A CNN-BiLSTM-SVR based Deep Hybrid Model for Water Quality Forecasting of the River Ganga-Reference-Cited by-同舟云学术

A CNN-BiLSTM-SVR based Deep Hybrid Model for Water Quality Forecasting of the River Ganga

Published:2021-12-19 Issue: Volume: Page:
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Container-title:2021 IEEE 18th India Council International Conference (INDICON)
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Author:

Kogekar Aishwarya Premlal¹,Nayak Rashmiranjan¹,Pati Umesh Chandra¹

Affiliation:

1. NIT Rourkela,Department of ECE,Rourkela,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9691480/9691481/09691532.pdf?arnumber=9691532

Reference30 articles.

1. Time Series based Air Pollution Forecasting using SARIMA and Prophet Model

2. Long Short-Term Memory

3. A water quality prediction method based on the multi-time scale bidirectional long shortterm memory network;zou;Environmental Science and Pollution Research,2020

4. Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach

5. Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction

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