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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.

41-50 of 3094 results in All results

Computational Intelligence in Sustainable Computing and Optimization

  • 1st Edition
  • October 1, 2024
  • Balamurugan Balusamy + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 5 - 6
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. This book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources. Computational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. Data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable.

Fuzzy Methods for Assessment and Decision Making

  • 1st Edition
  • October 1, 2024
  • Michael Gr. Voskoglou
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 3 - 1
Assessment is a very important component of human activities because it helps in determining possible mistakes and in improving performance by preventing the repeat of such mistakes in future. Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model is developed using the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets and soft sets as tools. The book starts with the basic mathematical background which is needed for the understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index. The necessary information follows regarding the learning and problem-solving processes, and the book then presents the hybrid assessment model. Dr. Voskoglou presents innovative fuzzy assessment methods, enabling the reader to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal. The fuzzy assessment methods presented in this book solve these problems. Further, the use of neutrosophic sets enables readers to obtain safer results when there are doubts about the accuracy of the grades assigned to students, while the use of soft sets enables a parametric assessment of the group's overall performance. Furthermore, the book presents a variety of applications of Fuzzy assessment as well as the principles and application of fuzzy decision making, which is fundamental for a wide variety of AI, machine learning, computational intelligence, and knowledge engineering applications.

Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations

  • 1st Edition
  • October 1, 2024
  • Tshilidzi Marwala
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 2 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 3 - 0
Recent advances in AI and Mechanism Design provide a vital tool for solving collective action problems, common in international relations. By using AI to optimize mechanisms for cooperation and coordination, we can better address issues such as climate change, trade, and security. Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations shows readers how the intersection of Mechanism Design and Artificial Intelligence is revolutionizing the way we approach international relations. By using AI to optimize mechanisms, we can design better institutions, policies, and agreements that are more effective and efficient. Dr. Tshilidzi Marwala, United Nations University Rector and UN Under-Secretary General, presents the essential technologies used in Game Theory, Mechanism Design and AI and applies these to significant global issues such as interstate conflict, cybersecurity, and energy. International relations are a complex field, with many different actors and interests in play. By incorporating AI into our analysis and decision-making processes, we can better understand and predict the behavior of multiple actors and design mechanisms that take these behaviors into account, thereby producing more desirable and creative interdisciplinary approaches. The book presents real-world applications of these rapidly evolving technologies in crucial research fields such as Interstate Conflict, International Trade, Climate Change, Water management, Energy, cybersecurity, and global finance.

Data Science in the Medical Field

  • 1st Edition
  • October 1, 2024
  • Seifedine Kadry + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 0 2 8 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 0 2 9 - 4
Data science has the potential to influence and improve fundamental services like the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare.Every human body produces 2 terabytes of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, like data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients.The book focuses on the potential and the tools of data science to identify illness signs at an extremely early stage.

Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

  • 1st Edition
  • October 1, 2024
  • Marvellous Moyo + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 4 8 3 0 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 4 8 3 1 - 3
Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages - this adds a new dimension of research on medical device implants that can be a game changer for the artificial intelligent (AI) medical implants industry. Researchers, engineers, and graduate students in the fields of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future.

Uncertainty in Computational Intelligence-Based Decision Making

  • 1st Edition
  • September 27, 2024
  • Ali Ahmadian + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 4 7 6 - 9
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others.The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.

Caspases as Molecular Targets for Cancer Therapy

  • 1st Edition
  • September 23, 2024
  • Ankur Vaidya
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 4 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 6 4 5 - 8
Caspases as Molecular Targets for Cancer Therapy discusses recent developments on targeted therapies for cancer using caspases. It describes the selection of specific caspases for cancer therapy with the current standard-of-care and highlights numerous assay techniques for caspases activities. The book discusses topics such as mutations within apoptosis gene, inflammatory caspases, tumor suppression, and the different caspases types and their role in anticancer activity. In addition, it discusses caspases activity assay procedure and future perspectives.It is a valuable resource for researchers, students and members of the biomedical and medical fields who want to learn more about novel anticancer targeted therapies.

Handbook of Statistical Analysis

  • 3rd Edition
  • September 16, 2024
  • Robert Nisbet + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 8 4 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 8 4 6 - 9
Handbook of Statistical Analysis: AI and ML Applications, third edition, is a comprehensive introduction to all stages of data analysis, data preparation, model building, and model evaluation. This valuable resource is useful to students and professionals across a variety of fields and settings: business analysts, scientists, engineers, and researchers in academia and industry. General descriptions of algorithms together with case studies help readers understand technical and business problems, weigh the strengths and weaknesses of modern data analysis algorithms, and employ the right analytical methods for practical application. This resource is an ideal guide for users who want to address massive and complex datasets with many standard analytical approaches and be able to evaluate analyses and solutions objectively. It includes clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques; offers accessible tutorials; and discusses their application to real-world problems.

High Performance Computing

  • 2nd Edition
  • September 1, 2024
  • Thomas Sterling + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 2 3 0 3 5 - 0
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 2 1 2 - 0
Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products.This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.

A Practical Introduction to Virtual Reality

  • 1st Edition
  • September 1, 2024
  • Lori Rebenitsch + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 6 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 3 7 - 2
A Practical Introduction to Virtual Reality: From Concepts to Executables is written for the undergraduate computer science student taking a course in virtual reality. This tutorial-based text is organized so that by the end of the semester students will have created their first VR game, including sound and various interactions. The materials are written from the position of the student and the student’s professor as opposed to the professional with prior graphics experience.Beginning with an introductory chapter covering the ten universal basics necessary for VR coding, the book moves on to such topics as putting together a VR set-up, creating Heads Up displays, building scene trees, learning how to import 3D models and animations, lighting and audio, and more, until by the end of the book, students will have a final project game ready for beta testing and publishing!