作者
Bimalkant Lauhny, Himanshu Verma, Naveen Chauhan, Lalit Kumar Awasthi
发表日期
2023/2/10
研讨会论文
2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)
页码范围
1-8
出版商
IEEE
简介
Globally, floods are the most frequently occurring catastrophic disasters that cause considerable environmental and economic damage to affected areas. In the last decade, it has affected millions of lives worldwide. India has been majorly affected by devastating floods from time to time. Recently occurring floods, especially in the hilly states of India, shocked the world and forced the authorities to consider alternatives for flood prediction systems. Here, Machine Learning (ML) can provide a better alternative. The field of ML is rapidly changing the world. Today, every person uses products and services that use ML algorithms. It is a technique that allows machines to process and learn from data by finding patterns. Currently, ML models are frequently and successfully used for prediction tasks by prominent organizations worldwide. The work presented in this paper is an effort to encourage the use of ML models for flood …
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B Lauhny, H Verma, N Chauhan, LK Awasthi - 2023 IEEE 3rd International Conference on …, 2023