Table 1 Comparative analysis.
From: Advance drought prediction through rainfall forecasting with hybrid deep learning model
Model | Hypothesis testing | Technique | Complexity |
|---|---|---|---|
Wang, X. et al.7 | ✗ | KRNN, CNN, GCN, MLP | High |
Dikshit, A. et al.1 | ✗ | LSTM | High |
Anshuka, A. et al.8 | ✗ | LSTM | High |
Maity, R. et al. 9 | ✗ | CNN | High |
Abbes, A. et al. 10 | ✗ | LSTM | High |
Vo Q. T. et. al. 11 | ✗ | LSTM-CM | High |
Moteri, M. A. A. et al. 13 | ✗ | SA-CLSTM | High |
Dikshit, A. et. al.14 | ✗ | DL, XAI | High |
Poornima S. et al.15 | ✗ | LSTM | High |
Kaur, A. et al.16 | ✗ | ANN, ANN-GA, DNN, SVM | High |
Dikshit, A et al.20 | ✗ | Attention-based model | High |
Agana, N. A et. al.23 | ✗ | Deep Belief Network | High |
Proposed approach | Granger causality test | Bi-LSTM | Low |
