Machine Learning Algorithms and Applications. Группа авторов

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       Sustainable Computing and Optimization

      The objective of the series is to bring together the global research scholars, experts, and scientists in the research areas of sustainable computing and optimization from all over the world to share their knowledge and experiences on current research achievements in these fields. The series aims to provide a golden opportunity for the global research community to share their novel research results, findings, and innovations to a wide range of readers. Data is everywhere and continuing to grow massively, which has created a huge demand for qualified experts who can uncover valuable insights from the data. The series will promote sustainable computing and optimization methodologies in order to solve real life problems mainly from engineering and management systems domains. The series will mainly focus on the real-life problems, which can suitably be handled through these paradigms.

       Submission to the series:

      Dr. Prasenjit Chatterjee Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah - 711204, West Bengal, India E-mail: [email protected]

      Dr. Morteza Yazdani Department of Management, Universidad Loyola Andalucia, Seville, Spain E-mail: [email protected]

      Dr. Dilbagh Panchal Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar, Punjab, India E-mail: [email protected]

      Publishers at Scrivener Martin Scrivener ([email protected]) Phillip Carmical ([email protected])

      Machine Learning Algorithms and Applications

      Edited by

       Mettu Srinivas,

       National Institute of Technology, Warangal, India

       G. Sucharitha,

       Institute of Aeronautical Engineering, Hyderabad, India

       Anjanna Matta

       Faculty of Science and Technology, IFHE, Hyderabad, India

      and

       Prasenjit Chatterjee

       MCKV Institute of Engineering, Howrah, India

      This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

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