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

eCARE for Healthy Ageing

1st Edition
August 1, 2025
Luis Figueredo + 3 more
English

"eCARE for Healthy Ageing: Enhanced Caregiving through AI and Robotics Enablers for Healthy Ageing" serves as as a practical guide for researchers, providing a holistic perspective on activities of daily living (ADLs), health monitoring, and social interaction in the context of caregiving for older adults. In the first part, "Real-world Care Tasks and Requirements," the book addresses practical applications, aiming to guide future research based on end-users and establish the foundation for assistive technologies. The second part focuses on challenges in caregiving from a robotics and AI perspective, covering topics like environment interaction, navigation, manipulation, and learning new tasks. The third part extends the discussion to ADLs involving physical contact, such as dressing and feeding. It explores perception, health monitoring, physical collaboration, and interaction, addressing technological challenges and opportunities. The fourth part delves into the cognitive aspects of human-robot interaction, exploring social interaction with older adults. The final part integrates insights from large studies and successful cases, connecting them to the earlier discussions. It highlights limitations, ethical considerations, and individual needs/dilemmas in achieving a holistic robotics and AI solution for Geriatronics.

Mastering Prompt Engineering

1st Edition
August 1, 2025
Anand Nayyar + 2 more
English
Paperback
9 7 8 0 4 4 3 3 3 9 0 4 2
eBook
9 7 8 0 4 4 3 3 3 9 0 5 9

Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.

Feature Extraction and Image Processing for Computer Vision

5th Edition
August 1, 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.

Quantum Health AI

1st Edition
July 25, 2025
Dominique J Monlezun
English
Paperback
9 7 8 0 4 4 3 3 3 3 5 3 8
eBook
9 7 8 0 4 4 3 3 3 3 5 4 5

Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health is the first comprehensive book defining the transformation of the global health ecosystem by the fusion of our most powerful technologies—quantum computing and artificial intelligence—while defending an actionable human-centred approach to doing so responsibly, equitably, and sustainably. We can continue to watch wars, diseases, poverty, polarization, cyber-crime, and climate change only worsen. Our strongest technologies can remain centralized in a small number of companies and countries for their profit and power. Or we can cooperatively put quantum AI to work for the health of all of us, by better managing this technology’s overarching strategic competition between democracies and autocracies, along with the public and private sectors (balancing human security with national security, economic growth with household livelihoods, individual rights with the common good). This book draws on the decade plus of original research and first-hand perspective of the world’s first triple doctorate-trained physician-data scientist and AI ethicist. It unpacks the history, science, values, and political economics framing and driving quantum AI (including its physics, metaphysics, ethics, governance, computing, sensing, communication, materials, and security), the global health ecosystem (healthcare systems, public health agencies, biotechnology companies, and development institutions), and their growing integration, wins, and challenges. This one-stop book provides a global, inclusive, and practical guide for understanding and shaping these societal and technological trends. It thus empowers health, technology, and policy students, practitioners, professionals, researchers, and leaders in organizations, universities, companies, and governments—ultimate... to make and maintain the human-centred quantum AI safeguarding and advancing humanity’s health, home, and future.

Quaternion-Based Sparse Image Processing

1st Edition
July 9, 2025
Satya Prakash Yadav + 4 more
English
Paperback
9 7 8 0 4 4 3 2 9 2 4 4 6
eBook
9 7 8 0 4 4 3 2 9 2 4 5 3

Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

Tactile Robotics

1st Edition
July 1, 2025
Qiang Li
English
Paperback
9 7 8 0 4 4 3 2 1 9 1 3 9
eBook
9 7 8 0 4 4 3 2 1 9 1 4 6

Tactile Robotics structures and unifies the information processing of tactile data—not only for extracting object property but also for controller computation. This book systematically introduces tactile sensors, perception, and control, providing readers with no prior background with a better sense and knowledge of robotics and machine learning and helping users understand the concept of tactile robots and their various applications for use in real-world scenarios.

Quantum Computing

1st Edition
July 1, 2025
Rajkumar Buyya + 1 more
English
Paperback
9 7 8 0 4 4 3 2 9 0 9 6 1
eBook
9 7 8 0 4 4 3 2 9 0 9 7 8

Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers.This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

Deep Learning Assessment of Neurological Imaging

1st Edition
July 1, 2025
Tripti Goel + 3 more
English

"Deep Learning Assessment of Neurological Imaging" provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. It also provides a comprehensive account of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and a discussion on current research issues and future objectives. The book is a valuable resource to guide new entrants in the field to make a meaningful impact in their development efforts. The book concludes with a brief overview of the problems discussed and potential future advancements in the field.

Up and Running with AutoCAD 2026

1st Edition
July 1, 2025
Robert C. Kaebisch
English
Paperback
9 7 8 0 4 4 3 3 6 5 9 3 5
eBook
9 7 8 0 4 4 3 3 6 5 9 4 2

Up and Running with AutoCAD 2026: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instructions, examples, and insightful explanations. The book emphasizes core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.

Bi-directionality in Human-AI Collaborative Systems

1st Edition
July 1, 2025
William Lawless + 3 more
English
Paperback
9 7 8 0 4 4 3 4 0 5 5 3 2
eBook
9 7 8 0 4 4 3 4 0 5 5 4 9

Bi-directionality in Human-AI Collaborative Systems investigates the foundations, metrics, and applications of human-machine systems, along with the legal ramifications of autonomy, including standards, trust by the public, and bidirectional trust by users and AI systems. The book addresses the challenges in creating synergistic human and AI-based autonomous system-of-systems by focusing on the underlying challenges associated with bi-directionality. Chapters cover advances in LLMs, logic, machine learning choices, the development of standards, as well as human-centered approaches to autonomous human-machine teams. This is a valuable resource for world-class researchers and engineers who are theorizing on, designing, and developing autonomous systems.It will also be useful for government scientists, business leaders, social scientists, philosophers, regulators and legal experts interested in the impact of autonomous human-machine teams and systems.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

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Hardware and architecture

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Software

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Life Sciences

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Health