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

Advances in Image Processing, Reliability, and Artificial Intelligence

1st Edition
November 16, 2025
Mario J. Divan + 4 more
English
Paperback
9 7 8 0 4 4 3 3 4 2 6 6 0
eBook
9 7 8 0 4 4 3 3 4 2 6 7 7

Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.

Green Flexible Electronics for Sustainable Healthcare

1st Edition
November 14, 2025
Anitha Velu + 4 more
English
Paperback
9 7 8 0 4 4 3 2 7 5 5 4 8
eBook
9 7 8 0 4 4 3 2 7 5 5 5 5

Flexible electronics, or flex circuits, involve the construction of electrical circuits using flexible plastic substrates, such as polyimide, PEEK, or transparent conductive polyester sheets. Flexible electronic assemblies are made using a variety of manufacturing techniques, including printing, laminating, and deposition, which enables the circuit board to bend or take on a desired shape. They allow the user to create extremely flexible, light-weight, and thin electronic components such as batteries, screens, and sensors. Green Flexible Electronics for Sustainable Healthcare discusses incorporating flexible and printed electronics in the field of sustainable healthcare. It details how to utilise natural materials in the design, fabrication and application of flexible electronic-based wearables and sensors. It also offers a detailed analysis of the effects and challenges of integrating flexible electronics within the healthcare ecosystem. Green Flexible Electronics for Sustainable Healthcare considers the implications of the advances in flexible electronics with regards data privacy, security and scalability.

Embedded Systems Architecture

3rd Edition
November 3, 2025
Tammy Noergaard
English
Paperback
9 7 8 0 4 4 3 2 7 3 3 8 4
eBook
9 7 8 0 4 4 3 2 7 3 3 9 1

Embedded Systems Architecture: A Comprehensive Guide for Engineers and Programmers, Third Edition is a practical and technical guide for understanding the components that make up an embedded system’s architecture. This book is perfect for those starting out as technical professionals such as engineers, programmers, and designers of embedded systems but is also great for students of computer science, computer engineering, and electrical engineering. Users will find a much-needed ‘big picture’ for recently graduated engineers grappling with understanding the design of real-world systems. In addition, the book provides professionals with a systems-level picture of the key elements that can go into embedded design.

Modeling, Dynamics and Control approaches for Modern Robotics

1st Edition
November 3, 2025
Ahmad Taher Azar + 1 more
English
Paperback
9 7 8 0 4 4 3 3 0 1 0 6 3
eBook
9 7 8 0 4 4 3 3 0 1 0 7 0

Modeling, Dynamics and Control approaches for Modern Robotics explores and investigates various theoretical and practical principles related to modeling, dynamics, and control in robotics. The objective is to enhance the understanding and development of robotic systems by applying these principles. Through accurate representations of robot kinematics and dynamics, researchers aim to effectively analyze and predict robot behavior. This title focuses on designing algorithms and control strategies for precise and efficient robotic system management.Additiona... the book delves into sensory feedback and perception systems for robots, advancements in autonomous vehicles, industrial automation, humanoid robots, and medical robotics, showcasing the integration of technology and computing power in modern applications. The study of control approaches and the development of optimized performance schemes are highlighted, demonstrating the significance of stability and adaptive response in changing environments. This comprehensive examination underscores the evolution and complexity of robotic systems, emphasizing their growing role in various sectors.

Human-Machine interfaces in Medical Robotics

1st Edition
November 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.

Video Health Monitoring in Hospitals

1st Edition
November 1, 2025
Wenjin Wang + 3 more
English
Paperback
9 7 8 0 4 4 3 2 6 5 8 6 0
eBook
9 7 8 0 4 4 3 2 6 5 8 7 7

Video Health Monitoring in Hospitals discusses the emergence of camera-based, contactless physiological measurement as a groundbreaking solution in healthcare monitoring. The book highlights the technology's non-invasiveness, capacity for continuous and long-term monitoring, and its ability to capture not only vital signs but also contextual information and behaviors. A unique aspect of this book is its rich set of compelling healthcare applications that will attract broader audiences (including researchers, engineers, clinicians, and students) from multidisciplinary fields.Finally, the book discusses the role of artificial intelligence in enhancing healthcare applications and aims to engage the healthcare industry in adopting this innovative approach to improve patient care and outcomes.

Mathematical Modeling for Big Data Analytics

1st Edition
November 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.

Multimodal Learning Using Heterogeneous Data

1st Edition
November 1, 2025
Saeid Eslamian + 3 more
English
Paperback
9 7 8 0 4 4 3 2 7 5 2 8 9
eBook
9 7 8 0 4 4 3 2 7 5 2 9 6

Multimodal Learning Using Heterogeneous Data is a comprehensive guide to the emerging field of multimodal learning, which focuses on integrating diverse data types such as text, images, and audio within a unified framework. The book delves into the challenges and opportunities presented by multimodal data and offers insights into the foundations, techniques, and applications of this interdisciplinary approach. It is intended for researchers and practitioners interested in learning more about multimodal learning and is a valuable resource for those working on projects involving data analysis from multiple modalities.The book begins with a comprehensive introduction, focusing on multimodal learning's foundational principles and the intricacies of heterogeneous data. It then delves into feature extraction, fusion techniques, and deep learning architectures tailored for multimodal data. It also covers transfer learning, pre-processing challenges, and cross-modal information retrieval. The book highlights the application of multimodal learning in specialized contexts such as sentiment analysis, data generation, medical imaging, and ethical considerations. Real-world case studies are woven into the narrative, illuminating the applications of multimodal learning in diverse domains such as natural language processing, multimedia content analysis, autonomous systems, and cognitive computing. The book concludes with an insightful exploration of multimodal data analytics across social media, surveillance, user behavior, and a forward-looking examination of future trends and practical implementations. As a collective resource, Multimodal Learning Using Heterogeneous Data illuminates the powerful utility of multimodal learning to elevate machine learning tasks while also highlighting the need for innovative solutions and methodologies. The book acknowledges the challenges associated with deep learning and the growing importance of ethical considerations in the collection and analysis of multimodal data.Overall, Multimodal Learning Using Heterogeneous Data provides an expansive panorama of this rapidly evolving field, its potential for future research and application, and its vital role in shaping machine learning's evolution.

Theoretical Foundations of Quantum Computing

1st Edition
November 1, 2025
Daowen Qiu
English
Paperback
9 7 8 0 4 4 3 2 7 7 0 4 7
eBook
9 7 8 0 4 4 3 2 7 7 0 5 4

Theoretical Foundations of Quantum Computing is an essential textbook for introductory courses in the quantum computing discipline. Quantum computing represents a paradigm shift in understanding computation. This textbook delves into the principles of quantum mechanics that underpin this revolutionary technology, making it invaluable for undergraduate and graduate students in computer science and related fields. Structured into eight meticulously crafted chapters, it covers everything from the historical context of quantum computing to advanced theories and applications. The book includes core topics such as basic models, quantum algorithms, cryptography, communication protocols, complexity, and error correction codes.Each chapter builds upon the last, ensuring a robust understanding of foundational concepts and cutting-edge research. It serves as both a foundational resource for students and a comprehensive guide for researchers interested in quantum computing. Its clarity makes it an excellent reference for deepening understanding or engaging in advanced research.

Digital Transformation in Artificial Systems

1st Edition
November 1, 2025
Mirko Farina + 3 more
English
Paperback
9 7 8 0 4 4 3 3 2 9 6 4 7
eBook
9 7 8 0 4 4 3 3 2 9 6 5 4

Digital Transformation in Artificial Systems: Engineering Requirements and Political, Economic, and Philosophical Challenges is a groundbreaking work that scrutinizes the engineering necessities, political ramifications, and ethical dilemmas associated with the digital transformation, particularly within Artificial Systems. This transformative concept, which involves leveraging technological advancements to redefine operations and processes, is explored through an interdisciplinary lens, incorporating insights from computer science, engineering, philosophy, economy, and sociology. The book advocates for an inclusive digital transformation that addresses the global digital divide and promotes cooperation in digitization, industrialization, and innovation.It emphasizes the importance of understanding ethical challenges and developing fair policies that enhance human flourishing, social harmony, and moral good. The interdisciplinary framework provided by the authors offers essential insights into the forthcoming AI revolution and its societal impact.

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