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  • Sách/Book

  • Artificial Intelligence in Earth Science: Best Practices and Fundamental Challenges

    • Authors: Sun, Ziheng (2023)

  • The book focuses on the most challenging problems in applying AI in Earth system sciences, such as training data preparation, model selection, hyperparameter tuning, model structure optimization, spatiotemporal generalization, transforming model results into products, and explaining trained models. In addition, it provides full-stack workflow tutorials to help walk readers through the whole process, regardless of previous AI experience.
  • Sách/Book

  • Integrated Human-Machine Intelligence: Beyond Artificial Intelligence

    • Authors: Liu, Wei (2023)

  • The book also details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making to provide basic theoretical support for a development strategy in the field of national intelligence. Sections focus on describing a new form of intelligence produced by the interaction of human, machine and environmental systems which will become the next generation of AI.
  • Sách/Book

  • Deep network design for medical image computing : principles and applications

    • Authors: Liao, Haofu (2022)

  • Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc.
  • Sách/Book

  • IoT-enabled Convolutional Neural Networks: Techniques and Applications

    • Authors: Gaur, Loveleen (2023)

  • Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc.
  • Sách/Book

  • Research advances in network technologies

    • Authors: Verma, Anshul (2023)

  • In current digital era, information is an important asset for our daily life as well as for small and large-scale businesses. The network technologies are the main enablers that connect the computing devices and resources together to collect, process and share the vital information locally as well as globally. The network technologies provide efficient, flexible and seamless communication while maximizing productivity and resources for our day-to-day life and business operations