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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.

BooksJournals

  • Decision Systems

    Integrating Machine Learning, Fuzzy Logic, and Artificial Neural Networks
    • 1st Edition
    • Pallavi Vijay Chavan + 3 more
    • English
    Decision-making is a fundamental process that influences outcomes across a wide range of domains, including business, healthcare, scientific research, and automation. With the increasing availability of data and the growing computational power of modern systems, decision-making models have become more sophisticated and capable of providing highly accurate and efficient solutions. The ability to develop, analyze, and implement these models has become crucial for professionals and researchers working in fields that rely on data-driven decision-making.This book explores the evolution and significance of decision systems, covering both foundational theories and advanced methodologies. It introduces readers to the essential principles of decision-making models, illustrating their applications through practical case studies and real-world scenarios. The discussion begins with a focus on traditional decision-making techniques and gradually progresses to more advanced topics, including machine learning-based approaches, the integration of artificial intelligence, and the role of fuzzy logic in decision support systems. Furthermore, ethical considerations in decision-making and strategies for mitigating bias are examined, ensuring that models remain fair and transparent.Througho... this book, each chapter builds on the previous one, providing a structured and comprehensive learning experience. By the time readers complete this book, they will have gained an in-depth understanding of decision-making frameworks, their applications, and the future directions of research in this dynamic field. Whether one is a student, a researcher, or an industry professional, this book serves as a valuable guide to mastering the complexities of decision systems and applying them effectively in various domains.

  • Edge Artificial Intelligence

    Algorithms, Applications, Challenges and Ethical Issues
    • 1st Edition
    • Parikshit Narendra Mahalle + 3 more
    • English
    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.

  • Quaternion-Based Sparse Image Processing

    Advances in Multispectral Processing
    • 1st Edition
    • Satya Prakash Yadav + 4 more
    • English
    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.

  • Quantum Computing

    Principles and Paradigms
    • 1st Edition
    • Rajkumar Buyya + 1 more
    • English
    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.

  • Intelligent Data Analytics for Solar Energy Prediction and Forecasting

    Advances in Resource Assessment and PV Systems Optimization
    • 1st Edition
    • Amit Kumar Yadav + 2 more
    • English
    Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.

  • Tactile Robotics

    • 1st Edition
    • Qiang Li
    • English
    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.

  • Massive MIMO in Practice

    From 5G to 6G
    • 2nd Edition
    • Henrik Asplund + 12 more
    • English
    Massive MIMO in Practice: From 5G to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.This new edition will provide a thorough understanding of:array antennas and how they can be used for beamforming, null-forming, and support for MIMO features;Massive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, for example, characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to these;a detailed walk-through of the 3GPP physical layer support for Massive MIMO solutions, the background for this support, and how it can be used in mobile networks;explanation... of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations, different Massive MIMO features, and different network deployment environments;regulat... aspects which are new and specific to Massive MIMO operation; and product architecture and implementation aspects that provide cost efficient and flexible operation.New to this edition More detail on the practical use of Massive MIMO in commercial mobile networks, specifically how to choose solutions, including antenna configuration and suitable Massive MIMO features, for cost efficient operation depending on traffic and environmental conditionsA new chapter on how to put the complete Massive MIMO solution together: hardware solutions, features and use of spectrum, particularly the different use of TDD, FDD, and mm-waveOutlines promising Massive MIMO solutions to be deployed in the futureInclusion of 3GPP’s Rel. 17 and Rel. 18 updatesRecent regulatory issues of high general interestPractical aspects of network planning, deployment, and operationExamples of other applications of Massive MIMO: satellites, drones, and FWAOutlines the path Massive MIMO can play to achieving 6G

  • Artificial Intelligence Innovations for Biomedical Engineering and Healthcare

    • 1st Edition
    • Alma Y Alanis + 3 more
    • English
    Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics are reshaping the healthcare landscape.From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape.

  • Python Fast Track

    A Complete Guide to Rapidly Mastering and Applying Python Programming
    • 1st Edition
    • Sanjiban Sekhar Roy + 2 more
    • English
    Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

  • Bi-directionality in Human-AI Collaborative Systems

    • 1st Edition
    • William Lawless + 3 more
    • English
    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.

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