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The goal of this book is to help aspiring readers and researchers understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0.
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This book presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems.
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Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be... Læs mere
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This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial... Læs mere
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The Primacy of Doubt takes us on a unique journey through the science of uncertainty, covering a breathtaking range of topics, from climate change to the foundations of quantum physics, economic modelling to conflict prediction, free will to consciousness.
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This book introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying... Læs mere
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Knowledge Guided Machine Learning provides an introduction to this rapidly growing field by discussing some... Læs mere
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Cybersecurity and High-Performance Computing Environments provides a collection of the current... Læs mere
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Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government.... Læs mere
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This book discusses various AI and ML applications concerning smart building including integration... Læs mere
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This book explains data centers concept including data collection, public parking systems, smart metering, and sanitizer... Læs mere
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Assuming no prior knowledge of plasma physics or numerical methods, "Computational Methods in Plasma Physics" covers the computational mathematics and techniques... Læs mere