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  • Sách/Book

  • What Teachers Need to Know about Teaching methods

    • Authors: Westwood, Peter S (2008)

  • What Teachers Need to Know about Teaching Methods explains the different theories of teaching and learning, together with their underlying principles and methods. The book defines the role of a teacher in the learning process and looks at the latest research on what contributes toward effective practice. It deals with important key issues and provides a wealth of references for further study and exploration in the subject.
  • Sách/Book

  • AI Ethics: A Textbook

    • Authors: Paula Boddington (2023)

  • This book introduces readers to critical ethical concerns in the development and use of artificial intelligence. Offering clear and accessible information on central concepts and debates in AI ethics, it explores how related problems are now forcing us to address fundamental, age-old questions about human life, value, and meaning. In addition, the book shows how foundational and theoretical issues relate to concrete controversies, with an emphasis on understanding how ethical questions play out in practice.
  • Sách/Book

  • Confluence of Artificial Intelligence and Robotic Process Automation

    • Authors: Siddhartha Bhattacharyya (2023)

  • This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes.
  • Sách/Book

  • Biomedical Signal and Image Processing with Artificial Intelligence

    • Authors: Chirag Paunwala (2023)

  • This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies.
  • Sách/Book

  • The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations

    • Authors: Aboul Ella Hassanien (2023)

  • This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
  • Sách/Book

  • Recent Advances in Data and Algorithms for e-Government

    • Authors: Christophe Gaie (2023)

  • This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent.
  • Sách/Book

  • Artificial Intelligence in Medical Virology

    • Authors: Jyotir Moy Chatterjee (2023)

  • This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare.
  • Sách/Book

  • Artificial Intelligence for Business Analytics: Algorithms, Platforms and Application Scenarios

    • Authors: Felix Weber (2023)

  • This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company.
  • Sách/Book

  • A robotic framework for the mobile manipulator : theory and application

    • Authors: Nguyen Van Toan (2023)

  • This book helps readers visualize an end-to-end workflow for making a robot system work in a targeted environment. It is considered as a bridge from theories to real products, in which robotic software modules and the robotic system integration are mainly concerned