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It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main topics: physics-informed... Læs mere
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This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it.
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This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology... Læs mere
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This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine... Læs mere
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Parts I and II summarise and provide an overview of core theory (including key simulation methods) and inference methods, complemented by a selection of recent research... Læs mere
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The discovery in 2012 of the Higgs boson at the Large Hadron Collider (LHC) represents a milestone for the Standard Model (SM) of particle physics.
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This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.
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This book provides a comprehensive review and in-depth study on efficient beamforming design and rigorous performance analysis in mmWave networks, covering beam alignment, beamforming training and beamforming-aided caching.