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

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.

Exploring Infant Cry

1st Edition
November 1, 2025
Carlos Alberto Reyes Garcia + 3 more
English

Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together the most advanced medical and technical knowledge in the study of infant crying. This book includes medical, technical, and computational approaches to cry processing for classification and diagnostic purposes. The book is written by medical and technical experts in Infant Cry processing and is an important step forward for research dealing with the process and interpretation of crying from both medical and technical perspectives. The number of research groups dedicated to this area has been growing, and with more research emerging it will be possible to use crying analysis as a powerful non-intrusive diagnostic tool for a large number of pathologies from the time they begin to appear, as well as for determining the cause of the crying in such a way as to tell parents the various reasons why a baby is crying. Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives presents the advances of international groups of researchers where normal and pathological patterns of infant crying are studied, the possibilities of cry analysis for neonatal diagnosis, as well as perspectives on the development of this emerging field of research. The links of a baby’s first cries with the formation of language are addressed in the volume, as well as the communicative potential of the crying signal that makes this attribute a primary part of the vast and complex environment of human communication. Although the analysis of infant crying has received the attention of scientists and scholars of crying from diverse and varied approaches for more than 50 years, it continues to be an open topic with multiple unsolved or sufficiently investigated aspects, mainly in the area of routine applications to neonatal diagnosis.Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together for the first time the most advanced medical and technical knowledge on the study of crying babies. Considering on one hand the most important information as a diagnostic element, from the medical point of view, along with that provided by the technological field in order to automate acoustic processing, extraction of the most distinctive features, as well as recognition of outstanding patterns and their classification by type of pathology or cause of crying. These provide informative support tools for biomedical researchers, doctors, and clinicians. As a contribution to the technological support, a notable aspect of the book is the authors’ compilation of the most recent approaches to the classification of infant crying in correspondence with the important advances achieved in the field of signal processing, Artificial Intelligence, and soft computing. Readers of the book will find it to be an effective way to discover the foundations of the analysis of infant crying, as well as the various approaches and perspectives that have made it possible to advance the understanding of crying as an acoustic, neurophysiological, communicative, and linguistic phenomenon.

Computer Animation

4th Edition
October 20, 2025
Andrew Hogue + 1 more
English
Paperback
9 7 8 0 4 4 3 1 3 5 1 2 5
eBook
9 7 8 0 4 4 3 1 3 5 1 3 2

Computer Animation: Algorithms and Techniques, Fourth Edition surveys computer algorithms and programming techniques for specifying and generating motion for graphical objects, that is, computer animation. It is primarily concerned with three-dimensional (3D) computer animation. In this edition, the most current techniques are covered along with the theory and high-level computation that have earned the book a reputation as the best technically oriented animation resource. As in previous editions, the book addresses practical issues, provides accessible techniques, and offers straightforward implementations.

Internet of Things Security

1st Edition
October 20, 2025
Preeti Mishra + 4 more
English
Paperback
9 7 8 0 4 4 3 3 3 7 5 9 8
eBook
9 7 8 0 4 4 3 3 3 7 6 0 4

Internet of Things Security: Attacks, Tools, Techniques and Challenges delves into the essential aspects of safeguarding devices within the IoT ecosystem. This book provides a comprehensive overview of the IoT architecture, its vast applications, and the difficulties in securing such an expansive infrastructure. Readers gain insight into various security vulnerabilities present at each layer of IoT architecture, alongside viable security solutions. The book thoroughly examines distinct access control and authentication strategies, including intrusion detection systems (IDS), misuse detection, anomaly detection, DNS-based security solutions, and the implementation of artificial intelligence (AI) in cognitive IoT security.Additionall... the book explores microservice architecture for distributed IoT security and blockchain-based IoT security solutions.

Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction

1st Edition
October 20, 2025
Shubham Mahajan + 2 more
English
Paperback
9 7 8 0 4 4 3 4 1 6 6 0 6
eBook
9 7 8 0 4 4 3 4 1 6 6 1 3

Intelligent Systems for Neurocognition and Human-Robot-Computer Interaction explores the transformative potential of intelligent systems in enhancing human well-being through advancements in neurocognitive technologies, robotics, and AI-driven healthcare. This book addresses the fragmented knowledge at the intersection of these fields, enabling readers to understand the latest advancements and discover practical strategies for implementation. It highlights the importance of ethical considerations and governance in deploying AI and robotics in healthcare settings. Each chapter covers various aspects, including personalized medicine, human-robot interaction, cognitive robotics, wearable technologies, and the role of AI in mental health. The book also discusses the implications of cloud computing, big data, and human-computer interaction in enhancing cognitive and emotional well-being.

Full-Stack Web Development from the Ground Up

1st Edition
October 15, 2025
Christopher D Hundhausen
English
Paperback
9 7 8 0 3 2 3 9 1 8 8 4 8
eBook
9 7 8 0 3 2 3 9 1 9 5 4 8

Full-Stack Development from the Ground Up: Principles, Practices, and Technologies addresses the growing need for a comprehensive upper-division computer science textbook that provides in-depth treatment of full-stack web development using the modern web development technologies that students are likely to encounter in industry. Professional full-stack web developers who are capable of developing both the front-end user interfaces and back-end databases and services for dynamic websites are in high demand. The book begins by laying a foundation in HTML, CSS and JavaScript—the building blocks of client-side web development.It then explores one particular web development stack in detail: MERN, which stands for MongoDB, Express.js, React.js and Node.js. Together, these four technologies provide powerful support for full-stack web development in a single programming language—JavaScript. The crucial final step in the web development process is deploying apps to a server, so users can interact with them. This book simplifies deployment by focusing on just one web deployment environment: Amazon Web Services (AWS), and only those AWS tools that are absolutely necessary to deploy MERN applications.

Energy-Efficient Devices and Circuits for Neuromorphic Computing

1st Edition
October 6, 2025
Farooq Ahmad Khanday
English
Paperback
9 7 8 0 4 4 3 2 9 9 8 1 0
eBook
9 7 8 0 4 4 3 2 9 9 8 2 7

Energy-Efficient Devices and Circuits for Neuromorphic Computing is an important contribution to this field, covering topics from neuron dynamics to energy-efficient CMOS devices and circuits. The book delves into theoretical analysis of learning processes in spiking neural networks, two-terminal neuromorphic devices, material-engineered neuromorphic devices, and novel biomimetic Si devices. It offers insights into the latest developments in non-volatile memory crossbar arrays and emerging post-CMOS devices. Overall, it provides a comprehensive overview of energy-efficient neuromorphic computing architecture. This book is an essential resource for researchers, engineers, and students working in neuromorphic computing and energy-efficient electronics.

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