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Title	Editorial: Machine Learning, Advances In Computing, Renewable Energy And Communication (Marc)
ID_Doc	21907
Authors	Tomar A.; Malik H.; Kumr P.; Iqbal A.
Year	2022
Published	Lecture Notes in Electrical Engineering, 915
DOI	http://dx.doi.org/10.1007/978-981-19-2828-4_1
Abstract	Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization implements AI by using ML so that system’s behavior of interchangeably and ambiguously is updated automatically through the experience without any delay. So, current advances in AI have involved ML. The ML starts with data (i.e., any kind of data starting from primary to secondary data). These data are collected and preprocessed to be used as training and testing the ML models being utilized for different applications such as regression, prediction, forecasting, classification, clustering, management, design, optimization, security, IoTs, health care, digitization, automation, control, privacy protection and e-commerce. In this book, the applications AI, ML and its advancement for different applications have been presented into different chapters, including the state-of-the-art and implementation in the various research domains of engineering and science. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Advance computing; Artificial intelligence; Communication; Condition monitoring; Data analytics; Diagnosis; Electric vehicle; Energy storage; Fault detection; Forecasting; Machine learning; Management; Optimization; Power system; Prediction; Renewable energy; Safety analysis; Smart city; Smart grid

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