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- 2024
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Mark
Improving hydrological modelling in cold regions using satellite remote sensing and machine learning techniques
2024)(
- Thesis › Doctoral thesis (compilation)
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Mark
Bee-inspired insights : Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction
(
- Contribution to journal › Article
- 2023
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Mark
Optimizing Extreme Learning Machine for Drought Forecasting : Water Cycle vs. Bacterial Foraging
(
- Contribution to journal › Article
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Mark
Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
(
- Contribution to journal › Article
- 2022
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Mark
Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach
(
- Contribution to journal › Article
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Mark
Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region
(
- Contribution to journal › Article
- 2021
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Mark
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction
(
- Contribution to journal › Article
- 2020
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Mark
A theoretical approach for forecasting different types of drought simultaneously, using entropy theory and machine-learning methods
(
- Contribution to journal › Article