Machine learning for sustainable development

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...

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Bibliographic Details
Other Authors Hiran, Kamal Kant, 1982- (Editor), Khazanchi, Deepak (Editor, Contributor), Vyas, Ajay Kumar (Editor), Sanjeevikumar, Padmanaban, 1978- (Editor), Alsharif, Futoon (Contributor), Aluvalu, Rajanikanth (Contributor), Bandhu, Kailash Chandra (Contributor), Bashawyah, Doaa A. (Contributor), Bhansali, Ashok (Contributor), Chhabra Gandhi, Geeta (Contributor), Dadhich, Manish (Contributor), Dadhich, Shruti (Contributor), Doshi, Ruchi (Contributor), Guha, Radha (Contributor), Guruvare, Shyamala (Contributor), Hegde, Roopa B. (Contributor), Jain, Vipin (Contributor), Jayaprakash, Sujith (Contributor), Kalla, Mukesh (Contributor), Kant Hiran, Kamal (Editor), Kathiresan, V. (Contributor), Keerthi Chennam, Krishna (Contributor), Kudva, Vidya (Contributor), Kumar Vyas, Ajay (Editor), Lakhwani, Kamlesh (Contributor), Maheswari, Uma V. (Contributor), Mahrishi, Mehul (Contributor), Mathew, Ammu Anna (Contributor), Mishra, Anoop (Contributor), Mithal, Amit (Contributor), Mittal, Rohit (Contributor), Morwal, Sudha (Contributor), Padmanaban, Sanjeevikumar (Editor), Pathak, Vibhakar (Contributor), Prasad, Keerthana (Contributor), Qaisar, Saeed Mian (Contributor), Saxena, Swati (Contributor), Shanmugapriya, N. (Contributor), Sharma, Girish (Contributor), Singh, Brij Mohan (Contributor), Subasi, Abdulhamit (Contributor), Tripathi, Abhishek (Contributor), Vivekanandan, S. (Contributor)
Format Electronic eBook
LanguageEnglish
Published Berlin ; Boston : Walter de Gruyter GmbH, [2021]
SeriesDe Gruyter frontiers in computational intelligence ; v. 9.
Subjects
Sustainable development.
Machine learning.
Artificial intelligence.
Internet of things.
elektronické knihy
electronic books
Online AccessFull text
ISBN3110702517
9783110702514
9783110702484
3110702487
Physical Description1 online resource (xiii, 200 pages) : illustrations (some color)

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Table of Contents:
  • Chapter 1. A framework for applying artificial intelligence (AI) with Internet of nanothings (IoNT)
  • Chapter 2 Opportunities and challenges in transforming higher education through machine learning
  • Chapter 3 Efficient renewable energy integration: a pertinent problem and advanced time series data analytics solution
  • Chapter 4 A comprehensive review on the application of machine learning techniques for analyzing the smart meter data
  • Chapter 5 Application of machine learning algorithms for facial expression analysis
  • Chapter 6 Prediction of quality analysis for crop based on machine learning model
  • Chapter 7 Data model recommendations for real-time machine learning applications: a suggestive approach
  • Chapter 8 Machine learning for sustainable agriculture
  • Chapter 9 Application of machine learning in SLAM algorithms
  • Chapter 10 Machine learning for weather forecasting
  • Chapter 11 Applications of conventional machine learning and deep learning for automation of diagnosis: case study
  • Index

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