Özgür Kisi

Orcid: 0000-0001-7847-5872

According to our database1, Özgür Kisi authored at least 64 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Groundwater level estimation using improved deep learning and soft computing methods.
Earth Sci. Informatics, June, 2024

Predictive modeling of daily precipitation occurrence using weather data of prior days in various climates.
Earth Sci. Informatics, June, 2024

Evaluation of total dissolved solids in rivers by improved neuro fuzzy approaches using metaheuristic algorithms.
Earth Sci. Informatics, April, 2024

River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT.
Ecol. Informatics, December, 2023

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study.
Neural Comput. Appl., April, 2023

Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting.
Eng. Appl. Artif. Intell., 2023

Drought modelling by standard precipitation index (SPI) in a semi-arid climate using deep learning method: long short-term memory.
Neural Comput. Appl., 2022

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction.
Appl. Soft Comput., 2022

Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models.
Soft Comput., 2021

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data.
Neural Comput. Appl., 2021

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization.
Knowl. Based Syst., 2021

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models.
Comput. Electron. Agric., 2021

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms.
Comput. Electron. Agric., 2021

A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem.
Appl. Soft Comput., 2021

Prediction of hydraulics performance in drain envelopes using Kmeans based multivariate adaptive regression spline.
Appl. Soft Comput., 2021

Highly Accurate Prediction Model for Daily Runoff in Semi-Arid Basin Exploiting Metaheuristic Learning Algorithms.
IEEE Access, 2021

Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area.
Remote. Sens., 2020

Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods.
Neural Process. Lett., 2020

A new wavelet conjunction approach for estimation of relative humidity: wavelet principal component analysis combined with ANN.
Neural Comput. Appl., 2020

Fuzzy c-means and K-means clustering with genetic algorithm for identification of homogeneous regions of groundwater quality.
Neural Comput. Appl., 2020

Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models.
Neural Comput. Appl., 2020

A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods.
ISPRS Int. J. Geo Inf., 2020

Reference Evapotranspiration Modeling Using New Heuristic Methods.
Entropy, 2020

Application of novel data mining algorithms in prediction of discharge and end depth in trapezoidal sections.
Comput. Electron. Agric., 2020

Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes.
Comput. Electron. Agric., 2020

Monthly long-term rainfall estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP models.
Neural Comput. Appl., 2019

Optimization of energy management and conversion in the water systems based on evolutionary algorithms.
Neural Comput. Appl., 2019

RM5Tree: Radial basis M5 model tree for accurate structural reliability analysis.
Reliab. Eng. Syst. Saf., 2018

Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques.
Neural Comput. Appl., 2018

Spatial and multi-depth temporal soil temperature assessment by assimilating satellite imagery, artificial intelligence and regression based models in arid area.
Comput. Electron. Agric., 2018

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors.
Comput. Electron. Agric., 2018

Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models.
Neural Comput. Appl., 2017

Pan evaporation modeling using four different heuristic approaches.
Comput. Electron. Agric., 2017

Using soil easily measured parameters for estimating soil water capacity: Soft computing approaches.
Comput. Electron. Agric., 2017

Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models.
Comput. Electron. Agric., 2017

Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics.
Comput. Electron. Agric., 2017

Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models.
Comput. Electron. Agric., 2017

Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm.
Adv. Eng. Informatics, 2017

Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree.
Comput. Electron. Agric., 2016

A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method.
Comput. Electron. Agric., 2016

Importance of hybrid models for forecasting of hydrological variable.
Neural Comput. Appl., 2015

Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams.
J. Comput. Civ. Eng., 2015

Independent testing for assessing the calibration of the Hargreaves-Samani equation: New heuristic alternatives for Iran.
Comput. Electron. Agric., 2015

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data.
Comput. Electron. Agric., 2015

A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm.
Appl. Math. Comput., 2015

Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks.
Neural Comput. Appl., 2014

Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches.
Appl. Artif. Intell., 2014

Predicting groundwater level fluctuations with meteorological effect implications - A comparative study among soft computing techniques.
Comput. Geosci., 2013

Modeling rainfall-runoff process using soft computing techniques.
Comput. Geosci., 2013

Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia.
Comput. Geosci., 2013

Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff.
Appl. Soft Comput., 2013

Forecasting daily lake levels using artificial intelligence approaches.
Comput. Geosci., 2012

River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques.
Comput. Geosci., 2012

Modeling antimicrobial effect of different grape pomace and extracts on S. aureus and E. coli in vegetable soup using artificial neural network and fuzzy logic system.
Expert Syst. Appl., 2012

Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches.
Expert Syst. Appl., 2012

Precipitation forecasting by using wavelet-support vector machine conjunction model.
Eng. Appl. Artif. Intell., 2012

Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations.
Comput. Geosci., 2011

Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel.
Expert Syst. Appl., 2011

Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels.
Adv. Eng. Softw., 2011

A machine code-based genetic programming for suspended sediment concentration estimation.
Adv. Eng. Softw., 2010

Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique.
Adv. Eng. Softw., 2010

Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel.
Adv. Eng. Softw., 2010

Adaptive neuro-fuzzy computing technique for suspended sediment estimation.
Adv. Eng. Softw., 2009

Constructing neural network sediment estimation models using a data-driven algorithm.
Math. Comput. Simul., 2008