Machine Learning for Sustainable Development

Machine Learning for Sustainable Development
Author: Kamal Kant Hiran
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 214
Release: 2021-07-19
Genre: Computers
ISBN: 3110702517

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The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.


Machine Learning for Sustainable Development
Language: en
Pages: 214
Authors: Kamal Kant Hiran
Categories: Computers
Type: BOOK - Published: 2021-07-19 - Publisher: Walter de Gruyter GmbH & Co KG

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The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adop
Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications
Language: en
Pages: 310
Authors: Aboul Ella Hassanien
Categories: Technology & Engineering
Type: BOOK - Published: 2020-08-31 - Publisher: Springer Nature

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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and e
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Language: en
Pages: 418
Authors: Krishna Kumar
Categories: Science
Type: BOOK - Published: 2022-03-18 - Publisher: Academic Press

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including
Artificial Intelligence and Machine Learning for Sustainable Development
Language: en
Pages: 0
Authors: Ahmed A. Elngar
Categories:
Type: BOOK - Published: 2024-12-21 - Publisher:

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Artificial Intelligence for Sustainable Development
Language: en
Pages: 492
Authors: Anandakumar Haldorai
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

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