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

31-40 of 5367 results in All results

Introduction to Data Compression

6th Edition
May 1, 2026
Khalid Sayood
English

Introduction to Data Compression, Sixth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package.

Digital Outcasts

2nd Edition
April 1, 2026
Kel Smith
English

The blind person attempting to make an online purchase. The young girl who cannot speak due to a cognitive disability. The man confined to his home due to permanent injury. The single mother with a long-term illness who struggles to feed her family. The neurodivergent jobseeker trying to launch their career. Digital access to employment, education, healthcare, companionship and security are essential in today’s world. With one in six people worldwide currently living with some form of a disability, the term "outcast" covers a wide continuum of critical life impacts. As the number of people with disabilities increases, poorly designed products and services risk alienating this important and growing population. “Digital outcasts” is a term used to describe those left behind the technological curve, due either to a lack of accessibility or the social, economic, and political attributes often associated with disability. Through a grass roots approach to innovation, however, digital outcasts are taking action to transform their lives, homes, and communities. The legacy of human-computer interaction is scaffolded upon the efforts of the disenfranchised user, evinced by the role disability has historically played as a catalyst for design innovation. Citing real-world case studies spanning law, healthcare, creative arts, and social science, Digital Outcasts 2e examines the emergent cultural impact of inclusive design on today’s industrial landscape. Taking into account new legal and technological perspectives, this revision stands as an update on the progress we’ve made—and how far we’ve yet to go.

Designing User Interfaces for an Aging Population

2nd Edition
April 1, 2026
Jeff Johnson + 1 more
English

Despite the fact that older adults constitute an ever-growing proportion of the technology-using population, they have often been overlooked when researchers study the habits, abilities, and needs of various user groups. Similarly, many developers and researchers come up short when trying to create new technologies, devices, and interfaces that will satisfy a more general user profile. User study participants have tended to be younger, physically and cognitively fit, and technologically savvy. In Designing User Interfaces for an Aging Population, Second Edition, the authors present the demographics of older adults as a broad group, and describe general sensory, cognitive, physical, and emotional characteristics of older adults. Each age-related characteristic is linked to its potential impact on older adults’ use of digital technology, with examples of problematic technology designs. To improve the user satisfaction, success, and overall experience of using (digital) technology, the authors offer specific design guidelines. These guidelines have been derived from the findings and evidence presented in hundreds of research studies. The studies are sourced from around the world, and address a wide range of study participants and technologies. The second edition is thoroughly updated, including examples, guidelines, and case studies to reflect recent developments in the areas of AI, Robotics, Speech Recognition, and other relevant emerging technologies. Readers will benefit from learning: • demographics of users of digital technology • age-related factors affecting ability to use digital technology • common design issues that decrease usability for older adults • guidelines that can help designers avoid these common pitfalls • methods for working with older adults on research and design projects

The Governance of Artificial Intelligence

1st Edition
April 1, 2026
Tshilidzi Marwala
English

Artificial Intelligence governance is complicated by the fast pace of technological progress, the opaqueness of AI algorithms, worries about bias and impartiality, the requirement for accountability in AI-based decisions, and the global nature of AI development and deployment. The issue of AI governance is a developing one, and The Governance of AI is the first book that covers all the key topics in one book: AI values, Data, Algorithms, Computing, Applications, and Governance. The Governance of AI provides top-level guidance on all these topics from an engineering and governance perspective, while proposing a unifying framework for AI governance. An essential approach to AI governance is a proactive and comprehensive strategy that efficiently balances innovation and ethical concerns. The strategy presented in this book prioritizes social welfare and upholds human rights by maximizing the benefits of AI while reducing its negative aspects. In order to address these issues, it is essential to implement a versatile governance structure that incorporates several fields of study and encourages diversity. Additionally, utilizing existing regulatory frameworks, ethical standards, and industry benchmarks is essential. Moreover, it is crucial to integrate cooperation between governments, economic organizations, civil society, and the academic community under a multi-stakeholder framework to promote transparency, accountability, and public trust in AI systems. Furthermore, it is imperative to cultivate global cooperation in regulating AI because AI technology and its impacts extend beyond national boundaries. AI governance involves establishing worldwide norms and standards that encourage coordinating governance efforts while recognizing cultural and geographical differences. The Governance of AI is structured into six distinct sections and comprises 33 chapters. The first section comprises the chapters that address the principles that govern artificial AI. The second section has chapters that specifically address data-related topics. The AI algorithms are discussed in the third section. The fourth section has chapters that address the issue of computing. The fifth section has chapters that specifically address applications. The sixth section has chapters that address the topic of AI governance.

Principles of Medical Biohybrid Microrobots

1st Edition
March 1, 2026
Veronika Magdanz + 1 more
English

Advances in Image Processing, Reliability, and Artificial Intelligence

1st Edition
March 1, 2026
Mario J Divan + 4 more
English

Advances in Image Processing, Reliability, and Artificial Intelligence 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.

Adaptive AI in Sensor Informatics

1st Edition
March 1, 2026
Karthik Ramamurthy + 4 more
English

Adaptive AI in wireless sensor networks is crucial for ensuring user understanding and confidence in AI outputs across fields such as healthcare, environmental monitoring, smart cities, and industrial automation. It enables compliance with regulations specific to these domains and encourages the design of user-centric AI systems that align with human values and operational requirements. Adaptive AI in Sensor Informatics delves into the need for efficiency, interpretability, and reliability in Adaptive AI systems that are designed specifically for wireless sensor networks and related domains. It sheds light on how Adaptive AI can provide decisions made by AI models, facilitating effective collaboration between humans and AI within the context of wireless sensor networks. The book serves as a comprehensive guide for academics, professionals, and students interested in the intersection of adaptive AI and wireless sensor networks. It examines the challenges and opportunities inherent in deploying Adaptive AI in these contexts and offers practical insights into methods, approaches, and best practices for developing and deploying AI models that are both understandable and reliable within wireless sensor networks.

Audio Signal Processing

1st Edition
March 1, 2026
Sri Krishnan
English

Audio is a fundamental modality of data that has immense utility and need in human communication, digital transmission, pattern discovery, ecological understanding, healthcare, and many more. Advancements in sensor technology, signal processing, and machine learning have led to audio as an asset in many vertical applications. Audio Signal Analysis covers the basics of audio signal processing and analysis from sensing, acquisition, digitization, filtering, denoising, modelling, feature analysis, machine learning, and pattern recognition/decision making. It provides practical examples, illustrations, lab exercises, and mini projects to enhance the learning experience.

ARM Processors for Power Electronic Applications

1st Edition
February 2, 2026
P. Ponnambalam + 2 more
English

ARM Processors for Power Electronic Applications teaches the concept of controlling power converters using the ARM processor, from its fundamentals to implementation procedure, including using advanced controllers for energy management. The book discusses coding the ARM processor for different power converters and a variety of applications. It covers: • the step-by-step procedure in the design of advanced controllers • the ARM processor and parallel processing • creating driver circuits to interface the ARM processor with power circuits • the peripherals to ARM processors so it can used to control power converters • coding for power circuits.

IoT Security

1st Edition
February 1, 2026
SK Hafizul Islam + 3 more
English

IoT Security: Fundamentals and Key Enabling Technologies explores the complex interactions between Internet of Things (IoT) and the pressing need for effective cybersecurity 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.