Rainfall Prediction Using Catboost Machine Learning Algorithm-Reference-Cited by-同舟云学术

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Rainfall Prediction Using Catboost Machine Learning Algorithm

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Prashanthi Vempaty¹,Kanakala Srinivas²,Borgaonkar Deepika¹,Babu D. Suresh³

Affiliation:

1. VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE- Data Science,Hyderabad,India

2. VNR Vignana Jyothi Institute of Engineering and Technology,Department of CSE,Hyderabad,India

3. Kakatiya Government College,Department of CSE,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10276336.pdf?arnumber=10276336

Reference16 articles.

1. Meteorological data forecast using RNN. In Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications;balluff;IGI Global,2020

2. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

3. Long-term seasonal rainfall forecasting using linear and non-linear modelling approaches: a case study for Western Australia

4. FQTSFM: A fuzzy-quantum time series forecasting model

5. Forecasting monthly precipitation using sequential modelling

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Precision Rainfall Predictions: A Daily Weather Data Approach using Machine Learning;Journal of Soft Computing Paradigm;2023-12

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