A Comprehensive Study of Rainfall Prediction in the Dominant Influence State of Rajasthan (India) Using an Ensemble Linear Regression Approach-Reference-Cited by-同舟云学术

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A Comprehensive Study of Rainfall Prediction in the Dominant Influence State of Rajasthan (India) Using an Ensemble Linear Regression Approach

Published:2024-03-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
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Author:

Kumar Ajay¹,Singh Jay Prakash¹,Kumar Vivek¹,Ghosh Debolina²,Patel Ashok Kumar³

Affiliation:

1. Manipal University Jaipur,Department of Computer Science & Engineering,Jaipur,India

2. Manipal University Jaipur,Department of Information Technology,Jaipur,India

3. VIT Bhopal University,Department of Computer Science & Engineering,Bhopal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10530616/10530657/10530806.pdf?arnumber=10530806

Reference22 articles.

1. A comparative evaluation of deep convolutional neural network and deep neural network-based land use/land cover classifications of mining regions using fused multi-sensor satellite data

2. Heuristic prediction of rainfall using machine learning techniques

3. Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

4. Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

5. A Comparative Assessment of Metaheuristic Optimized Extreme Learning Machine and Deep Neural Network in Multi-Step-Ahead Long-term Rainfall Prediction for All-Indian Regions

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