Works matching AU Kisi, Ozgur
Results: 325
Effectiveness of waste-derived MIL type MOFs in removing PFOA and PFAS pollutants for environmental remediation.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-93854-0
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- Article
Effectiveness of waste-derived MIL type MOFs in removing PFOA and PFAS pollutants for environmental remediation.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-93854-0
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- Article
Food, energy, and water security sustainability; an asymmetric approach for achieving sustainable development goals.
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- Discover Sustainability, 2024, v. 5, n. 1, p. 1, doi. 10.1007/s43621-024-00557-z
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- Article
Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins.
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- Hydrology (2306-5338), 2024, v. 11, n. 4, p. 48, doi. 10.3390/hydrology11040048
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- Article
Long‐term modelling of wind speeds using six different heuristic artificial intelligence approaches.
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- International Journal of Climatology, 2019, v. 39, n. 8, p. 3543, doi. 10.1002/joc.6037
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- Article
Evaporation modelling using different machine learning techniques.
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- International Journal of Climatology, 2017, v. 37, p. 1076, doi. 10.1002/joc.5064
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- Article
Evaporation modelling using different machine learning techniques.
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- International Journal of Climatology, 2017, v. 37, p. 1076, doi. 10.1002/joc.5064
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- Article
Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios.
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- International Journal of Climatology, 2017, v. 37, n. 7, p. 3238, doi. 10.1002/joc.4911
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- Article
Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree.
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- International Journal of Climatology, 2017, v. 37, n. 3, p. 1141, doi. 10.1002/joc.4762
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- Article
Prediction of long-term monthly precipitation using several soft computing methods without climatic data.
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- International Journal of Climatology, 2015, v. 35, n. 14, p. 4139, doi. 10.1002/joc.4273
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- Article
Modelling long-term monthly temperatures by several data-driven methods using geographical inputs.
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- International Journal of Climatology, 2015, v. 35, n. 13, p. 3834, doi. 10.1002/joc.4249
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- Article
Prediction of long-term monthly air temperature using geographical inputs.
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- International Journal of Climatology, 2014, v. 34, n. 1, p. 179, doi. 10.1002/joc.3676
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- Article
Comprehensive assessment of 12 soft computing approaches for modelling reference evapotranspiration in humid locations.
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- Meteorological Applications, 2020, v. 27, n. 1, p. 1, doi. 10.1002/met.1841
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- Article
Novel approaches for air temperature prediction: A comparison of four hybrid evolutionary fuzzy models.
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- Meteorological Applications, 2020, v. 27, n. 1, p. 1, doi. 10.1002/met.1817
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- Article
Modelling long term monthly rainfall using geographical inputs: assessing heuristic and geostatistical models.
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- Meteorological Applications, 2019, v. 26, n. 4, p. 698, doi. 10.1002/met.1797
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- Article
Evaluation of several soft computing methods in monthly evapotranspiration modelling.
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- Meteorological Applications, 2018, v. 25, n. 1, p. 128, doi. 10.1002/met.1676
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- Article
Drought trends projection under future climate change scenarios for Iran region.
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- PLoS ONE, 2023, v. 18, n. 11, p. 1, doi. 10.1371/journal.pone.0290698
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An artificial neural network model for the prediction of critical submergence for intake in a stratified fluid medium.
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- Civil Engineering & Environmental Systems, 2009, v. 26, n. 4, p. 367, doi. 10.1080/10286600802200130
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- Article
Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods.
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- Civil Engineering & Environmental Systems, 2009, v. 26, n. 3, p. 279, doi. 10.1080/10286600802151804
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- Article
Comparison of different ANN techniques in river flow prediction.
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- Civil Engineering & Environmental Systems, 2007, v. 24, n. 3, p. 211, doi. 10.1080/10286600600888565
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- Article
Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data.
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- Engineering Applications of Computational Fluid Mechanics, 2023, v. 17, n. 1, p. 1, doi. 10.1080/19942060.2023.2192258
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Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia.
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- Engineering Applications of Computational Fluid Mechanics, 2022, v. 16, n. 1, p. 422, doi. 10.1080/19942060.2021.2019128
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- Article
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 1585, doi. 10.1080/19942060.2021.1984992
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- Article
Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques.
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- Engineering Applications of Computational Fluid Mechanics, 2021, v. 15, n. 1, p. 1420, doi. 10.1080/19942060.2021.1974093
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- Article
Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions.
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- Engineering Applications of Computational Fluid Mechanics, 2019, v. 13, n. 1, p. 811, doi. 10.1080/19942060.2019.1645045
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- Article
Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates.
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- Engineering Applications of Computational Fluid Mechanics, 2019, v. 13, n. 1, p. 177, doi. 10.1080/19942060.2018.1564702
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- Article
Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate.
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- Engineering Applications of Computational Fluid Mechanics, 2019, v. 13, n. 1, p. 142, doi. 10.1080/19942060.2018.1560364
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- Article
Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods.
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- Applied Sciences (2076-3417), 2017, v. 7, n. 8, p. 751, doi. 10.3390/app7080751
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- Article
Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP.
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- Applied Sciences (2076-3417), 2016, v. 6, n. 11, p. 337, doi. 10.3390/app6110337
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- Article
Rainfall modeling using two different neural networks improved by metaheuristic algorithms.
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- Environmental Sciences Europe, 2023, v. 35, n. 1, p. 1, doi. 10.1186/s12302-023-00818-0
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Correction: Drought trends projection under future climate change scenarios for Iran region.
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- 2024
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- Correction Notice
Reply to the Discussion of 'Evapotranspiration modelling using support vector machines' by R. J. Abrahart et al.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2010, v. 55, n. 8, p. 1451, doi. 10.1080/02626667.2010.529449
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Discussion of 'Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction'.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2010, v. 55, n. 8, p. 1453, doi. 10.1080/02626667.2010.527848
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Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2009, v. 54, n. 5, p. 918, doi. 10.1623/hysj.54.5.918
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- Article
Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques / Modélisation de la charge journalière en matières en suspension dans des rivières turques à l'aide de plusieurs techniques empiriques.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2008, v. 53, n. 6, p. 1270, doi. 10.1623/hysj.53.6.1270
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- Article
Generalized regression neural networks for evapotranspiration modelling.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2006, v. 51, n. 6, p. 1092, doi. 10.1623/hysj.51.6.1092
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- Article
Discussion of ȁFuzzy logic model approaches to daily pan evaporation estimation in western Turkeyȁ.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2005, v. 50, n. 4, p. N.PAG, doi. 10.1623/hysj.2005.50.4.727
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- Article
Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2005, v. 50, n. 4, p. N.PAG, doi. 10.1623/hysj.2005.50.4.683
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- Article
Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithme d’apprentissage de Levenberg-Marquardt
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2004, v. 49, n. 6, p. N.PAG, doi. 10.1623/hysj.49.6.1025.55720
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- Article
Daily suspended sediment modelling using a fuzzy differential evolution approach / Modélisation journalière des matières en suspension par une approche d’évolution différentielle floue.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2004, v. 49, n. 1, p. 183, doi. 10.1623/hysj.49.1.183.54001
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- Article
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data.
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- Stochastic Environmental Research & Risk Assessment, 2024, v. 38, n. 6, p. 2489, doi. 10.1007/s00477-024-02692-5
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- Article
Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithm.
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- Stochastic Environmental Research & Risk Assessment, 2023, v. 37, n. 8, p. 3063, doi. 10.1007/s00477-023-02435-y
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Development of new machine learning model for streamflow prediction: case studies in Pakistan.
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- Stochastic Environmental Research & Risk Assessment, 2022, v. 36, n. 4, p. 999, doi. 10.1007/s00477-021-02111-z
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- Article
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model.
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- Stochastic Environmental Research & Risk Assessment, 2021, v. 35, n. 3, p. 597, doi. 10.1007/s00477-020-01910-0
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- Article
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction.
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- Stochastic Environmental Research & Risk Assessment, 2020, v. 34, n. 11, p. 1755, doi. 10.1007/s00477-020-01874-1
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- Article
Hydrodynamics of river-channel confluence: toward modeling separation zone using GEP, MARS, M5 Tree and DENFIS techniques.
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- Stochastic Environmental Research & Risk Assessment, 2019, v. 33, n. 4-6, p. 1089, doi. 10.1007/s00477-019-01684-0
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- Article
Energy Loss in Skimming Flow over Cascade Spillways: Comparison of Artificial Intelligence-Based and Regression Methods.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 19, p. 6903, doi. 10.3390/app10196903
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Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 19, p. 4149, doi. 10.3390/app9194149
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- Article
Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation.
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- Energies (19961073), 2019, v. 12, n. 2, p. 329, doi. 10.3390/en12020329
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- Article
Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area.
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- Remote Sensing, 2020, v. 12, n. 20, p. 3437, doi. 10.3390/rs12203437
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- Article