aspects of metaverse development and its integration with existing healthcare systems. It discusses ethical considerations and challenges associated with implementing metaverse technologies in healthcare settings. Additionally, it highlights the potential to reshape the healthcare landscape by fostering innovation, improving patient care, and revolutionizing medical training and research. Readers will gain insights into applications, tools, and techniques for leveraging the metaverse to create more effective and accessible healthcare solutions.

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.

Artificial Intelligence

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 offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage for readers to understand the critical importance of robust defenses in this era of digital and algorithmic reliance. In addition to contextualizing the historical trajectory of AI security, the book examines foundational elements of machine learning, emphasizing the mechanisms that contribute to, or mitigate, risks.Readers are guided through case studies of real-world attacks, illustrating the practical implications of security weaknesses, while proposed defense strategies provide actionable insights for strengthening AI systems.

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 delves into the innovative convergence of mathematical frameworks and biomedical engineering. The book begins by exploring how advanced mathematical modelling underpins the development and optimization of robotic systems and wearable technologies tailored for medical applications. With a strong emphasis on practical implementation, it serves as a bridge between theoretical concepts and real-world engineering challenges in the healthcare sector. Readers will gain insights into the transformative role of mathematical techniques that drive precision, functionality, and human-centric design in cutting-edge medical technologies.The book also covers interdisciplinary applications, integrating domains like biomechanics, sensor technology, and data analytics. By highlighting case studies and real-world scenarios, it showcases practical advancements in wearable devices that monitor health metrics and robotic systems that assist in surgical procedures.

Healthcare Applications of Neuro-Symbolic Artificial Intelligence

1st Edition
August 29, 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.

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals

1st Edition
August 11, 2025
Tilottama Goswami + 2 more
English
Paperback
9 7 8 0 4 4 3 3 3 0 4 4 5
eBook
9 7 8 0 4 4 3 3 3 0 4 5 2

Data-Driven Insights and Analytics for Measurable Sustainable Development Goals discusses the growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues, one should be able to measure and analyze progress. This book bridges the gap between qualitative and quantitative assessments, recognizing that goals are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how SDGs intersect and influence each other.The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance and offering valuable insights into where we stand on these critical goals. Prescriptive analytics guides actions by offering actionable recommendations, while predictive analytics anticipates future trends and challenges, helping us navigate our path toward the SDGs effectively.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health