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
This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it.
This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology... Læs mere
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine... Læs mere
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
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.
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.
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.