Machine learning for sustainable development
by Doshi, Ruchi, Subasi, Abdulhamit, Khazanchi, Deepak, Alsharif, Futoon, Aluvalu, Rajanikanth, Bandhu, Kailash Chandra, Bashawyah, Doaa A., Bhansali, Ashok, Chhabra Gandhi, Geeta, Dadhich, Manish, Dadhich, Shruti, Guha, Radha, Guruvare, Shyamala, Hegde, Roopa B., Jain, Vipin, Jayaprakash, Sujith, Kalla, Mukesh, Kathiresan, V., Keerthi Chennam, Krishna, Kudva, Vidya, Lakhwani, Kamlesh, Maheswari, Uma V., Mahrishi, Mehul, Mathew, Ammu Anna, Mishra, Anoop, Mithal, Amit, Mittal, Rohit, Morwal, Sudha, Pathak, Vibhakar, Prasad, Keerthana, Qaisar, Saeed Mian, Saxena, Swati, Shanmugapriya, N., Sharma, Girish, Singh, Brij Mohan, Tripathi, Abhishek, Vivekanandan, S.
fromDe Gruyter frontiers in computational intelligence
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. …