Search Results - "Tikhamarine, Yazid"
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A new intelligent method for monthly streamflow prediction: hybrid wavelet support vector regression based on grey wolf optimizer (WSVR–GWO)
Published in Arabian journal of geosciences (01-09-2019)“…Forecasting daily and monthly streamflows is necessary for short- and long-term water resources management, particularly in extreme cases, e.g., flood and…”
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Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration
Published in Environmental science and pollution research international (01-08-2020)“…Accurate estimation of reference evapotranspiration (ET o ) is profoundly crucial in crop modeling, sustainable management, hydrological water simulation, and…”
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Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches
Published in Hydrological sciences journal (18-11-2019)“…In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer…”
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4
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Published in Stochastic environmental research and risk assessment (01-11-2020)“…Accurate and reliable prediction of streamflow is vital to the optimization of water resources management, reservoir flood operations, catchment, and urban…”
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Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction
Published in Meteorology and atmospheric physics (01-06-2021)“…Drought is a complex natural phenomenon, so, precise prediction of drought is an effective mitigation tool for measuring the negative consequences on…”
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Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm
Published in Environmental monitoring and assessment (01-11-2020)“…For effective planning of irrigation scheduling, water budgeting, crop simulation, and water resources management, the accurate estimation of reference…”
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Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling
Published in The Geographical journal (01-03-2023)“…Here, the capability of the Bat algorithm optimised extreme learning machines ELM (Bat‐ELM) is demonstrated for river water temperature (Tw) modelling in the…”
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Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway
Published in Applied sciences (01-08-2020)“…A spillway is a structure used to regulate the discharge flowing from hydraulic structures such as a dam. It also helps to dissipate the excess energy of water…”
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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
Published in Engineering applications of computational fluid mechanics (01-01-2021)“…Ensuring accurate estimation of evaporation is weighty for effective planning and judicious management of available water resources for agricultural practices…”
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10
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
Published in Journal of hydrology (Amsterdam) (01-03-2020)“…•Precise estimation of streamflow is required for events such as flood and drought.•Integrated AI with GWO outperform the standard AI methods.•SVR-GWO model…”
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Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms
Published in Environmental science and pollution research international (01-08-2021)“…Drought is considered one of the costliest natural disasters that result in water scarcity and crop damage almost every year. Drought monitoring and…”
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Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
Published in Journal of hydrology (Amsterdam) (01-10-2020)“…•Precise mapping to the rainfall-runoff (RR) relationship is required.•Integrated data-driven models with nature-inspired optimizers provide promising accuracy…”
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13
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
Published in Environmental science and pollution research international (01-10-2022)“…Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various…”
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