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

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.

Mathematical Modeling for Big Data Analytics

1st Edition
August 1, 2025
Passent El-Kafrawy + 1 more
English
Paperback
9 7 8 0 4 4 3 2 6 7 3 5 2
eBook
9 7 8 0 4 4 3 2 6 7 3 6 9

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques.This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Advanced Intelligence Methods for Data Science and Optimization

1st Edition
August 1, 2025
Amir Hossein Gandomi + 2 more
English
Paperback
9 7 8 0 4 4 3 2 8 9 4 0 8
eBook
9 7 8 0 4 4 3 2 8 9 4 1 5

Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

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 AI, presenting the most recent advances in deep learning and integration of neuro-symbolic (NS) systems and Large Language Models (LLMs). The book evaluates traditional approaches, current approaches, and the author’s own approach to NS in order to create hybrid architectures and reasoning techniques to overcome limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.This book will be a welcomed resource for researchers and graduate students in artificial intelligence, natural language processing, and biomedical informatics, as well as professionals in software development who are looking to redesign current systems to leverage LLM through the health application of neuro-symbolic architecture.

Intelligent and Soft Computing

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

Intelligent and Soft Computing: Techniques and Applications illustrates the synergistic effect of cutting-edge developments in all areas of both fields to build intelligent software systems to solve a multitude of problems. The book offers an introduction to artificial intelligence as well as fuzzy logic concepts, systems, and methods. Additional sections focus on AI tools and applications, search and data mining, reasoning and evolution, as well as nature-inspired computing techniques. Applications and case studies are included in all chapters, making this an ideal resource for researchers, graduate students, and professionals working in these domains.Readers will find this to be a timely reference on current and future developments in this emerging domain for decision support, management, information technology, and business applications.

Decentralized Optimization in Networks

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

Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and solutions to decentralized optimization problems. The book demonstrates the application of decentralized optimization algorithms to enhance communication and computational efficiency, solve large-scale datasets, maintain privacy preservation, and address challenges in complex decentralized networks. The book covers key topics such as event-triggered communication, random link failures, zeroth-order gradients, variance-reduction, Polyak’s projection, stochastic gradient, random sleep, and differential privacy. It also includes simulations and practical examples to illustrate the algorithms' effectiveness and applicability in real-world scenarios.

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.

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