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  • 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: 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.

  • Sách/Book


  • Authors: Anthony Almudevar. (2021)

  • "The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegant. Theory of Statistical Inference is concerned with the development of a type of optimization theory which can be used to inform the choice of statistical methodology. Of course, this would be pointless without reference to such methods. We are simply noting that they are included in support of the larger goal. This book distinguishes itself from other graduate textbooks because it is written from the point of view that some degree of understanding of measure theory, as well as other branches of mathematics, which include topology, group theory and complex analysis, should be a part of the canon of statistical inference

  • Sách/Book


  • Authors: Kizior, Robert J (2020)

  • The go-to guide for students and nurses alike to promote better patient care! Saunders Nursing Drug Handbook 2021 provides you with essential information on more than 1,000 generic and 4,000 trade name drugs. This handy, user-friendly guide features updated Black Box Alerts and comprehensive coverage of IV drug administration, side effects and adverse reactions, fixed combinations, and nursing considerations. It uniquely guides you through clinical priorities in the practice setting and is organized alphabetically by generic drug name for quick reference. New drug monographs cover 17 new FDA-approved drugs!

  • Sách/Book


  • Authors: Law, Jonathan (2021)

  • This new edition of A Dictionary of Nursing provides, in over 10,500 entries, explanations of the terms and concepts likely to be encountered by student and practising nurses and allied health professionals during the course of their work and training. In addition to terms relating specifically to the nursing profession and the nursing process, there are many entries in the fields of medicine, surgery, anatomy and physiology, ethics, statistics, endocrinology, psychiatry, and pharmacology. For this edition, many new terms have been added, increasing the coverage of such fields as radiography, dentistry, public health, and epidemiology. Drug names reflect the use of recommended International Non-proprietary Names