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Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models

Journal of hydroinformatics, 2021-11, Vol.23 (6), p.1395-1415

2021

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Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method

E3S web of conferences, 2024-01, Vol.489, p.4004

2024

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Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

Journal of hydrology (Amsterdam), 2019-10, Vol.577, p.123958, Article 123958

2019

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Multi-step ahead modeling of reference evapotranspiration using a multi-model approach

Journal of hydrology (Amsterdam), 2020-02, Vol.581, p.124434, Article 124434

2020

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Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa

Environmental science and pollution research international, 2023-01, Vol.30 (2), p.3621-3643

2023

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Prediction of the future impact of climate change on reference evapotranspiration in Cyprus using artificial neural network

Procedia computer science, 2017, Vol.120, p.276-283

2017

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River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

Procedia computer science, 2017, Vol.120, p.75-82

2017

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Data-Driven Techniques for Monthly Pan Evaporation Modeling in Iraq

Eurasian journal of science and engineering (Online), 2020-06, Vol.6 (1), p.104-120

2020

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Reference Evapotranspiration Modeling Using Heuristic Computing Model in Distinct Climate Stations

Eurasian journal of science and engineering (Online), 2020-06, Vol.6 (1), p.89-103

2020

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Multi-region Modeling of Daily Global Solar Radiation with Artificial Intelligence Ensemble

Natural resources research (New York, N.Y.), 2019-10, Vol.28 (4), p.1217-1238

2019

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Linear and non-linear ensemble concepts for pan evaporation modeling

Desalination and water treatment, 2023-05, Vol.293, p.67-81

2023

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New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia

Ecological informatics, 2022-09, Vol.70, p.101696, Article 101696

2022

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A novel approach for precipitation modeling using artificial intelligence-based ensemble models

Desalination and water treatment, 2024-01, Vol.317, p.100188, Article 100188

2024

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Application of artificial intelligence based and multiple regression techniques for monthly precipitation modeling in coastal and inland stations

Desalination and water treatment, 2020-02, Vol.177, p.338-349

2020

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Artificial Intelligence Based and Linear Conventional Techniques for Reference Evapotranspiration Modeling

10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019, 2019, Vol.1095, p.197-204

2019

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Monthly Prediction of Reference Evapotranspiration in Northcentral Nigeria Using Artificial Intelligence Tools: A Comparative Study

11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021, 2022, Vol.362, p.165-172

2022

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Feasibility of artificial intelligence and CROPWAT models in the estimation of uncertain combined variable using nonlinear sensitivity analysis

2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), 2021, p.1-7

2021

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Multi-state comparison of machine learning techniques in modelling reference evapotranspiration: A case study of Northeastern Nigeria

2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), 2021, p.1-6

2021

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Compatibility of Hybrid Neuro-Fuzzy Model to Predict Reference Evapotranspiration in Distinct Climate Stations

2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), 2021, p.1-6

2021

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Malaria Species in Sokoto, Northwestern Nigeria: The truth, the whole truth and nothing but the truth

Microbes and Infectious Diseases, 2023-08, Vol.4 (3), p.1059-1064

2023

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SPATIAL VARIABILITY OF SOIL HYDRAULIC PROPERTIES IN JIBIA IRRIGATION PROJECT, KATSINA STATE, NIGERIA

Natural Resources and Sustainable Development, 2022-11, Vol.12 (2), p.245-254

2022

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Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models

Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method

Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

Multi-step ahead modeling of reference evapotranspiration using a multi-model approach

Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa

Prediction of the future impact of climate change on reference evapotranspiration in Cyprus using artificial neural network

River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

Data-Driven Techniques for Monthly Pan Evaporation Modeling in Iraq

Reference Evapotranspiration Modeling Using Heuristic Computing Model in Distinct Climate Stations

Multi-region Modeling of Daily Global Solar Radiation with Artificial Intelligence Ensemble

Linear and non-linear ensemble concepts for pan evaporation modeling

New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia

A novel approach for precipitation modeling using artificial intelligence-based ensemble models

Application of artificial intelligence based and multiple regression techniques for monthly precipitation modeling in coastal and inland stations

Artificial Intelligence Based and Linear Conventional Techniques for Reference Evapotranspiration Modeling

Monthly Prediction of Reference Evapotranspiration in Northcentral Nigeria Using Artificial Intelligence Tools: A Comparative Study

Feasibility of artificial intelligence and CROPWAT models in the estimation of uncertain combined variable using nonlinear sensitivity analysis

Multi-state comparison of machine learning techniques in modelling reference evapotranspiration: A case study of Northeastern Nigeria

Compatibility of Hybrid Neuro-Fuzzy Model to Predict Reference Evapotranspiration in Distinct Climate Stations

Malaria Species in Sokoto, Northwestern Nigeria: The truth, the whole truth and nothing but the truth

SPATIAL VARIABILITY OF SOIL HYDRAULIC PROPERTIES IN JIBIA IRRIGATION PROJECT, KATSINA STATE, NIGERIA

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