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Machine Learning for Sustainable Development

      Author: Baturi   |   22 July 2021   |   comments: 0



Machine Learning for Sustainable Development
Machine Learning for Sustainable Development
by Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas, Sanjeevikumar Padmanaban

English | 2021 | ISBN: 3110702487 | 216 pages | PDF EPUB | 120.64 MB


THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE
The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research.
Series Editor
Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India
Editorial Advisory Board
Dr. Elizabeth Behrman, Wichita State University, Kansas, USA
Dr. Goran Klepac
Dr. Leo Mrsic, Algebra University College, Croatia
Dr. Aboul Ella Hassanien, Cairo University, Egypt
Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic
Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland
Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

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