| Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm Y Tikhamarine, D Souag-Gamane, AN Ahmed, O Kisi, A El-Shafie Journal of Hydrology 582, 124435, 2020 | 195 | 2020 |
| Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization Y Tikhamarine, D Souag-Gamane, AN Ahmed, SS Sammen, O Kisi, ... Journal of Hydrology 589, 125133, 2020 | 116 | 2020 |
| Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches Y Tikhamarine, A Malik, A Kumar, D Souag-Gamane, O Kisi Hydrological sciences journal 64 (15), 1824-1842, 2019 | 116 | 2019 |
| Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction A Malik, Y Tikhamarine, D Souag-Gamane, O Kisi, QB Pham Stochastic Environmental Research and Risk Assessment 34, 1755-1773, 2020 | 102 | 2020 |
| Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration Y Tikhamarine, A Malik, D Souag-Gamane, O Kisi Environmental Science and Pollution Research 27, 30001-30019, 2020 | 89 | 2020 |
| Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms A Malik, Y Tikhamarine, SS Sammen, SI Abba, S Shahid Environmental Science and Pollution Research 28, 39139-39158, 2021 | 81 | 2021 |
| A new intelligent method for monthly streamflow prediction: hybrid wavelet support vector regression based on grey wolf optimizer (WSVR–GWO) Y Tikhamarine, D Souag-Gamane, O Kisi Arabian Journal of Geosciences 12, 1-20, 2019 | 76 | 2019 |
| Enhanced artificial neural network with Harris hawks optimization for predicting scour depth downstream of ski-jump spillway SS Sammen, MA Ghorbani, A Malik, Y Tikhamarine, M AmirRahmani, ... Applied Sciences 10 (15), 5160, 2020 | 65 | 2020 |
| Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction A Malik, Y Tikhamarine, D Souag-Gamane, P Rai, SS Sammen, O Kisi Meteorology and Atmospheric Physics 133, 891-909, 2021 | 56 | 2021 |
| Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm Y Tikhamarine, A Malik, K Pandey, SS Sammen, D Souag-Gamane, ... Environmental Monitoring and Assessment 192, 1-19, 2020 | 56 | 2020 |
| Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test A Malik, Y Tikhamarine, N Al-Ansari, S Shahid, HS Sekhon, RK Pal, P Rai, ... Engineering Applications of Computational Fluid Mechanics 15 (1), 1075-1094, 2021 | 39 | 2021 |
| Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India A Malik, Y Tikhamarine, P Sihag, S Shahid, M Jamei, M Karbasi Environmental Science and Pollution Research 29 (47), 71270-71289, 2022 | 12 | 2022 |
| Bat algorithm optimised extreme learning machine (Bat‐ELM): a novel approach for Daily River water temperature modelling S Heddam, S Kim, A Danandeh Mehr, M Zounemat‐Kermani, M Ptak, ... The Geographical Journal 189 (1), 78-89, 2023 | 8 | 2023 |
| Hybrid artificial intelligence models for predicting daily runoff A Malik, A Kumar, Y Tikhamarine, D Souag-Gamane, Ö Kişi Advances in streamflow forecasting, 305-329, 2021 | 4 | 2021 |
| Support vector regression model optimized with GWO versus GA algorithms: Estimating daily pan-evaporation A Malik, Y Tikhamarine, D Souag-Gamane, SS Sammen, O Kisi Handbook of Hydroinformatics, 357-373, 2023 | 3 | 2023 |
| 119 Meteorological Drought Prediction Using Hybrid Machine Learning Models: Ant Lion Optimizer versus Multi-Verse Optimizer A Malik, Y Tikhamarine, R Ali, A Kuriqi, A Kumar Integrated Drought Management, Volume 2: Forecasting, Monitoring, and …, 2024 | | 2024 |
| Prévision des débits journaliers et mensuels par les modèles de l'intelligence artificielle Y Tikhamarine | | 2021 |
| Meteorological Drought Prediction Using Hybrid Machine Learning Models: Ant Lion Optimizer versus Multi-Verse Optimizer A Malik, Y Tikhamarine, R Ali, A Kuriqi, A Kumar Integrated Drought Management, Volume 2, 119-136, 0 | | |
| Preservationdesdebitsjournaliersetmensuelsparlesmodelesdel'intelligenceartificielle Y TIKHAMARINE Université des Sciences et de la Technologie d'Alger, Houari Boumediène, 0 | | |
Anurag MalikPunjab Agricultural UniversityVerified email at pau.edu
