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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.

BooksJournals

    • Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices

      • 1st Edition
      • Volume 141
      • March 1, 2026
      • English
      • Hardback
        9 7 8 0 4 4 3 2 2 4 0 1 0
      • eBook
        9 7 8 0 4 4 3 2 2 4 0 2 7
      Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advances in Computers series, explores the convergence of artificial intelligence, machine learning, and modern software engineering practices. Chapters in this new release include Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm, Articulating Machine and Deep Learning Models for Next-Generation Software Development, Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering, Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development, and more.Other sections cover Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development, Demystifying the Agentic AI Paradigm for Accelerated Software Engineering, Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation, Generative AI Tools for Accelerated Software Engineering, Empowering Software Engineering Automation through Explainable AI, and much more.

    • Harnessing Artificial Intelligence to Ensure Diverse Global Teams

      • 1st Edition
      • March 1, 2026
      • Harish Garg + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 3 5 9
      • eBook
        9 7 8 0 4 4 3 3 4 1 3 6 6
      Harnessing Artificial Intelligence to Ensure Diverse Global Teams explores new research and applications of AI which can be used to address the distinct challenges of diverse, distributed teams. Incorporating compelling case studies and strategic guidance, the book demonstrates how AI can be developed and applied within systems and programs to promote inclusion, break down barriers, and enhance collaboration in cross-cultural organizational settings. Providing case studies and examples, this book equips computer scientists and engineers with actionable strategies for integrating AI seamlessly into programs and applications designed for diverse global teams. With contributions from experts in AI and team dynamics, this book will benefit leaders and team members seeking to leverage AI for improved teamwork across geographical and cultural boundaries, providing an up-to-date resource for uniting, uplifting, and optimizing global collaborations through inclusive artificial intelligence.

    • Computational Intelligence in Surveillance Systems Using Image Processing

      • 1st Edition
      • March 1, 2026
      • Jay Kumar Pandey + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 0 8 2
      • eBook
        9 7 8 0 4 4 3 3 6 4 0 9 9
      Traditional surveillance systems struggle to process large volumes of visual data, identify specific objects or behaviors, and adapt to dynamic environments. Computational intelligence, which encompasses techniques like artificial intelligence (AI), machine learning (ML), and computer vision, offers powerful tools to address these challenges by enabling automated analysis, pattern recognition, and decision-making based on visual data. Computational Intelligence in Surveillance Systems Using Image Processing addresses the unique challenges and ethical considerations of applying AI and ML, offering a nuanced understanding of the regulatory landscape. It provides insights into the responsible development and deployment of technologies to unlock the transformative potential of computational intelligence to revolutionize surveillance systems and advance the capabilities of security and monitoring across various sectors.

    • Quantum Cryptography and Annealing for Securing Industrial IoT

      • 1st Edition
      • March 1, 2026
      • Seifedine Kadry + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 3 4 9 6
      • eBook
        9 7 8 0 4 4 3 3 8 3 5 0 2
      Quantum Cryptography and Annealing for Securing Industrial IoT explores cutting-edge quantum security strategies designed to protect Industrial Internet of Things (IIoT) platforms. Focusing on the convergence between quantum and post-quantum cryptography, the book delves into practical implementations that safeguard IIoT devices and strengthen infrastructure. With the proliferation of interconnected systems in modern industry, the need for robust security has never been more urgent. The authors emphasize real-world applications, offering readers actionable insights into how quantum cryptosystems are integrated within IIoT environments to counter emerging threats, particularly those posed by quantum computing advancements.Beyond its focus on practical solutions, the book provides a thorough analysis of IIoT hardware resilience, addressing vulnerabilities to physical and side-channel attacks. It evaluates the performance of quantum cryptosystems and discusses how interdisciplinary teams collaborate to engineer secure IIoT systems. Balancing theory with application, the authors highlight challenges faced in implementing quantum cryptographic principles and present innovative approaches to overcome them.

    • Connected Diagnoses

      • 1st Edition
      • March 1, 2026
      • Keshav Kaushik + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 2 9 9 4
      • eBook
        9 7 8 0 4 4 3 3 8 3 0 0 7
      Connected Diagnoses: IoT, Healthcare, and Digital Forensics offers a detailed examination of the dynamic relationships among Internet of Things (IoT) technology, healthcare practices, and digital forensics. By exploring how these fields intersect, the book underscores the transformative impact of connected devices on patient care, data security, and investigative processes. Readers will gain a deeper understanding of the ethical dilemmas and cybersecurity challenges that arise as medical technology becomes increasingly integrated with digital networks. Through expert insights and real-world examples, the book provides practical strategies for navigating this evolving landscape and improving outcomes in both medical and forensic settings.Beyond its emphasis on cybersecurity and ethics, the book discusses legal implications, regulatory frameworks, and emerging trends in the deployment of IoT within healthcare environments. It delivers guidance on best practices for data management and forensic evidence collection, helping professionals stay ahead in a rapidly changing technological landscape.

    • Mastering Cloud Computing

      • 2nd Edition
      • March 1, 2026
      • Rajkumar Buyya + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 4 3 5 1
      • eBook
        9 7 8 0 4 4 3 4 0 4 3 6 8
      Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring developers with the essential tools and knowledge to create effective cloud-based applications. Beyond the foundational principles, the book delves into distributed and parallel computing, providing in-depth coverage of virtualization, thread programming, task programming, and map-reduce techniques.It also addresses the development of applications for various cloud architectures, highlighting industrial platforms and critical security considerations. To reinforce learning, the text integrates real-world case studies, practical examples, hands-on exercises, and lab activities throughout, allowing readers to apply concepts directly and build their expertise effectively.

    • AI and Data Science in Medical Research

      • 1st Edition
      • March 1, 2026
      • Olfa Boubaker
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 6 3 8 5
      • eBook
        9 7 8 0 4 4 3 2 7 6 3 9 2
      AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

    • Signal Processing Roadmap

      • 1st Edition
      • March 1, 2026
      • Pushan Kumar Dutta + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 1 7 2 5
      • eBook
        9 7 8 0 4 4 3 3 3 1 7 3 2
      Signal Processing Roadmap: Technologies, Applications, and Future Directions presents a comprehensive exploration of innovative and advanced signal processing techniques, catering to the needs of engineers, researchers, and technologists. The book offers critical evaluations of the latest methods that drive intelligent and reliable measurement and monitoring solutions across diverse applications. Backed by practical examples, it demonstrates the real-world impact of signal processing in areas such as the Internet of Things, biomedical devices, and more. Through its forward-looking approach, the book aims to consolidate current advancements while pointing toward future opportunities and challenges in the field.In addition to covering uncertainty modeling and key signal processing considerations, the book delves into the latest developments in hybrid information system modeling, emphasizing its practical uses in fields like finance, healthcare, and engineering. Readers will find detailed case studies that illustrate how these models address complex, real-world problems. The text also thoroughly reviews foundational theories related to non-linear optimization, fuzzy sets, and rough sets.

    • Smart City Computational Paradigms

      • 1st Edition
      • March 1, 2026
      • Mohit Kumar + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 7 2 6 9
      • eBook
        9 7 8 0 4 4 3 2 7 7 2 7 6
      The smart city paradigm combines smart homes, smart healthcare, smart transportation, smart industry, smart environment, and smart energy to ensure sustainability, well-being and comfortable living within the urban environment for the city's citizens. IoT enables computational intelligence to leverage the power of data analytics, machine learning, and artificial intelligence to extract meaningful insights from the vast amount of data generated by IoT devices. This synergy empowers connected devices to collect, process, and analyze data in real-time, enabling informed decision-making and predictive insights. Through adaptive algorithms and edge computing, the system can autonomously respond to changing conditions, optimize resource usage, and enhance energy efficiency. Security and anomaly detection mechanisms ensure the integrity of the IoT network, while human-machine interaction capabilities, facilitated by natural language processing, enable intuitive communication. This convergence of computational intelligence and IoT not only transforms data into actionable knowledge but also fosters the development of autonomous, efficient, and adaptive systems across diverse domains, ranging from smart cities to healthcare and industrial applications. The integration of computational intelligence with IoT enhances the capabilities of connected systems, making them smarter, more efficient, and better equipped to handle the complexities of the modern world. Smart City Computational Paradigms describes the connections between these state-of-the-art technologies and provides a comprehensive overview for readers interested in advanced technologies, identifying mentioned challenges and proposed solutions as well as developed framework. It covers the underlying theory, design techniques, classification, taxonomy and analytical tools, focusing primarily on the real time applications, uncertainty solutions and approaches with hands-on demonstration for decision making outcomes.

    • MetaConstructs

      • 1st Edition
      • March 1, 2026
      • Chiranji Lal Chowdhary + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 6 7 8 2
      • eBook
        9 7 8 0 4 4 3 4 0 6 7 9 9
      Digital twins integrate IoT, artificial intelligence, machine learning, and analytics with a graphic and/or spatial representation to make animate digital simulation models that can change and develop as their physical counterpart does. A digital twin learns and updates itself continuously using real-time data from sensors on the physical asset to represent operating, environmental, and working conditions in near real-time.The metaverse technology represents a comprehensive virtual world, where everything and everyone interacts similarly to what we would do in the real world. The concept of metaverse has gained a lot of prominence after several cryptocurrency networks adopted the technology. With the metaverse technology, a virtual reality becomes a persistent virtual environment that exists even when you are not engaging with it.The digital twin in IoT (Internet of things) and the metaverse are the next big step in our technological evolution as these two technologies continue to shorten the gap between the human and the digital world. MetaConstructs: The Evolution of Digital Twins in the Metaverse Era provides information on emerging fields of next-generation digital twins with a special emphasis on emerging developments and applications of the metaverse, IoT, artificial intelligence, deep learning techniques, virtual reality, augmented reality, internet of medical things (IoMT), optimization techniques, decision making, and cloud computing.The book provides a conceptual framework and roadmap for decision-makers for this transformation. It can be useful for undergraduate and postgraduate students who have studied artificial intelligence, federated learning, ML/DL, computational intelligence, IoT, cloud computing, and genetic algorithms in their academic curriculum. This book will be useful for students to develop and deploy their skills to achieve a thorough knowledge of analytics and in-depth education experience to focus on their unique interests. Acknowledging the huge demands of professionals in the industry today, this book has been designed to create trained Computer Science graduates to fulfil the requirements of the industry.

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