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This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic... Læs mere
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in... Læs mere
This book provides a platform for presenting machine learning-enabled healthcare techniques and offers a... Læs mere
This study is about the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms.
This book explores the synergy between VLSI and Machine Learning and its applications across various domains. It will... Læs mere
This book provides an examination of cutting-edge research and developments in the field of Artificial Intelligence. It seeks to extend the... Læs mere
This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis. The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields.
Explores the transformative potential of ML technologies in agriculture. It delves into specific applications, such as... Læs mere
The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements.
The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.
Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is intended for professionals, researchers, and scientists in... Læs mere
This book begins by discussing the fundamentals of artificial intelligence, the internet of things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the artificial intelligence of things.