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Monthly runoff forecasting based on LSTM–ALO model

Stochastic environmental research and risk assessment, 2018-08, Vol.32 (8), p.2199-2212

2018

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Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies

Acta geophysica, 2020-08, Vol.68 (4), p.1113-1126

2020

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Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data

Water (Basel), 2023-02, Vol.15 (3), p.486

2023

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Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Energies (Basel), 2019-01, Vol.12 (2), p.329

2019

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Reference Evapotranspiration Modeling Using New Heuristic Methods

Entropy (Basel, Switzerland), 2020-05, Vol.22 (5), p.547

2020

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Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree

Water (Basel), 2022-05, Vol.14 (9), p.1449

2022

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Prediction of Suspended Sediment Load Using Data-Driven Models

Water (Basel), 2019-10, Vol.11 (10), p.2060

2019

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An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility

Ecological indicators, 2023-12, Vol.156, p.111137, Article 111137

2023

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Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods

Water (Basel), 2021-12, Vol.13 (23), p.3379

2021

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Predicting Discharge Coefficient of Triangular Side Orifice Using LSSVM Optimized by Gravity Search Algorithm

Water (Basel), 2023-04, Vol.15 (7), p.1341

2023

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Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model

Water (Basel), 2023-04, Vol.15 (7), p.1437

2023

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Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm

Advances in meteorology, 2017-01, Vol.2017, p.1-23

2017

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Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models

Water (Basel), 2023-03, Vol.15 (6), p.1095

2023

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Detection of Spatial Shift in Flood Regime of the Kabul River Basin in Pakistan, Causes, Challenges, and Opportunities

Water (Basel), 2021-05, Vol.13 (9), p.1276

2021

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Application of Advanced Optimized Soft Computing Models for Atmospheric Variable Forecasting

Mathematics (Basel), 2023-03, Vol.11 (5), p.1213

2023

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Hybridized Adaptive Neuro-Fuzzy Inference System with Metaheuristic Algorithms for Modeling Monthly Pan Evaporation

Water (Basel), 2022-11, Vol.14 (21), p.3549

2022

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Predicting Water Availability in Water Bodies under the Influence of Precipitation and Water Management Actions Using VAR/VECM/LSTM

Climate (Basel), 2021-09, Vol.9 (9), p.144

2021

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Daily streamflow prediction using optimally pruned extreme learning machine

Journal of hydrology (Amsterdam), 2019-10, Vol.577, p.123981, Article 123981

2019

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Effects of ash derived from livestock manure and two other treatments on soil moisture content and water infiltration rate

Irrigation and drainage, 2022-10, Vol.71 (4), p.1024-1033

2022

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Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

Water resources management, 2018-11, Vol.32 (14), p.4469-4486

2018

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Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm

Sustainability, 2021-06, Vol.13 (11), p.5877

2021

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Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

Neural computing & applications, 2021-04, Vol.33 (7), p.2853-2871

2021

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Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs

Arabian journal of geosciences, 2019-10, Vol.12 (19), p.1-14, Article 606

2019

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Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches

Fuel (Guildford), 2024-01, Vol.355, p.129493, Article 129493

2024

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Development of new machine learning model for streamflow prediction: case studies in Pakistan

Stochastic environmental research and risk assessment, 2022-04, Vol.36 (4), p.999-1033

2022

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Monthly runoff forecasting based on LSTM–ALO model

Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies

Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data

Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Reference Evapotranspiration Modeling Using New Heuristic Methods

Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree

Prediction of Suspended Sediment Load Using Data-Driven Models

An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility

Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods

Predicting Discharge Coefficient of Triangular Side Orifice Using LSSVM Optimized by Gravity Search Algorithm

Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model

Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm

Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models

Detection of Spatial Shift in Flood Regime of the Kabul River Basin in Pakistan, Causes, Challenges, and Opportunities

Application of Advanced Optimized Soft Computing Models for Atmospheric Variable Forecasting

Hybridized Adaptive Neuro-Fuzzy Inference System with Metaheuristic Algorithms for Modeling Monthly Pan Evaporation

Predicting Water Availability in Water Bodies under the Influence of Precipitation and Water Management Actions Using VAR/VECM/LSTM

Daily streamflow prediction using optimally pruned extreme learning machine

Effects of ash derived from livestock manure and two other treatments on soil moisture content and water infiltration rate

Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs

Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches

Development of new machine learning model for streamflow prediction: case studies in Pakistan

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