Work with Ozgur Kisi | NotedSource
Department of Civil Engineering, University of Applied
Sciences, Lübeck, Germany
https://cv.notedsource.io/me/6XLPVGPL
Ozgur Kisi
Department of Civil Engineering, University of Applied Sciences, Lübeck, Germany
Research Expertise
Developing novel algorithms and methods towards the
innovative solution of hydrologic forecasting and
modeling
suspended sedime
Legacy Map
Full ViewPublications
Applications of hybrid wavelet–Artificial
Intelligence models in hydrology: A review
Journal of Hydrology
2014
Streamflow Forecasting Using Different
Artificial Neural Network Algorithms
Journal of Hydrologic Engineering
2007
Two hybrid Artificial Intelligence
approaches for modeling rainfall–runoff
process
Journal of Hydrology
2011
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
Hydrological Sciences Journal
2005
River Flow Modeling Using Artificial
Neural Networks
Journal of Hydrologic Engineering
2004
A wavelet-support vector machine
conjunction model for monthly streamflow
forecasting
Journal of Hydrology
2011
Flow prediction by three back propagation
techniques using k-fold partitioning of
neural network training data
Hydrology Research
2005
Long-Term Trends and Seasonality Detection
of the Observed Flow in Yangtze River
Using Mann-Kendall and Sen’s Innovative
Trend Method
Water
2019
Neural Networks and Wavelet Conjunction
Model for Intermittent Streamflow
Forecasting
Journal of Hydrologic Engineering
2009
Adaptive Neurofuzzy Computing Technique
for Evapotranspiration Estimation
Journal of Irrigation and Drainage
Engineering
2007
Wave Height and Downtime Event Forecasting
in Harbour with Complex Topography Using
Auto-Regressive and Artificial Neural
Networks Models
Journal of Korean Society of Coastal
and Ocean Engineers
2017
Multiple linear regression, multi-layer
perceptron network and adaptive
neuro-fuzzy inference system for
forecasting precipitation based on
large-scale climate signals
Hydrological Sciences Journal
2016
River Suspended Sediment Load Prediction:
Application of ANN and Wavelet Conjunction
Model
Journal of Hydrologic Engineering
2011
Modelling daily dissolved oxygen
concentration using least square support
vector machine, multivariate adaptive
regression splines and M5 model tree
Journal of Hydrology
2018
Temperature-based modeling of reference
evapotranspiration using several
artificial intelligence models:
application of different modeling
scenarios
Theoretical and Applied
Climatology
2018
Modeling monthly pan evaporation using
wavelet support vector regression and
wavelet artificial neural networks in arid
and humid climates
Engineering Applications of
Computational Fluid Mechanics
2019
Improving streamflow prediction using a
new hybrid ELM model combined with hybrid
particle swarm optimization and grey wolf
optimization
Knowledge-Based Systems
2021
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 Computing and Applications
2018
Hybrid Adaptive Neuro-Fuzzy Models for
Water Quality Index Estimation
Water Resources Management
2018
Precipitation forecasting using
classification and regression trees (CART)
model: a comparative study of different
approaches
Environmental Earth Sciences
2018
Hydrologic Alteration at the Upper and
Middle Part of the Yangtze River, China:
Towards Sustainable Water Resource
Management Under Increasing Water
Exploitation
Sustainability
2019
A comparative study of several machine
learning based non-linear regression
methods in estimating solar radiation:
Case studies of the USA and Turkey regions
Energy
2020
Modeling of Dissolved Oxygen Concentration
Using Different Neural Network Techniques
in Foundation Creek, El Paso County,
Colorado
Journal of Environmental
Engineering
2012
Estimation of monthly reference
evapotranspiration using novel hybrid
machine learning approaches
Hydrological Sciences Journal
2019
Non-tuned data intelligent model for soil
temperature estimation: A new approach
Geoderma
2018
Spatial-temporal trend analysis of
seasonal and annual rainfall (1966–2015)
using innovative trend analysis method
with significance test
Arabian Journal of Geosciences
2019
Comparison Analysis of Seepage Through
Homogenous Embankment Dams Using Physical,
Mathematical and Numerical Models
Arabian Journal for Science and
Engineering
2024
Sensitivity of daily reference
evapotranspiration to weather variables in
tropical savanna: a modelling framework
based on neural network
Applied Water Science
2024
Utilizing Hybrid Machine Learning
Techniques and Gridded Precipitation Data
for Advanced Discharge Simulation in
Under-Monitored River Basins
Hydrology
2024
An Investigation on Hydraulic Aspects of
Rectangular Labyrinth Pool and Weir
Fishway Using FLOW-3D
Arabian Journal for Science and
Engineering
2024
Comparison of improved relevance vector
machines for streamflow predictions
Journal of Forecasting
2023
Modelling groundwater level fluctuations
by ELM merged advanced metaheuristic
algorithms using hydroclimatic data
Geocarto International
2022
Optimization design of quality monitoring
network of Urmia plain using genetic
algorithm and vulnerability map
Geocarto International
2023
Quantifying Landscape Pattern–Hydrological
Process Linkage in Northwest Iran
Atmosphere
2023
Evaluating the effects of reservoir
outflow and land-use change on the
Zarrineh River basin
Hydrological Sciences Journal
2023
Estimation of Reference Evapotranspiration
in Semi-Arid Region with Limited Climatic
Inputs Using Metaheuristic Regression
Methods
Water
2023
A New Insight for Daily Solar Radiation
Prediction by Meteorological Data Using an
Advanced Artificial Intelligence
Algorithm: Deep Extreme Learning Machine
Integrated with Variational Mode
Decomposition Technique
Sustainability
2023
Modeling Significant Wave Heights for
Multiple Time Horizons Using Metaheuristic
Regression Methods
Mathematics
2023
Investigating Landfill Leachate and
Groundwater Quality Prediction Using a
Robust Integrated Artificial Intelligence
Model: Grey Wolf Metaheuristic
Optimization Algorithm and Extreme
Learning Machine
Water
2023
Improving Significant Wave Height
Prediction Using a Neuro-Fuzzy Approach
and Marine Predators Algorithm
Journal of Marine Science and
Engineering
2023
Predicting and Optimizing the Influenced
Parameters for Culvert Outlet Scouring
Utilizing Coupled FLOW 3D-Surrogate
Modeling
Iranian Journal of Science and
Technology, Transactions of Civil
Engineering
2023
Application of novel binary optimized
machine learning models for monthly
streamflow prediction
Applied Water Science
2023
Spatio-Temporal Analysis of Carbon
Sequestration in Different Ecosystems of
Iran and Its Relationship with
Agricultural Droughts
Sustainability
2023
Prediction of Sediment Yields Using a
Data-Driven Radial M5 Tree Model
Water
2023
Discussion of “Improving Prediction
Accuracy of Hydrologic Time Series by
Least-Squares Support Vector Machine Using
Decomposition Reconstruction and Swarm
Intelligence”
Journal of Hydrologic Engineering
2023
Predicting Discharge Coefficient of
Triangular Side Orifice Using LSSVM
Optimized by Gravity Search Algorithm
Water
2023
Water Quality Prediction of the Yamuna
River in India Using Hybrid Neuro-Fuzzy
Models
Water
2023
Groundwater level modeling using Augmented
Artificial Ecosystem Optimization
Journal of Hydrology
2023
Modeling Potential Evapotranspiration by
Improved Machine Learning Methods Using
Limited Climatic Data
Water
2023
Monthly streamflow prediction using hybrid
extreme learning machine optimized by bat
algorithm: a case study of Cheliff
watershed, Algeria
Hydrological Sciences Journal
2022
Water Temperature Prediction Using
Improved Deep Learning Methods through
Reptile Search Algorithm and Weighted Mean
of Vectors Optimizer
Journal of Marine Science and
Engineering
2023
Random Forest Ensemble-Based Predictions
of On-Road Vehicular Emissions and Fuel
Consumption in Developing Urban Areas
Sustainability
2023
Predicting nitrate concentration in river
using advanced artificial intelligence
techniques
Water, Land, and Forest Susceptibility
and Sustainability
2023
Water level prediction using various
machine learning algorithms: a case study
of Durian Tunggal river, Malaysia
Engineering Applications of
Computational Fluid Mechanics
2022
Advanced Hybrid Metaheuristic Machine
Learning Models Application for Reference
Crop Evapotranspiration Prediction
Agronomy
2022
Prediction of the Discharge Coefficient in
Compound Broad-Crested-Weir Gate by
Supervised Data Mining Techniques
Sustainability
2022
The viability of extended marine predators
algorithm-based artificial neural networks
for streamflow prediction
Applied Soft Computing
2022
Approximation of the Discharge Coefficient
of Radial Gates Using Metaheuristic
Regression Approaches
Sustainability
2022
Monthly Streamflow Prediction by
Metaheuristic Regression Approaches
Considering Satellite Precipitation Data
Water
2022
Hybridized Adaptive Neuro-Fuzzy Inference
System with Metaheuristic Algorithms for
Modeling Monthly Pan Evaporation
Water
2022
Advanced machine learning models
development for suspended sediment
prediction: comparative analysis study
Geocarto International
2021
Application of improved version of multi
verse optimizer algorithm for modeling
solar radiation
Energy Reports
2022
Least square support vector machine-based
variational mode decomposition: a new
hybrid model for daily river water
temperature modeling
Environmental Science and Pollution
Research
2022
Covariance Matrix Adaptation Evolution
Strategy for Improving Machine Learning
Approaches in Streamflow Prediction
Mathematics
2022
Improving accuracy of neuro fuzzy and
support vector regression for drought
modelling using grey wolf optimization
Hydrological Sciences Journal
2022
Comparative evaluation of deep learning
and machine learning in modelling pan
evaporation using limited inputs
Hydrological Sciences Journal
2022
Drought forecasting using the Prophet
model in a semi-arid climate region of
western India
Hydrological Sciences Journal
2022
The Effect of Dust Storm on Sea Surface
Temperature in the Western Basin of
Persian Gulf
Standards
2022
Predicting Daily Streamflow in a Cold
Climate Using a Novel Data Mining
Technique: Radial M5 Model Tree
Water
2022
Spatio-Temporal Analysis of Rainfall
Dynamics of 120 Years (1901–2020) Using
Innovative Trend Methodology: A Case Study
of Haryana, India
Sustainability
2022
Development of new machine learning model
for streamflow prediction: case studies in
Pakistan
Stochastic Environmental Research and
Risk Assessment
2021
Modeling Multistep Ahead Dissolved Oxygen
Concentration Using Improved Support
Vector Machines by a Hybrid Metaheuristic
Algorithm
Sustainability
2022
The potential of a novel support vector
machine trained with modified mayfly
optimization algorithm for streamflow
prediction
Hydrological Sciences Journal
2022
Bidirectional long short-term memory-based
empirical wavelet transform: A new hybrid
artificial intelligence model for robust
prediction of soil moisture content
Water Resource Modeling and
Computational Technologies
2022
Random vector functional link network
based on variational mode decomposition
for predicting river water turbidity
Water Resource Modeling and
Computational Technologies
2022
Improving Drought Modeling Using Hybrid
Random Vector Functional Link Methods
Water
2021
Modeling Multi-Objective Pareto-Optimal
Reservoir Operation Policies using
State-of-the-art Modeling Techniques
Unknown Venue
2021
Predicting Water Availability in Water
Bodies under the Influence of
Precipitation and Water Management Actions
Using VAR/VECM/LSTM
Climate
2021
Towards a Comprehensive Assessment of
Statistical versus Soft Computing Models
in Hydrology: Application to Monthly Pan
Evaporation Prediction
Water
2021
Machine Learning with Metaheuristic
Algorithms for Sustainable Water Resources
Management
Sustainability
2021
Novel Ensemble Forecasting of Streamflow
Using Locally Weighted Learning Algorithm
Sustainability
2021
Suspended Sediment Modeling Using a
Heuristic Regression Method Hybridized
with Kmeans Clustering
Sustainability
2021
Modeling monthly streamflow in mountainous
basin by MARS, GMDH-NN and DENFIS using
hydroclimatic data
Neural Computing and Applications
2020
Approaches for Optimizing the Performance
of Adaptive Neuro-Fuzzy Inference System
and Least-Squares Support Vector Machine
in Precipitation Modeling
Journal of Hydrologic Engineering
2021
Groundwater-Potential Mapping Using a
Self-Learning Bayesian Network Model: A
Comparison among Metaheuristic Algorithms
Water
2021
Comparison of different methodologies for
rainfall–runoff modeling: machine learning
vs conceptual approach
Natural Hazards
2021
Artificial intelligence models for
suspended river sediment prediction:
state-of-the art, modeling framework
appraisal, and proposed future research
directions
Engineering Applications of
Computational Fluid Mechanics
2021
Modeling the fluctuations of groundwater
level by employing ensemble deep learning
techniques
Engineering Applications of
Computational Fluid Mechanics
2021
Prediction of Potential Evapotranspiration
Using Temperature-Based Heuristic
Approaches
Sustainability
2020
Improved Water Quality Prediction with
Hybrid Wavelet-Genetic Programming Model
and Shannon Entropy
Natural Resources Research
2020
Application of Artificial Neural Networks,
Support Vector Machine and Multiple
Model-ANN to Sediment Yield Prediction
Water Resources Management
2020
A Theoretical Approach for Forecasting
Different Types of Drought Simultaneously,
Using Entropy Theory and Machine-Learning
Methods
ISPRS International Journal of
Geo-Information
2020
Bayesian Model Averaging: A Unique Model
Enhancing Forecasting Accuracy for Daily
Streamflow Based on Different Antecedent
Time Series
Sustainability
2020
Development of an indirect method for
modelling the water footprint of
electricity using wavelet transform
coupled with the random forest model
Hydrological Sciences Journal
2020
Comments on “Predicting permeability
changes with injecting CO2 in coal seams
during CO2 geological sequestration: A
comparative study among six SVM-based
hybrid models” Science of the Total
Environment, 705, 135941 (2020)
Science of The Total Environment
2020
Using the MODIS Sensor for Snow Cover
Modeling and the Assessment of Drought
Effects on Snow Cover in a Mountainous
Area
Remote Sensing
2020
Energy Loss in Skimming Flow over Cascade
Spillways: Comparison of Artificial
Intelligence-Based and Regression Methods
Applied Sciences
2020
Evaluation of the support vector machine,
random forest and geo-statistical
methodologies for predicting long-term air
temperature
ISH Journal of Hydraulic
Engineering
2018
Rainfall-runoff modelling using improved
machine learning methods: Harris hawks
optimizer vs. particle swarm optimization
Journal of Hydrology
2020
A minimalistic approach for
evapotranspiration estimation using the
Prophet model
Hydrological Sciences Journal
2020
Monthly suspended sediment load prediction
using artificial intelligence: testing of
a new random subspace method
Hydrological Sciences Journal
2020
Least square support vector machine and
multivariate adaptive regression splines
for streamflow prediction in mountainous
basin using hydro-meteorological data as
inputs
Journal of Hydrology
2020
A new wavelet conjunction approach for
estimation of relative humidity: wavelet
principal component analysis combined with
ANN
Neural Computing and Applications
2018
Pan Evaporation Estimation in Uttarakhand
and Uttar Pradesh States, India: Validity
of an Integrative Data Intelligence Model
Atmosphere
2020
Reference Evapotranspiration Modeling
Using New Heuristic Methods
Entropy
2020
Human–Environment Natural Disasters
Interconnection in China: A Review
Climate
2020
Estimating Soil Available Phosphorus
Content through Coupled
Wavelet–Data-Driven Models
Sustainability
2020
Combined Use of Graphical and Statistical
Approaches for Analyzing Historical
Precipitation Changes in the Black Sea
Region of Turkey
Water
2020
Investigation into the Effects of Climate
Change on Reference Evapotranspiration
Using the HadCM3 and LARS-WG
Water
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
Computers and Electronics in
Agriculture
2020
Improving artificial intelligence models
accuracy for monthly streamflow
forecasting using grey Wolf optimization
(GWO) algorithm
Journal of Hydrology
2020
Comprehensive assessment of 12 soft
computing approaches for modelling
reference evapotranspiration in humid
locations
Meteorological Applications
2019
Novel approaches for air temperature
prediction: A comparison of four hybrid
evolutionary fuzzy models
Meteorological Applications
2019
Drought forecasting using novel heuristic
methods in a semi-arid environment
Journal of Hydrology
2019
On the applicability of maximum overlap
discrete wavelet transform integrated with
MARS and M5 model tree for monthly pan
evaporation prediction
Agricultural and Forest
Meteorology
2019
Daily streamflow prediction using
optimally pruned extreme learning machine
Journal of Hydrology
2019
Long‐term modelling of wind speeds using
six different heuristic artificial
intelligence approaches
International Journal of
Climatology
2019
The Implementation of a Hybrid Model for
Hilly Sub-Watershed Prioritization Using
Morphometric Variables: Case Study in
India
Water
2019
Modelling reference evapotranspiration
using a new wavelet conjunction heuristic
method: Wavelet extreme learning machine
vs wavelet neural networks
Agricultural and Forest
Meteorology
2018
Quantifying hourly suspended sediment load
using data mining models: Case study of a
glacierized Andean catchment in Chile
Journal of Hydrology
2018
Stream Flow Forecasting of Poorly Gauged
Mountainous Watershed by Least Square
Support Vector Machine, Fuzzy Genetic
Algorithm and M5 Model Tree Using Climatic
Data from Nearby Station
Water Resources Management
2018
Stable alluvial channel design using
evolutionary neural networks
Journal of Hydrology
2018
Simulation of suspended sediment based on
gamma test, heuristic, and
regression-based techniques
Environmental Earth Sciences
2018
Flood Routing in River Reaches Using a
Three-Parameter Muskingum Model Coupled
with an Improved Bat Algorithm
Water
2018
Comparison of four heuristic regression
techniques in solar radiation modeling:
Kriging method vs RSM, MARS and M5 model
tree
Renewable and Sustainable Energy
Reviews
2018
Modeling groundwater fluctuations by three
different evolutionary neural network
techniques using hydroclimatic data
Natural Hazards
2017
Groundwater quality ranking for drinking
purposes, using the entropy method and the
spatial autocorrelation index
Environmental Earth Sciences
2017
A New Approach for Modeling
Sediment-Discharge Relationship: Local
Weighted Linear Regression
Water Resources Management
2016
A comparative assessment of GIS-based data
mining models and a novel ensemble model
in groundwater well potential mapping
Journal of Hydrology
2017
A new approach for simulating and
forecasting the rainfall-runoff process
within the next two months
Journal of Hydrology
2017
Applicability of Several Soft Computing
Approaches in Modeling Oxygen Transfer
Efficiency at Baffled Chutes
Journal of Irrigation and Drainage
Engineering
2017
Assessment of rainfall aggregation and
disaggregation using data-driven models
and wavelet decomposition
Hydrology Research
2016
Daily Mean Streamflow Prediction in
Perennial and Non-Perennial Rivers Using
Four Data Driven Techniques
Water Resources Management
2017
Discussion of “Estimation of Furrow
Irrigation Sediment Loss Using an
Artificial Neural Network” by Bradley A.
King, David L. Bjorneberg, Thomas J.
Trout, Luciano Mateos, Danielle F. Araujo,
and Raimundo N. Costa
Journal of Irrigation and Drainage
Engineering
2017
Discussion of “Prediction of Discharge
Capacity over Two-Cycle Labyrinth Side
Weir Using ANFIS” by M. Cihan Aydin and
Korhan Kayisli
Journal of Irrigation and Drainage
Engineering
2017
Drought forecasting in eastern Australia
using multivariate adaptive regression
spline, least square support vector
machine and M5Tree model
Atmospheric Research
2017
Erratum to: A New Approach for Modeling
Sediment-Discharge Relationship: Local
Weighted Linear Regression
Water Resources Management
2017
Estimation of dissolved oxygen by using
neural networks and neuro fuzzy computing
techniques
KSCE Journal of Civil Engineering
2016
Evaporation modelling using different
machine learning techniques
International Journal of
Climatology
2017
Extreme learning machines: a new approach
for modeling dissolved oxygen (DO)
concentration with and without water
quality variables as predictors
Environmental Science and Pollution
Research
2017
Fast convergence optimization model for
single and multi-purposes reservoirs using
hybrid algorithm
Advanced Engineering Informatics
2017
Groundwater budget forecasting, using
hybrid wavelet-ANN-GP modelling: a case
study of Azarshahr Plain, East Azerbaijan,
Iran
Hydrology Research
2016
Impact of climate change on runoff in Lake
Urmia basin, Iran
Theoretical and Applied
Climatology
2017
Improving Accuracy of River Flow
Forecasting Using LSSVR with Gravitational
Search Algorithm
Advances in Meteorology
2017
Impurity effect on clear water
evaporation: toward modelling wastewater
evaporation using ANN, ANFIS-SC and GEP
techniques
Hydrological Sciences Journal
2017
M5 model tree and Monte Carlo simulation
for efficient structural reliability
analysis
Applied Mathematical Modelling
2017
Modeling of air pollutants using least
square support vector regression,
multivariate adaptive regression spline,
and M5 model tree models
Air Quality, Atmosphere &
Health
2017
Modeling soil bulk density through a
complete data scanning procedure:
Heuristic alternatives
Journal of Hydrology
2017
Modeling soil cation exchange capacity
using soil parameters: Assessing the
heuristic models
Computers and Electronics in
Agriculture
2017
Modelling daily reference
evapotranspiration in humid locations of
South Korea using local and cross‐station
data management scenarios
International Journal of
Climatology
2016
Modified Response-Surface Method: New
Approach for Modeling Pan Evaporation
Journal of Hydrologic Engineering
2017
Modifying Hargreaves–Samani equation with
meteorological variables for estimation of
reference evapotranspiration in Turkey
Hydrology Research
2016
Pan evaporation modeling using four
different heuristic approaches
Computers and Electronics in
Agriculture
2017
Pan evaporation modeling using six
different heuristic computing methods in
different climates of China
Journal of Hydrology
2017
Pre-processing data to predict groundwater
levels using the fuzzy standardized
evapotranspiration and precipitation index
(SEPI)
Water Resources Management
2017
Prediction of diffuse photosynthetically
active radiation using different soft
computing techniques
Quarterly Journal of the Royal
Meteorological Society
2017
Prediction of solar radiation in China
using different adaptive neuro‐fuzzy
methods and M5 model tree
International Journal of
Climatology
2016
Prediction of Ultimate Strain and Strength
of FRP-Confined Concrete Cylinders Using
Soft Computing Methods
Applied Sciences
2017
Soil temperature modeling at different
depths using neuro-fuzzy, neural network,
and genetic programming techniques
Theoretical and Applied
Climatology
2016
Spatial monitoring and zoning water
quality of Sistan River in the wet and dry
years using GIS and geostatistics
Computers and Electronics in
Agriculture
2017
Trend Analysis of Maximum Hydrologic
Drought Variables Using Mann–Kendall and
Şen's Innovative Trend Method
River Research and Applications
2016
Wavelet-linear genetic programming: A new
approach for modeling monthly streamflow
Journal of Hydrology
2017
Novel Predictive Model of the Debonding
Strength for Masonry Members Retrofitted
with FRP
Applied Sciences
2016
Suspended Sediment Modeling Using
Neuro-Fuzzy Embedded Fuzzy c-Means
Clustering Technique
Water Resources Management
2016
A nonlinear modelling-based high-order
response surface method for predicting
monthly pan evaporations
Unknown Venue
2016
A new approach for modeling suspended
sediment: Evolutionary fuzzy approach
Unknown Venue
2016
Comparison of six different soft computing
methods in modeling evaporation in
different climates
Unknown Venue
2016
Application of least square support vector
machine and multivariate adaptive
regression spline models in long term
prediction of river water pollution
Journal of Hydrology
2016
Daily pan evaporation modeling using
chi-squared automatic interaction
detector, neural networks, classification
and regression tree
Computers and Electronics in
Agriculture
2016
A nonlinear mathematical modeling of daily
pan evaporation based on conjugate
gradient method
Computers and Electronics in
Agriculture
2016
An investigation on generalization ability
of artificial neural networks and M5 model
tree in modeling reference
evapotranspiration
Theoretical and Applied
Climatology
2015
Discussion of “Monthly Mean Streamflow
Prediction Based on Bat Algorithm-Support
Vector Machine” by Bing Xing, Rong Gan,
Guodong Liu, Zhongfang Liu, Jing Zhang,
and Yufeng Ren
Journal of Hydrologic Engineering
2016
Enhancing Long-Term Streamflow Forecasting
and Predicting using Periodicity Data
Component: Application of Artificial
Intelligence
Water Resources Management
2016
Evaluating the generalizability of GEP
models for estimating reference
evapotranspiration in distant humid and
arid locations
Theoretical and Applied
Climatology
2016
Evaluation of data driven models for river
suspended sediment concentration modeling
Journal of Hydrology
2016
Evaluation of peak and residual conditions
of actively confined concrete using
neuro-fuzzy and neural computing
techniques
Neural Computing and Applications
2016
Flood Hazard Mapping by Using Geographic
Information System and Hydraulic Model:
Mert River, Samsun, Turkey
Advances in Meteorology
2016
Hydrological Hazards in a Changing
Environment: Early Warning, Forecasting,
and Impact Assessment
Advances in Meteorology
2016
Joint modelling of annual maximum drought
severity and corresponding duration
Journal of Hydrology
2016
Lake Level Forecasting Using Wavelet-SVR,
Wavelet-ANFIS and Wavelet-ARMA Conjunction
Models
Water Resources Management
2015
Modeling and comparison of hourly
photosynthetically active radiation in
different ecosystems
Renewable and Sustainable Energy
Reviews
2016
Modeling reference evapotranspiration
using three different heuristic regression
approaches
Agricultural Water Management
2016
Modeling shear stress distribution in
natural small streams by soft computing
methods
Geofizika
2016
Predicting behavior of FRP-confined
concrete using neuro fuzzy, neural
network, multivariate adaptive regression
splines and M5 model tree techniques
Materials and Structures
2016
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 Computing and Applications
2016
Prediction of Water-Level in the Urmia
Lake Using the Extreme Learning Machine
Approach
Water Resources Management
2016
Reply to the comments on “Comparison of
Mann–Kendall and innovative trend method
for water quality parameters of the
Kizilirmak River, Turkey” by Kisi, O. and
Ay, M. [J. Hydrol. 513 (2014) 362–375] and
“An innovative method for trend analysis
of monthly pan evaporations” by Kisi, O.
[J. Hydrol. 527 (2015) 1123–1129]
Journal of Hydrology
2016
River Stage Forecasting Using Wavelet
Packet Decomposition and Machine Learning
Models
Water Resources Management
2016
Short-term and long-term streamflow
prediction by using 'wavelet–gene
expression' programming approach
ISH Journal of Hydraulic
Engineering
2015
Solar radiation prediction using different
techniques: model evaluation and
comparison
Renewable and Sustainable Energy
Reviews
2016
Stream-flow forecasting using extreme
learning machines: A case study in a
semi-arid region in Iraq
Journal of Hydrology
2016
Strength prediction of rotary brace damper
using MLR and MARS
Structural Engineering and
Mechanics
2016
Water temperature prediction in a
subtropical subalpine lake using soft
computing techniques
Earth Sciences Research Journal
2016
A survey of water level fluctuation
predicting in Urmia Lake using support
vector machine with firefly algorithm
Applied Mathematics and
Computation
2015
An innovative method for trend analysis of
monthly pan evaporations
Journal of Hydrology
2015
Applicability of a Fuzzy Genetic System
for Crack Diagnosis in Timoshenko Beams
Journal of Computing in Civil
Engineering
2015
Closure to “Comparison of Different
Empirical Methods for Estimating Daily
Reference Evapotranspiration in
Mediterranean Climate” by Ozgur Kisi
Journal of Irrigation and Drainage
Engineering
2015
Comparison of Different Data-Driven
Approaches for Modeling Lake Level
Fluctuations: The Case of Manyas and Tuz
Lakes (Turkey)
Water Resources Management
2015
Comparison of different methods for
developing a stage–discharge curve of the
Kizilirmak River
Journal of Flood Risk Management
2013
Corrigendum to “An innovative method for
trend analysis of monthly pan
evaporations” [J. Hydrol. 527 (2015)
1123–1129]
Journal of Hydrology
2015
Daily water level forecasting using
wavelet decomposition and artificial
intelligence techniques
Journal of Hydrology
2015
Damage detection in structural beam
elements using hybrid neuro fuzzy systems
Smart Structures and Systems
2015
DAMAGE DIAGNOSIS IN BEAM-LIKE STRUCTURES
BY ARTIFICIAL NEURAL NETWORKS
Journal of Civil Engineering and
Management
2015
Discussion of “Comparison of Wavelet-Based
ANN and Regression Models for Reservoir
Inflow Forecasting” by Krishna Budu
Journal of Hydrologic Engineering
2015
Discussion of “Evapotranspiration Modeling
Using Second-Order Neural Networks” by
Sirisha Adamala, N. S. Raghuwanshi, Ashok
Mishra, and Mukesh K. Tiwari
Journal of Hydrologic Engineering
2015
Discussion of “Improved Particle Swarm
Optimization–Based Artificial Neural
Network for Rainfall-Runoff Modeling” by
Mohsen Asadnia, Lloyd H. C. Chua, X. S.
Qin, and Amin Talei
Journal of Hydrologic Engineering
2015
Runoff Estimation by Machine Learning
Methods and Application to the Euphrates
Basin in Turkey
Journal of Hydrologic Engineering
2014
RETRACTED ARTICLE: Evaluating groundwater
level fluctuation by support vector
regression and neuro-fuzzy methods: a
comparative study
Natural Hazards
2015
Extreme Learning Machines: A new approach
for prediction of reference
evapotranspiration
Journal of Hydrology
2015
Importance of hybrid models for
forecasting of hydrological variable
Neural Computing and Applications
2015
Independent testing for assessing the
calibration of the Hargreaves–Samani
equation: New heuristic alternatives for
Iran
Computers and Electronics in
Agriculture
2015
Investigation of trend analysis of monthly
total precipitation by an innovative
method
Theoretical and Applied
Climatology
2014
Local vs. external training of neuro-fuzzy
and neural networks models for estimating
reference evapotranspiration assessed
through k-fold testing
Hydrology Research
2013
Long-term monthly evapotranspiration
modeling by several data-driven methods
without climatic data
Computers and Electronics in
Agriculture
2015
Modeling soil temperatures at different
depths by using three different neural
computing techniques
Theoretical and Applied
Climatology
2014
Modelling long‐term monthly temperatures
by several data‐driven methods using
geographical inputs
International Journal of
Climatology
2015
Modelling solar radiation reached to the
Earth using ANFIS, NN-ARX, and empirical
models (Case studies: Zahedan and Bojnurd
stations)
Journal of Atmospheric and
Solar-Terrestrial Physics
2015
Pan evaporation modeling using least
square support vector machine,
multivariate adaptive regression splines
and M5 model tree
Journal of Hydrology
2015
Plunging Flow Depth Estimation in a
Stratified Dam Reservoir Using Neuro-Fuzzy
Technique
Water Resources Management
2015
Predicting daily pan evaporation by soft
computing models with limited climatic
data
Hydrological Sciences Journal
2015
Prediction of debonding strength for
masonry elements retrofitted with FRP
composites using neuro fuzzy and neural
network approaches
Composites Part B: Engineering
2015
Prediction of long‐term monthly
precipitation using several soft computing
methods without climatic data
International Journal of
Climatology
2015
Prediction of Millers Ferry Dam Reservoir
Level in USA Using Artificial Neural
Network
Periodica Polytechnica Civil
Engineering
2015
Streamflow Forecasting and Estimation
Using Least Square Support Vector
Regression and Adaptive Neuro-Fuzzy
Embedded Fuzzy c-means Clustering
Water Resources Management
2015
Time series analysis on marine wind-wave
characteristics using chaos theory
Ocean Engineering
2015
A genetic programming technique for lake
level modeling
Hydrology Research
2013
Comparison of Mann–Kendall and innovative
trend method for water quality parameters
of the Kizilirmak River, Turkey
Journal of Hydrology
2014
Comparison of Two Different Adaptive
Neuro-Fuzzy Inference Systems in Modelling
Daily Reference Evapotranspiration
Water Resources Management
2014
Comparison of Different Empirical Methods
for Estimating Daily Reference
Evapotranspiration in Mediterranean
Climate
Journal of Irrigation and Drainage
Engineering
2014
Comparison of heuristic and empirical
approaches for estimating reference
evapotranspiration from limited inputs in
Iran
Computers and Electronics in
Agriculture
2014
Corrigendum to “Applications of hybrid
wavelet–Artificial Intelligence models in
hydrology: A review” [J. Hydrol. 514
(2014) 358–377]
Journal of Hydrology
2014
Damage detection in Timoshenko beam
structures by multilayer perceptron and
radial basis function networks
Neural Computing and Applications
2012
Determination of Mean Velocity and
Discharge in Natural Streams Using
Neuro-Fuzzy and Neural Network Approaches
Water Resources Management
2014
Determining Flow Friction Factor in
Irrigation Pipes Using Data Mining and
Artificial Intelligence Approaches
Applied Artificial Intelligence
2014
Evaluation of MLP-ANN Training Algorithms
for Modeling Soil Pore-Water Pressure
Responses to Rainfall
Journal of Hydrologic Engineering
2013
Discussion of “Simple ET0 Forms of
Penman’s Equation without Wind and/or
Humidity Data. I: Theoretical Development”
by John D. Valiantzas
Journal of Irrigation and Drainage
Engineering
2014
Estimation of Monthly Mean Reference
Evapotranspiration in Turkey
Water Resources Management
2013
Estimation of daily dew point temperature
using genetic programming and neural
networks approaches
Hydrology Research
2013
Estimation of mean monthly air
temperatures in Turkey
Computers and Electronics in
Agriculture
2014
Generalizability of Gene Expression
Programming-based approaches for
estimating daily reference
evapotranspiration in coastal stations of
Iran
Journal of Hydrology
2014
Investigation of Empirical Mode
Decomposition in Forecasting of
Hydrological Time Series
Water Resources Management
2014
Modeling dimensionless longitudinal
dispersion coefficient in natural streams
using artificial intelligence methods
KSCE Journal of Civil Engineering
2013
Modeling of Suspended Sediment
Concentration Carried in Natural Streams
Using Fuzzy Genetic Approach
Computational Intelligence Techniques
in Earth and Environmental
Sciences
2014
Modeling solar radiation of Mediterranean
region in Turkey by using fuzzy genetic
approach
Energy
2014
Modelling of chemical oxygen demand by
using ANNs, ANFIS and k-means clustering
techniques
Journal of Hydrology
2014
Prediction of long-term monthly air
temperature using geographical inputs
International Journal of
Climatology
2013
Anfis to estimate discharge capacity of
rectangular side weir
Proceedings of the Institution of Civil
Engineers - Water Management
2013
Applicability of Mamdani and Sugeno fuzzy
genetic approaches for modeling reference
evapotranspiration
Journal of Hydrology
2013
Estimating Daily Pan Evaporation Using
Different Data-Driven Methods and Lag-Time
Patterns
Water Resources Management
2013
Estimating daily reference
evapotranspiration using available and
estimated climatic data by adaptive
neuro-fuzzy inference system (ANFIS) and
artificial neural network (ANN)
Hydrology Research
2012
Estimation of dew point temperature using
neuro-fuzzy and neural network techniques
Theoretical and Applied
Climatology
2013
Evaluation of different data management
scenarios for estimating daily reference
evapotranspiration
Hydrology Research
2013
Evolutionary neural networks for monthly
pan evaporation modeling
Journal of Hydrology
2013
Fuzzy Genetic Approach for Estimating
Reference Evapotranspiration of Turkey:
Mediterranean Region
Water Resources Management
2013
Global cross-station assessment of
neuro-fuzzy models for estimating daily
reference evapotranspiration
Journal of Hydrology
2013
Least squares support vector machine for
modeling daily reference
evapotranspiration
Irrigation Science
2012
Modeling monthly pan evaporations using
fuzzy genetic approach
Journal of Hydrology
2013
Modeling of Dissolved Oxygen in River
Water Using Artificial Intelligence
Techniques
Journal of Environmental
Informatics
2013
Modeling rainfall-runoff process using
soft computing techniques
Computers & Geosciences
2013
Monthly pan evaporation modeling using
linear genetic programming
Journal of Hydrology
2013
Neuro-fuzzy and neural network techniques
for forecasting sea level in Darwin
Harbor, Australia
Computers & Geosciences
2013
Performance of radial basis and LM-feed
forward artificial neural networks for
predicting daily watershed runoff
Applied Soft Computing
2013
Predicting groundwater level fluctuations
with meteorological effect implications—A
comparative study among soft computing
techniques
Computers & Geosciences
2013
Prediction of Discharge Coefficient for
Trapezoidal Labyrinth Side Weir Using a
Neuro-Fuzzy Approach
Water Resources Management
2013
Application of Non-linear Models to
Predict Inhibition Effects of Various
Plant Hydrosols onListeria monocytogenesInoculated on Fresh-Cut Apples
Foodborne Pathogens and Disease
2012
Comparison of Gene Expression Programming
with neuro-fuzzy and neural network
computing techniques in estimating daily
incoming solar radiation in the Basque
Country (Northern Spain)
Energy Conversion and Management
2012
Daily reference evapotranspiration
modeling by using genetic programming
approach in the Basque Country (Northern
Spain)
Journal of Hydrology
2012
Estimating soil wetting patterns for drip
irrigation using genetic programming
Spanish Journal of Agricultural
Research
2012
Estimation of Daily Pan Evaporation Using
Two Different Adaptive Neuro-Fuzzy
Computing Techniques
Water Resources Management
2012
Estimation of Daily Suspended Sediment
Load by Using Wavelet Conjunction Models
Journal of Hydrologic Engineering
2012
Forecasting daily lake levels using
artificial intelligence approaches
Computers & Geosciences
2012
Forecasting daily stream flows using
artificial intelligence approaches
ISH Journal of Hydraulic
Engineering
2012
Generalized Neurofuzzy Models for
Estimating Daily Pan Evaporation Values
from Weather Data
Journal of Irrigation and Drainage
Engineering
2012
Intermittent Streamflow Forecasting by
Using Several Data Driven Techniques
Water Resources Management
2011
Investigating chaos in river stage and
discharge time series
Journal of Hydrology
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 Systems with Applications
2012
Modeling discharge–sediment relationship
using neural networks with artificial bee
colony algorithm
Journal of Hydrology
2012
Modeling discharge-suspended sediment
relationship using least square support
vector machine
Journal of Hydrology
2012
Pan Evaporation Modeling Using Neural
Computing Approach for Different Climatic
Zones
Water Resources Management
2012
Precipitation forecasting by using
wavelet-support vector machine conjunction
model
Engineering Applications of Artificial
Intelligence
2012
Prediction of fatty acid composition of
vegetable oils based on rheological
measurements using nonlinear models
European Journal of Lipid Science and
Technology
2012
Prediction of lateral outflow over
triangular labyrinth side weirs under
subcritical conditions using soft
computing approaches
Expert Systems with Applications
2012
REPLY to Discussion of “Precipitation
Forecasting Using Wavelet-Genetic
Programming and Wavelet-Neuro-Fuzzy
Conjunction Models”
Water Resources Management
2012
River Flow Estimation and Forecasting by
Using Two Different Adaptive Neuro-Fuzzy
Approaches
Water Resources Management
2012
River suspended sediment estimation by
climatic variables implication:
Comparative study among soft computing
techniques
Computers & Geosciences
2012
SVM, ANFIS, regression and climate based
models for reference evapotranspiration
modeling using limited climatic data in a
semi-arid highland environment
Journal of Hydrology
2012
Suspended sediment modeling using genetic
programming and soft computing techniques
Journal of Hydrology
2012
System dynamics simulation of soil water
resources with data support from the
Yucheng Comprehensive Experimental
Station, North China
Hydrology Research
2012
A combined generalized regression neural
network wavelet model for monthly
streamflow prediction
KSCE Journal of Civil Engineering
2011
Application of Artificial Intelligence to
Estimate Daily Pan Evaporation Using
Available and Estimated Climatic Data in
the Khozestan Province (South Western
Iran)
Journal of Irrigation and Drainage
Engineering
2011
Comparison of genetic programming with
neuro-fuzzy systems for predicting
short-term water table depth fluctuations
Computers & Geosciences
2011
Comparison of three artificial
intelligence techniques for discharge
routing
Journal of Hydrology
2011
Daily pan evaporation modeling using
linear genetic programming technique
Irrigation Science
2010
Estimation of Suspended Sediment Yield in
Natural Rivers Using Machine-coded Linear
Genetic Programming
Water Resources Management
2010
Evapotranspiration modeling using a
wavelet regression model
Irrigation Science
2010
Modeling Reference Evapotranspiration
Using Evolutionary Neural Networks
Journal of Irrigation and Drainage
Engineering
2011
Neural networks for estimation of
discharge capacity of triangular labyrinth
side-weir located on a straight channel
Expert Systems with Applications
2011
Neural networks with artificial bee colony
algorithm for modeling daily reference
evapotranspiration
Irrigation Science
2010
Performance Evaluation of ANN and ANFIS
Models for Estimating Garlic Crop
Evapotranspiration
Journal of Irrigation and Drainage
Engineering
2011
Precipitation Forecasting Using
Wavelet-Genetic Programming and
Wavelet-Neuro-Fuzzy Conjunction Models
Water Resources Management
2011
Prediction of Effect of Natural
Antioxidant Compounds on Hazelnut Oil
Oxidation by Adaptive Neuro‐Fuzzy
Inference System and Artificial Neural
Network
Journal of Food Science
2011
Prediction of Short-Term Operational Water
Levels Using an Adaptive Neuro-Fuzzy
Inference System
Journal of Waterway, Port, Coastal, and
Ocean Engineering
2011
Use of artificial neural networks for
prediction of discharge coefficient of
triangular labyrinth side weir in curved
channels
Advances in Engineering Software
2011
Wavelet Regression Model as an Alternative
to Neural Networks for River Stage
Forecasting
Water Resources Management
2010
Wavelet and neuro-fuzzy conjunction model
for streamflow forecasting
Hydrology Research
2011
A machine code-based genetic programming
for suspended sediment concentration
estimation
Advances in Engineering Software
2010
A probe into the chaotic nature of daily
streamflow time series by correlation
dimension and largest Lyapunov methods
Applied Mathematical Modelling
2010
Application of two different neural
network techniques to lateral outflow over
rectangular side weirs located on a
straight channel
Advances in Engineering Software
2010
Comment on ‘Nourani V, Mogaddam AA, Nadiri
AO. 2008. An ANN‐based model for
spatiotemporal groundwater level
forecasting.
Hydrological Processes 22:
5054–5066’
Hydrological Processes
2009
Daily suspended sediment estimation using
neuro-wavelet models
International Journal of Earth
Sciences
2009
Discussion of “Comparative Study of ANNs
versus Parametric Methods in Rainfall
Frequency Analysis” by Jianxun He and
Caterina Valeo
Journal of Hydrologic Engineering
2010
Discussion of “Daily Pan Evaporation
Modeling in a Hot and Dry Climate” by J.
Piri, S. Amin, A. Moghaddamnia, A.
Keshavarz, D. Han, and R. Remesan
Journal of Hydrologic Engineering
2010
Discussion of “Application of neural
network and adaptive neuro-fuzzy inference
systems for river flow prediction”
Hydrological Sciences Journal
2010
Evapotranspiration Modeling Using Linear
Genetic Programming Technique
Journal of Irrigation and Drainage
Engineering
2010
Frequency analyses of annual extreme
rainfall series from 5 min to 24 h
Hydrological Processes
2010
Fuzzy Genetic Approach for Modeling
Reference Evapotranspiration
Journal of Irrigation and Drainage
Engineering
2010
Predicting discharge capacity of
triangular labyrinth side weir located on
a straight channel by using an adaptive
neuro-fuzzy technique
Advances in Engineering Software
2010
Reply to comment on ‘Kişi Ö. 2009. Daily
pan evaporation modelling using
multi‐layer perceptrons and radial basis
neural networks.
Hydrological Processes 23(2):
213–223’
Hydrological Processes
2010
Reply to the Discussion of
“Evapotranspiration modelling using
support vector machines” by R. J. Abrahart
et al.
Hydrological Sciences Journal
2010
River suspended sediment concentration
modeling using a neural differential
evolution approach
Journal of Hydrology
2010
Short-term and long-term streamflow
forecasting using a wavelet and
neuro-fuzzy conjunction model
Journal of Hydrology
2010
Wavelet regression model for short-term
streamflow forecasting
Journal of Hydrology
2010
Adaptive neuro-fuzzy computing technique
for suspended sediment estimation
Advances in Engineering Software
2009
An artificial neural network model for the
prediction of critical submergence for
intake in a stratified fluid medium
Civil Engineering and Environmental
Systems
2009
Bridge afflux analysis through arched
bridge constrictions using artificial
intelligence methods
Civil Engineering and Environmental
Systems
2009
Comments on
Advances in Water Resources
2009
Comparison of two different data-driven
techniques in modeling lake level
fluctuations in Turkey
Journal of Hydrology
2009
Daily pan evaporation modelling using
multi‐layer perceptrons and radial basis
neural networks
Hydrological Processes
2008
Evapotranspiration modelling using support
vector machines / Modélisation de
l'évapotranspiration à l'aide de ‘support
vector machines’
Hydrological Sciences Journal
2009
Evolutionary fuzzy models for river
suspended sediment concentration
estimation
Journal of Hydrology
2009
Modeling monthly evaporation using two
different neural computing techniques
Irrigation Science
2009
Modeling River Stage‐Discharge
Relationships Using Different Neural
Network Computing Techniques
CLEAN – Soil, Air, Water
2009
Neural network and wavelet conjunction
model for modelling monthly level
fluctuations in Turkey
Hydrological Processes
2009
Suspended sediment concentration
estimation by an adaptive neuro-fuzzy and
neural network approaches using
hydro-meteorological data
Journal of Hydrology
2009
Wavelet regression model as an alternative
to neural networks for monthly streamflow
forecasting
Hydrological Processes
2009
A genetic programming approach to
suspended sediment modelling
Journal of Hydrology
2008
Constructing neural network sediment
estimation models using a data-driven
algorithm
Mathematics and Computers in
Simulation
2008
Initial assessment of bridge backwater
using an artificial neural network
approach
Canadian Journal of Civil
Engineering
2008
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
Hydrological Sciences Journal
2008
Predicting the compressive strength of
steel fiber added lightweight concrete
using neural network
Computational Materials Science
2008
Prediction of Hydropower Energy Using ANN
for the Feasibility of Hydropower Plant
Installation to an Existing Irrigation Dam
Water Resources Management
2007
Reply to comment on ‘Kisi O. 2007.
Evapotranspiration modelling from climatic
data using a neural computing technique.
Hydrological Processes
21:1925–1934’
Hydrological Processes
2008
River flow forecasting and estimation
using different artificial neural network
techniques
Hydrology Research
2008
Stream flow forecasting using
neuro‐wavelet technique
Hydrological Processes
2008
The potential of different ANN techniques
in evapotranspiration modelling
Hydrological Processes
2007
Comparison of different ANN techniques in
river flow prediction
Civil Engineering and Environmental
Systems
2007
Estimation of total sediment load
concentration obtained by experimental
study using artificial neural networks
Environmental Fluid Mechanics
2007
Evapotranspiration modelling from climatic
data using a neural computing technique
Hydrological Processes
2007
Suspended sediment prediction using two
different feed-forward back-propagation
algorithms
Canadian Journal of Civil
Engineering
2007
Wavelet and neuro-fuzzy conjunction model
for precipitation forecasting
Journal of Hydrology
2007
Daily pan evaporation modelling using a
neuro-fuzzy computing technique
Journal of Hydrology
2006
Evapotranspiration estimation using
feed-forward neural networks
Hydrology Research
2006
Generalized regression neural networks for
evapotranspiration modelling
Hydrological Sciences Journal
2006
Methods to improve the neural network
performance in suspended sediment
estimation
Journal of Hydrology
2006
River suspended sediment modelling using a
fuzzy logic approach
Hydrological Processes
2006
Forecasting of Reference
Evapotranspiration by Artificial Neural
Networks
Journal of Irrigation and Drainage
Engineering
2003
Estimating Actual Evapotranspiration from
Limited Climatic Data Using Neural
Computing Technique
Journal of Irrigation and Drainage
Engineering
2003
Discussion of ȁFuzzy logic model
approaches to daily pan evaporation
estimation in western Turkeyȁ
Hydrological Sciences Journal
2005
Closure to “Forecasting of Reference
Evapotranspiration by Artificial Neural
Networks” by Slavisa Trajkovic, Branimir
Todorovic, and Miomir Stankovic
Journal of Irrigation and Drainage
Engineering
2005
Daily suspended sediment modelling using a
fuzzy differential evolution approach /
Modélisation journalière des matières en
suspension par une approche d’évolution
différentielle floue
Hydrological Sciences Journal
2004
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
Hydrological Sciences Journal
2004
Ten-Stage Discrete Flood Routing for Dams
Having Gated Spillways
Journal of Hydrologic Engineering
2001
Education
Istanbul Teknik Universitesi
PhD , Civil engineering
Istanbul
Erciyes Universitesi
MSc , Civil Engineering
Kayseri
Çukurova Üniversitesi
BSc, Civil Engineering
Adana
Experience
University of Applied Sciences
Guest Professor / October, 2021 — Present
Ilia State University
Professor / 2017 — Present
Canik Basari Universitesi
Professor / 2012 — 2016
Erciyes Universitesi
Professor / 2004 — 2012
Istanbul Technical University
Research Assistant / 1999 — 2003
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