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  • Sách/Book


  • Authors: Huimin Lu (2021)

  • This book provides insights into research in the field of artificial intelligence in combination with robotics technologies. The integration of artificial intelligence and robotic technologies is a highly topical area for researchers and developers from academia and industry around the globe, and it is likely that artificial intelligence will become the main approach for the next generation of robotics research.

  • Sách/Book


  • Authors: Bijoy Chand Chatterjee (2020)

  • The book explains the fragmentation problem in EONs, discusses, and analyzes the major conventional spectrum allocation policies in terms of the fragmentation effect in a network. The taxonomies of the fragmentation management approaches are presented along with different node architectures. State-of-the-art fragmentation management approaches are looked at.

  • Sách/Book


  • Authors: Stanley Cohen (2021)

  • Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning.

  • Sách/Book


  • Authors: D. Jude Hemanth (2021)

  • The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind

  • Sách/Book


  • Authors: Jacque Lynn Foltyn (2022)

  • For the international cast of contributors to this volume being “in fashion” is about self-presentation; defining how fashion is presented in the visual, written, and performing arts; and about design, craft manufacturing, packaging, marketing, and archives.

  • Sách/Book


  • Authors: Harden, Ronald M (2021)

  • This Sixth Edition of the highly praised Practical Guide for Medical Teachers provides a bridge between the theoretical aspects of medical education and the delivery of enthusiastic and effective teaching in basic science and clinical medicine.

  • Sách/Book


  • Authors: Sheldon M. Ross (2021)

  • This book is intended for upper level undergraduate and graduate students taking a probability and statistics course in engineering programs as well as those across the biological, physical and computer science departments. It is also appropriate for scientists, engineers and other professionals seeking a reference of foundational content and application to these fields.