Trends in Sustainable Computing and Machine Intelligence | 78.02 MB
Title: Trends in Sustainable Computing and Machine Intelligence
Author: Surekha Lanka · Antonio Sarasa Cabezuelo · Alexandru Tugui
Category: Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Advanced Computing, Artificial Intelligence, Technology, Engineering
Language: English | 651 Pages | ISBN: 9819994357
Description:
This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2025) organized by Stamford International University, Bangkok, Thailand, during September 19-20, 2025. 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.
This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2025) organized by Stamford International University, Bangkok, Thailand, during September 19-20, 2025. 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.
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