Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy

Jamei, Mehdi; Ali, Mumtaz; Bateni, Sayed M.; Jun, Changhyun; Karbasi, Masoud; Malik, Anurag; Jamei, Mozhdeh; Mundher Yaseen, Zaher

doi:10.1016/j.compag.2023.108609

Computers and Electronics in Agriculture

2024

DOI: 10.1016/j.compag.2023.108609

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Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy

Mehdi Jamei,

Mumtaz Ali,

Sayed M. Bateni

et al.

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Cited by 2 publications

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Expert Systems with Applications

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Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform

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Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy

Cited by 2 publications

References 81 publications

Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform

Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform

Characterizing drought prediction with deep learning: A literature review

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