作者
Shruti Kute, AV Shreyas Madhav, Amit Kumar Tyagi, Atharva Deshmukh
发表日期
2022/3/22
图书
Evolutionary Computing and Mobile Sustainable Networks: Proceedings of ICECMSN 2021
页码范围
399-415
出版商
Springer Singapore
简介
The rise in the application and use of IoT has made tech gadgets and gizmos smarter and interconnected than ever before. IoT has expanded in a number of fields including smart cities and homes, healthcare, finance, etc. A typical IoT device is likely to integrate computation, networking, and physical processes from embedded computational gadgets. To monitor and extract valuable existential patterns from the large volume of data that is generated, Machine Learning (ML) helps a lot by the different number of algorithms that can be developed. Typically, ML is a discipline that covers the two major fields of constructing intelligent computer systems and governing these systems. ML has progressed dramatically over the past two decades and has emerged as one of the major methods for developing computer vision systems and other pedagogies. Rapid advancements and enhancements in these fields are leading to …
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S Kute, AV Shreyas Madhav, AK Tyagi, A Deshmukh - … and Mobile Sustainable Networks: Proceedings of …, 2022