Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models

Author:

Elbeltagi Ahmed,Srivastava Aman,Ehsan Muhsan,Sharma Gitika,Yu Jiawen,Khadke Leena,Gautam Vinay Kumar,Awad Ahmed,Jinsong Deng

Publisher

Elsevier BV

Reference74 articles.

1. Development of bio-inspired-and wavelet-based hybrid models for reconnaissance drought index modeling;Ahmadi;Water Resour. Manag.,2021

2. Hydrological drought forecasting using machine learning—Gidra river case study;Almikaeel;Water,2022

3. Extended lead time accurate forecasting of palmer drought severity index using hybrid wavelet-fuzzy and machine learning techniques;Altunkaynak;J. Hydrol.,2021

4. Determining the effective of resting pool area in vertical slot fishways type 1 to pass Chinook Salmon;Baharvand;J. Civ. Environ. Eng.,2019

5. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model;Barzegar;Stoch. Environ. Res. Risk Assess.,2020

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