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This self-contained textbook introduces students and researchers of AI to the key mathematical concepts and techniques necessary to learn and analyze... Læs mere
A rigorous, yet accessible, textbook for computer science students learning probability. It covers topics of interest to computer scientists, including... Læs mere
Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture... Læs mere
AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines.
The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors
This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their... Læs mere
The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care... Læs mere
This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders.
This book explains use of data science-based techniques for modelling and providing optimal solutions to complex problems in civil engineering. It... Læs mere
This book examines the advantages of evolutionary algorithms and traditional multi-criteria decision making (MCDM) techniques together in the healthcare field. It also discusses smart technology integration practices for general medical centers.
Computational complexity is critical in analysis of algorithms and is important to be able to select algorithms for efficiency and solvability. Algorithm and Design Complexity initiates with discussion of algorithm analysis, time space trade-off, symptotic notations and so forth.
This book brings consolidated information in the form of fuzzy machine and deep learning models for single class mapping from... Læs mere