Probabilistic and Interpretable Approach for Malaria Transmission Forecasting via ARIMA-Reference-Cited by-同舟云学术

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Probabilistic and Interpretable Approach for Malaria Transmission Forecasting via ARIMA

Published:2024-09-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS)
language:
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Author:

S Senthil Pandi¹,S Anusuya²,S M Keerthana³,N Alangudi Balaji⁴

Affiliation:

1. Rajalakshmi Engineering College,Department of CSE,Chennai,India

2. Mohamed Sathak A J College of Engineering,Department of ECE,Chennai,India

3. St. Joseph's Institute of Technology,Department of CSE,Chennai,India

4. Koneru Lakshmaiah Education Foundation,Department of CSE,Vaddeswaram,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10763531/10763546/10763833.pdf?arnumber=10763833

Reference14 articles.

1. World Malaria Report: time to acknowledge Plasmodium knowlesi malaria

2. World Malaria Report 2014

3. Navigating Public Opinion: Enhancing Sentiment Analysis on Social Media with CNN and SVM;K

4. Revolutionizing Healthcare Assessment: Deep Learning Strategies to Detect Patient Opinion on Social Media Platforms

5. Construction Project Estimation with LSTM:Materials, Costs and Timelines

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1. Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis;BMC Public Health;2025-06-10

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