Antonio Sarasa Cabezuelo – författare

This book is a collection of carefully selected quality research contributions that report the advances in Artificial Intelligence (AI). Composed of 37 individual research chapters, this book explores how AI is transforming health care, agriculture, security, image processing, and more to describe how artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies improve patient care, enhance agriculture, develop smarter transportation systems, and automate tasks across industries. This book is for researchers, professionals, and enthusiasts who want to understand the future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology.

This book covers the new research convergence, exploring how AI is transforming computer networks and cognitive technologies. As AI research explodes, the lines between technology and human potential are blurring. With a collection of 38 research chapters, this book is a collection of research efforts that explore the cutting-edge topics like intelligent robots, intelligent and automated network security, brain–computer interfaces, and advanced language processing. Overall, this book provides an overview of how AI is optimizing and analyzing massive datasets for obtaining hidden insights. The research methods and future research scope discussed in each chapter will serve as a key to understand the transformative power of AI and cognitive technologies. The knowledge shared in this book will equip young research minds to harness the potential of computing and cognitive technologies and shape a brighter future.

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2024) organized by Stamford International University, Bangkok, Thailand, during September 12–13, 2024. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.