Nhu-Ngoc Dao – författare

The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions.

This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This two-set volume CCIS 2653 and 2654 constitutes the refereed proceedings of the Second International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2024, held in Chennai, India, during December 12–13, 2024.The 59 full papers included in this book were carefully reviewed and selected from 434 submissions. The papers are organized in the following topical sections:Part I: artificial intelligence and data analytics; machine learning.Part II: artificial intelligence and data analytics; deep learning.

This two-set volume CCIS 2653 and 2654 constitutes the refereed proceedings of the Second International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2024, held in Chennai, India, during December 12–13, 2024.The 59 full papers included in this book were carefully reviewed and selected from 434 submissions. The papers are organized in the following topical sections:Part I: artificial intelligence and data analytics; machine learning.Part II: artificial intelligence and data analytics; deep learning.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as artificial intelligence, Internet of Things, intelligent systems, and mobile networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as artificial intelligence, Internet of Things, intelligent systems, and mobile networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products.

This book aims to provide state-of-the-art knowledge in the field of intelligent aerial systems to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as AI applications, drone swarm formation and control, Internet of Things, intelligent systems, and mobile networks. In the industrial area, this book provides information on recent studies in applying AI to aerial network developments, which help to align and shorten R&D processes to introduce new classes of intelligent aerial systems products.