It focuses on Higgs boson decays into bottom quarks H ? bb¯ and top quark pair decays involving at least one lepton.
This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning... Læs mere
The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced... Læs mere
As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to... Læs mere
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems.
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning.
Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the... Læs mere