The concept of uncertainty has long been used in applied science, especially decision making and a logical decision must be made in the field of uncertainty or in the real-life environment that is formed and combined with vague concepts and data.
The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced... Læs mere
This two-volume set constitutes the refereed proceedings of the 16th... 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
The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep... Læs mere
The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications.
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