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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

    • Necrobotics for Healthcare Applications and Management

      • 1st Edition
      • February 28, 2025
      • Hemachandran Kannan + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 3 2 0
      • eBook
        9 7 8 0 4 4 3 2 4 8 3 3 7
      Necrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of robotics, technology, and healthcare, the book presents leading-edge research, practical implementations, and ethical considerations. It bridges a significant gap in healthcare literature, furnishing a contemporary and comprehensive perspective on necrobotics. Highlighting its distinct applications, management nuances, and ethical dimensions in the domain of medical robotics, the book equips readers with an in-depth grasp of this evolving field. It offers insights into technological intricacies, practical utilization, and ethical guidelines. Through real-world case studies and exemplar practices, it vividly demonstrates successful necrobotics deployments while addressing integration challenges. The book facilitates adept navigation of necrobotics complexities, spur innovation, enhance patient outcomes, and contribute to healthcare evolution. Catering to the distinct information requisites and daily obstacles encountered by engineers, healthcare practitioners, and researchers, the book offers extensive insights into necrobotics technologies, real-life case studies, and ethical reflections. It stands as a valuable resource for individuals striving to harness necrobotics' potential for efficacious healthcare solutions.

    • Statistical Modeling and Robust Inference for One-shot Devices

      • 1st Edition
      • March 26, 2025
      • Narayanaswamy Balakrishnan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 1 5 3 9
      • eBook
        9 7 8 0 4 4 3 1 4 1 5 2 2
      The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering. These devices, which are destroyed or must be rebuilt after use, are a particular case of extreme censoring, which makes the problem of estimating their reliability and lifetime challenging. However, classical statistical and inferential methods do not consider the issue of robustness.Statistic... Modeling and Robust Interference for One-shot Devices offers a comprehensive investigation of robust techniques of one-shot devices under accelerated-life tests. With numerous examples and case studies in which the proposed methods are applied, this book includes detailed R codes in selected chapters to help readers implement their own codes and use them in the proposed examples and in their own research on one-shot devicetesting data. Researchers, mathematicians, engineers, and students working on acceleratedlife testing data analysis and robust methodologies will find this to be a welcome resource.

    • Up and Running with AutoCAD 2026

      • 1st Edition
      • July 25, 2025
      • Robert C. Kaebisch
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 5 9 3 5
      • eBook
        9 7 8 0 4 4 3 3 6 5 9 4 2
      Up and Running with AutoCAD 2026: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instructions, examples, and insightful explanations. The book emphasizes core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.

    • Metaverse in the Healthcare Industry

      • 1st Edition
      • September 6, 2025
      • Hemachandran Kannan + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 1 8 2 7
      • eBook
        9 7 8 0 4 4 3 3 0 1 8 3 4
      Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques explores the intersection of rapidly evolving metaverse technology and its implications for the healthcare sector. The book provides a comprehensive overview of virtual and augmented reality, artificial intelligence, and other immersive technologies that have gained significant attention within the context of the metaverse in healthcare. It emphasizes how these technologies can revolutionize healthcare by enabling virtual clinics, patient education, remote medical training, therapeutic interventions, and much more. By bringing together diverse perspectives, it contributes to the ongoing discourse on the future of healthcare delivery and innovation.This book also delves into technical aspects of metaverse development and its integration with existing healthcare systems. It discusses ethical considerations and challenges associated with implementing metaverse technologies in healthcare settings. Additionally, it highlights the potential to reshape the healthcare landscape by fostering innovation, improving patient care, and revolutionizing medical training and research. Readers will gain insights into applications, tools, and techniques for leveraging the metaverse to create more effective and accessible healthcare solutions.

    • Quantum Computational AI

      • 1st Edition
      • September 11, 2025
      • Long Cheng + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 2 5 9 6
      • eBook
        9 7 8 0 4 4 3 3 0 2 6 0 2
      Quantum Computational AI: Algorithms, Systems, and Applications is an emerging field that bridges quantum computing and artificial intelligence. With rapid advancements in both areas, this book serves as a vital resource, capturing the latest theories, algorithms, and practical applications at their intersection. It aims to be both informative and accessible, making it perfect for academics, researchers, industry professionals, and students eager to lead in these technologies. The book explores quantum algorithms, system design, and demonstrates real-world applications across various sectors. It provides a comprehensive understanding of how quantum principles can advance AI, revealing unprecedented possibilities and benefits.

    • Sensor Networks for Smart Hospitals

      • 1st Edition
      • January 17, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 3 7 0 2
      • eBook
        9 7 8 0 4 4 3 3 6 3 7 1 9
      Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency.

    • Data Mining

      • 5th Edition
      • February 4, 2025
      • Ian H. Witten + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 8 8 8 9
      • eBook
        9 7 8 0 4 4 3 1 5 8 8 9 6
      Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today’s techniques coupled with the methods at the leading edge of contemporary research

    • Probability for Deep Learning Quantum

      • 1st Edition
      • January 21, 2025
      • Charles R. Giardina
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 8 3 4 4
      • eBook
        9 7 8 0 4 4 3 2 4 8 3 5 1
      Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar.Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

    • Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City

      • 1st Edition
      • February 28, 2025
      • Tuan Anh Nguyen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 7 4 8
      • eBook
        9 7 8 0 4 4 3 3 4 1 7 5 5
      In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Dig... Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.

    • Fractional Modeling of Fluid Flow and Transport Phenomena

      • 1st Edition
      • January 31, 2025
      • Mohamed F. El-Amin
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 0 8 2
      • eBook
        9 7 8 0 4 4 3 2 6 5 0 9 9
      Fractional Modeling of Fluid Flow and Transport Phenomena focuses on mathematical and numerical aspects of fractional-order modeling in fluid flow and transport phenomena. The book covers fundamental concepts, advancements, and practical applications, including modeling developments, numerical solutions, and convergence analysis for both time and space fractional order models. Various types of flows are explored, such as single- and multi-phase flows in porous media, involving different fluid types like Newtonian, non-Newtonian, nanofluids, and ferrofluids. This book serves as a comprehensive reference on fractional-order modeling of fluid flow and transport phenomena, offering a single resource that is currently unavailable.Fraction... modeling has gained traction in engineering and science, particularly in fluid dynamics and transport phenomena. However, its mathematical and numerical advancements have progressed relatively slowly compared to other aspects. Therefore, this book emphasizes the fractional-order modeling of fluid flow and transport phenomena to bridge this gap. Each chapter in the book delves into a specific topic closely related to the others, ensuring a cohesive and self-contained structure.

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