Machine learning for sustainable development

• Other Authors: Hiran, Kamal Kant, 1982- (Editor), Khazanchi, Deepak, (Editor, Contributor, https://id.loc.gov/vocabulary/relators/ctb, http://id.loc.gov/vocabulary/relators/edt), Vyas, Ajay Kumar, (Editor), Sanjeevikumar, Padmanaban, 1978- (Editor), Alsharif, Futoon, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Aluvalu, Rajanikanth, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Bandhu, Kailash Chandra, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Bashawyah, Doaa A., (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Bhansali, Ashok, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Chhabra Gandhi, Geeta, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Dadhich, Manish, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Dadhich, Shruti, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Doshi, Ruchi, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Guha, Radha, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Guruvare, Shyamala, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Hegde, Roopa B., (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Jain, Vipin, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Jayaprakash, Sujith, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Kalla, Mukesh, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Kant Hiran, Kamal, (Editor, http://id.loc.gov/vocabulary/relators/edt), Kathiresan, V., (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Keerthi Chennam, Krishna, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Kudva, Vidya, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Kumar Vyas, Ajay, (Editor, http://id.loc.gov/vocabulary/relators/edt), Lakhwani, Kamlesh, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Maheswari, Uma V., (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Mahrishi, Mehul, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Mathew, Ammu Anna, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Mishra, Anoop, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Mithal, Amit, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Mittal, Rohit, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Morwal, Sudha, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Padmanaban, Sanjeevikumar, (Editor, http://id.loc.gov/vocabulary/relators/edt), Pathak, Vibhakar, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Prasad, Keerthana, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Qaisar, Saeed Mian, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Saxena, Swati, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Shanmugapriya, N., (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Sharma, Girish, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Singh, Brij Mohan, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Subasi, Abdulhamit, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Tripathi, Abhishek, (Contributor, https://id.loc.gov/vocabulary/relators/ctb), Vivekanandan, S., (Contributor, https://id.loc.gov/vocabulary/relators/ctb)
• Format: eBook
• Language: English
• Published: Berlin ; Boston : Walter de Gruyter GmbH, [2021]
• Series: De Gruyter frontiers in computational intelligence ; v. 9.
• Subjects: Sustainable development.; Machine learning.; Artificial intelligence.; Internet of things.; elektronické knihy; electronic books
• ISBN: 3110702517; 9783110702514; 9783110702484; 3110702487
• Physical Description: 1 online resource (xiii, 200 pages) : illustrations (some color)
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.