Artificial Intelligence for Sustainability

Artificial Intelligence is used to process and analyze massive amounts of data and is used in a variety of industries, including finance, renewable energy, environmental health, and transportation. It's applications can process high-dimensional data in extensive data sets and analyze them with goals for predictions, recognition, and interaction challenges for more sustainable environmental protection in climate change, energy transformation, and pollution.  This series discuss intelligent computing design and implement methodological and algorithmic long-term solutions by addressing the sustainability problems. It showcases sustainable technologies including the internet of things (IoT), cloud computing, blockchain, and machine learning. Aimed at graduate students, academic researchers and professionals, the proposed series will focus on key topics including drone data analytics in aerial computing, deep learning techniques for Industry 4.0, autonomous robots in UAV, and applications of computer vision and natural language processing.