Work with SALIM HEDDAM | NotedSource
![]()**Salim HEDDAM** was born in Skikda, Algeria. He
received the Master degree in Agronomy-Hydraulic
engineering from the University of Batna, Algeria, in
1997, the Magister and Ph.D. degrees in Agronomy-Hydraulic
engineering from the Higher National Agronomic School,
Hydraulic department (ENSA), Algiers, Algeria, in 2006 and
2012, respectively. In 2014, He received the Accreditation
to supervise researches (HDR), from Higher National
Agronomic School, Hydraulic department. In 2006, he joined
the Department of Agronomy, University of 20 Août 1955
Skikda, as an Assistant Professor, and in 2014 became an
Associate Professor, and become a Full Professor since
2019. His current research interests include Modelling
using Artificial Intelligence Technique, Hydrology, Water
Resources Analysis Planning and management, Reservoir
Water Quality Modeling, Application of statistical methods
in Water and Environmental Resources, Environmental and
Water Quality, Hydraulic and Agronomy Environmental
Science, Ecology and Pollution Research, Hydrologic
forecasting and modelling; suspended sediment modelling;
forecasting hydrological variables such as precipitation,
streamflows, evaporation, evapotranspiration, groundwater,
lake level; and also Hydro-Informatics. He is a Reviewer
for more than 30 journals indexed in Science Citation
Index (SCI) in the fields of hydrology, irrigation, water
resources and hydro-informatics. He has authored more than
100 research articles, and 20 chapters (Web of Science
h-index = 30, Google Scholar h-index = 38; Scopus h-index
35).
https://cv.notedsource.io/me/6GRZ63NR
SALIM HEDDAM
Full professor University 20 Août 1955 SKIKDA 21000, ALGERIA
skikda
Research Expertise
Artificial Neural Network ANN
Multi-Layer Perceptron Neural Network MLPNN
Generalized Regression Neural Networks GRNN
Radial
About
![]()**Salim HEDDAM** was born in Skikda,
Algeria. He received the Master degree in
Agronomy-Hydraulic engineering from the
University of Batna, Algeria, in 1997, the
Magister and Ph.D. degrees in
Agronomy-Hydraulic engineering from the Higher
National Agronomic School, Hydraulic
department (ENSA), Algiers, Algeria, in 2006
and 2012, respectively. In 2014, He received
the Accreditation to supervise researches
(HDR), from Higher National Agronomic
School, Hydraulic department. In 2006, he
joined the Department of Agronomy, University
of 20 Août 1955 Skikda, as an Assistant
Professor, and in 2014 became an Associate
Professor, and become a Full Professor since
2019. His current research interests include
Modelling using Artificial Intelligence
Technique, Hydrology, Water Resources Analysis
Planning and management, Reservoir Water
Quality Modeling, Application of statistical
methods in Water and Environmental Resources,
Environmental and Water Quality, Hydraulic and
Agronomy Environmental Science, Ecology and
Pollution Research, Hydrologic forecasting and
modelling; suspended sediment modelling;
forecasting hydrological variables such as
precipitation, streamflows, evaporation,
evapotranspiration, groundwater, lake level;
and also Hydro-Informatics. He is a Reviewer
for more than 30 journals indexed in Science
Citation Index (SCI) in the fields of
hydrology, irrigation, water resources and
hydro-informatics. He has authored more than
100 research articles, and 20 chapters (Web of
Science h-index = 30, Google Scholar h-index =
38; Scopus h-index 35).
Publications
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
Groundwater level prediction using machine
learning models: A comprehensive review
Neurocomputing
2022
Modelling daily dissolved oxygen
concentration using least square support
vector machine, multivariate adaptive
regression splines and M5 model tree
Journal of Hydrology
2018
Rainfall Pattern Forecasting Using Novel
Hybrid Intelligent Model Based ANFIS-FFA
Water Resources Management
2017
ANFIS-based modelling for coagulant dosage
in drinking water treatment plant: a case
study
Environmental Monitoring and
Assessment
2011
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
Modeling daily reference
evapotranspiration (ET0) in the north of
Algeria using generalized regression
neural networks (GRNN) and radial basis
function neural networks (RBFNN): a
comparative study
Meteorology and Atmospheric
Physics
2012
Modeling daily water temperature for
rivers: comparison between adaptive
neuro-fuzzy inference systems and
artificial neural networks models
Environmental Science and Pollution
Research
2018
Modeling daily dissolved oxygen
concentration using modified response
surface method and artificial neural
network: a comparative study
Neural Computing and Applications
2017
The implementation of univariable
scheme-based air temperature for solar
radiation prediction: New development of
dynamic evolving neural-fuzzy inference
system model
Applied Energy
2019
Modelling of daily lake surface water
temperature from air temperature:
Extremely randomized trees (ERT) versus
Air2Water, MARS, M5Tree, RF and MLPNN
Journal of Hydrology
2020
River Water Salinity Prediction Using
Hybrid Machine Learning Models
Water
2020
Short term rainfall-runoff modelling using
several machine learning methods and a
conceptual event-based model
Stochastic Environmental Research and
Risk Assessment
2020
Predicting Effluent Biochemical Oxygen
Demand in a Wastewater Treatment Plant
Using Generalized Regression Neural
Network Based Approach: A Comparative
Study
Environmental Processes
2016
Prediction of dissolved oxygen in urban
rivers at the Three Gorges Reservoir,
China: extreme learning machines (ELM)
versus artificial neural network (ANN)
Water Quality Research Journal
2019
Estimating reference evapotranspiration
using hybrid adaptive fuzzy inferencing
coupled with heuristic algorithms
Computers and Electronics in
Agriculture
2021
Applications of Radial-Basis Function and
Generalized Regression Neural Networks for
Modeling of Coagulant Dosage in a Drinking
Water-Treatment Plant: Comparative Study
Journal of Environmental
Engineering
2011
Extreme learning machine-based prediction
of daily water temperature for rivers
Environmental Earth Sciences
2019
Modelling hourly dissolved oxygen
concentration (DO) using dynamic evolving
neural-fuzzy inference system
(DENFIS)-based approach: case study of
Klamath River at Miller Island Boat Ramp,
OR, USA
Environmental Science and Pollution
Research
2014
Modeling hourly dissolved oxygen
concentration (DO) using two different
adaptive neuro-fuzzy inference systems
(ANFIS): a comparative study
Environmental Monitoring and
Assessment
2013
Comparison of different methodologies for
rainfall–runoff modeling: machine learning
vs conceptual approach
Natural Hazards
2021
Monthly evapotranspiration estimation
using optimal climatic parameters:
efficacy of hybrid support vector
regression integrated with whale
optimization algorithm
Environmental Monitoring and
Assessment
2020
An Integrated Statistical-Machine Learning
Approach for Runoff Prediction
Sustainability
2022
Lithofacies prediction in non-cored wells
from the Sif Fatima oil field (Berkine
basin, southern Algeria): A comparative
study of multilayer perceptron neural
network and cluster analysis-based
approaches
Journal of African Earth Sciences
2020
On the implementation of a novel
data-intelligence model based on extreme
learning machine optimized by bat
algorithm for estimating daily
chlorophyll-a concentration: Case studies
of river and lake in USA
Journal of Cleaner Production
2021
Assessing the performance of a suite of
machine learning models for daily river
water temperature prediction
PeerJ
2019
Modeling wetting front redistribution of
drip irrigation systems using a new
machine learning method: Adaptive neuro-
fuzzy system improved by hybrid particle
swarm optimization – Gravity search
algorithm
Agricultural Water Management
2021
Modeling reference evapotranspiration
using a novel regression-based method:
radial basis M5 model tree
Theoretical and Applied
Climatology
2021
Modelling daily soil temperature by
hydro-meteorological data at different
depths using a novel data-intelligence
model: deep echo state network model
Artificial Intelligence Review
2020
Application of Biochar for Improving
Physical, Chemical, and Hydrological Soil
Properties: A Systematic Review
Sustainability
2022
Streamflow prediction in mountainous
region using new machine learning and data
preprocessing methods: a case study
Neural Computing and Applications
2022
Prediction of rock fragmentation due to
blasting using artificial neural network
Engineering with Computers
2010
Modeling Multistep Ahead Dissolved Oxygen
Concentration Using Improved Support
Vector Machines by a Hybrid Metaheuristic
Algorithm
Sustainability
2022
Modelling of biochemical oxygen demand
from limited water quality variable by
ANFIS using two partition methods
Water Quality Research Journal
2017
Extremely randomized tree: a new machines
learning method for predicting coagulant
dosage in drinking water treatment plant
Water Engineering Modeling and
Mathematic Tools
2021
New formulation for predicting soil
moisture content using only soil
temperature as predictor: multivariate
adaptive regression splines versus random
forest, multilayer perceptron neural
network, M5Tree, and multiple linear
regression
Water Engineering Modeling and
Mathematic Tools
2021
Machine learning-based country-level
annual air pollutants exploration using
Sentinel-5P and Google Earth Engine
Scientific Reports
2023
Prediction of daily chlorophyll-a
concentration in rivers by water quality
parameters using an efficient data-driven
model: online sequential extreme learning
machine
Acta Geophysica
2021
Modelling Reference Evapotranspiration
using a Novel Regression-based Method:
Radial basis M5 Model Tree
Unknown Venue
2021
Predicting dissolved oxygen concentration
in river using new advanced machines
learning: Long-short term memory (LSTM)
deep learning
Computers in Earth and Environmental
Sciences
2022
Bat algorithm optimised extreme learning
machine (Bat‐ELM): A novel approach for
daily river water temperature modelling
The Geographical Journal
2022
Predicting Daily Streamflow in a Cold
Climate Using a Novel Data Mining
Technique: Radial M5 Model Tree
Water
2022
A novel method for lake level prediction:
deep echo state network
Arabian Journal of Geosciences
2020
Modélisation de la dose de coagulant par
les systèmes à base d’inférence floue
(ANFIS) application à la station de
traitement des eaux de Boudouaou (Algérie)
Revue des sciences de l’eau
2012
Flood Subsidence Susceptibility Mapping
using Elastic-net Classifier: New Approach
Water Resources Management
2023
Enhancing accuracy of extreme learning
machine in predicting river flow using
improved reptile search algorithm
Stochastic Environmental Research and
Risk Assessment
2023
Daily Scale River Flow Forecasting Using
Hybrid Gradient Boosting Model with
Genetic Algorithm Optimization
Water Resources Management
2023
An Enhanced Multioperator Runge–Kutta
Algorithm for Optimizing Complex Water
Engineering Problems
Sustainability
2023
Real-time porosity prediction using
gas-while-drilling data and machine
learning with reservoir associated gas:
Case study for Hassi Messaoud field,
Algeria
Marine and Petroleum Geology
2022
Extremely randomized trees versus random
forest, group method of data handling, and
artificial neural network
Handbook of Hydroinformatics
2023
Prediction of lake water-level
fluctuations using adaptive neuro-fuzzy
inference system hybridized with
metaheuristic optimization algorithms
Applied Water Science
2022
Groundwater spring potential prediction
using a deep-learning algorithm
Acta Geophysica
2023
Observed and future shifts in climate zone
of Borneo based on CMIP6 models
Journal of Environmental
Management
2024
Sensitivity of daily reference
evapotranspiration to weather variables in
tropical savanna: a modelling framework
based on neural network
Applied Water Science
2024
Machine learning models to predict rare
earth elements distribution in Tethyan
phosphate ore deposits: Geochemical and
depositional environment implications
Geochemistry
2024
New formulation for predicting total
dissolved gas supersaturation in dam
reservoir: application of hybrid
artificial intelligence models based on
multiple signal decomposition
Artificial Intelligence Review
2024
Assessment of Hygiene Practices,
Awareness, and Water Consumption Regarding
Covid-19 Among Children in a Refugee Camp
Maternal and Child Health Journal
2023
Data driven insights for parabolic trough
solar collectors: Artificial
intelligence-based energy and exergy
performance analysis
Journal of Cleaner Production
2024
Hybrid river stage forecasting based on
machine learning with empirical mode
decomposition
Applied Water Science
2024
Evaluation of CatBoost Method for
Predicting Weekly Pan Evaporation in
Subtropical and Sub-Humid Regions
Pure and Applied Geophysics
2024
Improved prediction of monthly streamflow
in a mountainous region by
Metaheuristic-Enhanced deep learning and
machine learning models using
hydroclimatic data
Theoretical and Applied
Climatology
2023
Suspended sediment load prediction and
tree-based algorithms
Remote Sensing of Soil and Land Surface
Processes
2024
Modelling groundwater level fluctuations
by ELM merged advanced metaheuristic
algorithms using hydroclimatic data
Geocarto International
2022
Pan evaporation estimation by relevance
vector machine tuned with new
metaheuristic algorithms using limited
climatic data
Engineering Applications of
Computational Fluid Mechanics
2023
RETRACTED: Exploring Groundwater Quality
Assessment: A Geostatistical and
Integrated Water Quality Indices
Perspective
Water
2023
Development of a robust daily soil
temperature estimation in semi-arid
continental climate using meteorological
predictors based on computational
intelligent paradigms
PLOS ONE
2023
Return to Nature: Renaturisation of
Dried-Out Lakes in Poland
Resources
2023
Enhanced forecasting of multi-step ahead
daily soil temperature using advanced
hybrid vote algorithm-based tree models
Journal of Hydroinformatics
2023
Predicting biochemical oxygen demand in
wastewater treatment plant using advance
extreme learning machine optimized by Bat
algorithm
Heliyon
2023
A Century of Changes in the Surface Area
of Lakes in West Poland
Resources
2023
Evaluation of NASA POWER and ERA5-Land for
estimating tropical precipitation and
temperature extremes
Journal of Hydrology
2023
Improving the accuracy of daily solar
radiation prediction by climatic data
using an efficient hybrid deep learning
model: Long short-term memory (LSTM)
network coupled with wavelet transform
Engineering Applications of Artificial
Intelligence
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
Improving the accuracy of air relative
humidity prediction using hybrid machine
learning based on empirical mode
decomposition: a comparative study
Environmental Science and Pollution
Research
2023
Artificial intelligent systems optimized
by metaheuristic algorithms and
teleconnection indices for rainfall
modeling: The case of a humid region in
the mediterranean basin
Heliyon
2023
Integrating drilling parameters and
machine learning tools to improve
real-time porosity prediction of
multi-zone reservoirs. Case study: Rhourd
Chegga oilfield, Algeria
Geoenergy Science and Engineering
2023
Breeding success related to clutch size in
colonially nesting white stork (Ciconia ciconia) in the wetlands of
Guerbes‐Sanhadja (NE
Algeria)
African Journal of Ecology
2022
Monthly streamflow prediction using hybrid
extreme learning machine optimized by bat
algorithm: a case study of Cheliff
watershed, Algeria
Hydrological Sciences Journal
2022
Machine learning for better prediction of
seepage flow through embankment dams:
Gaussian process regression versus SVR and
RVM
Environmental Science and Pollution
Research
2023
Application of Water Quality Indices,
Machine Learning Approaches, and GIS to
Identify Groundwater Quality for
Irrigation Purposes: A Case Study of
Sahara Aquifer, Doucen Plain, Algeria
Water
2023
Bio-communal wastewater treatment plant
real-time modeling using an intelligent
meta-heuristic approach: A sustainable and
green ecosystem
Journal of Water Process
Engineering
2023
Hybrid Daily Streamflow Forecasting Based
on Variational Mode Decomposition Random
Vector Functional Link Network-Based
Ensemble Forecasting
Climate Change Impacts on Natural
Resources, Ecosystems and Agricultural
Systems
2023
Hybrid Kernel Extreme Learning
Machine-Based Empirical Wavelet Transform
for Water Quality Prediction Using Only
River Flow as Predictor
Climate Change Impacts on Natural
Resources, Ecosystems and Agricultural
Systems
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
Magnetic treatment of irrigation water and
its effect on French bean (Phaseolus vulgaris)
Water Reuse
2023
Megacities’ environmental assessment for
Iraq region using satellite image and
geo-spatial tools
Environmental Science and Pollution
Research
2022
Modelling biochemical oxygen demand using
improved neuro-fuzzy approach by marine
predators algorithm
Environmental Science and Pollution
Research
2023
Modelling coagulant dosage in drinking
water treatment plant using advance
machine learning model: Hybrid extreme
learning machine optimized by Bat
algorithm
Environmental Science and Pollution
Research
2023
Multi-step ahead soil temperature
forecasting at different depths based on
meteorological data: Integrating
resampling algorithms and machine learning
models
Pedosphere
2023
Predicting nitrate concentration in river
using advanced artificial intelligence
techniques
Water, Land, and Forest Susceptibility
and Sustainability
2023
Quantification of river total phosphorus
using integrative artificial intelligence
models
Ecological Indicators
2023
River water temperature prediction using
hybrid machine learning coupled signal
decomposition: EWT versus MODWT
Ecological Informatics
2023
Soil erosion control from trash residues
at varying land slopes under simulated
rainfall conditions
Mathematical Biosciences and
Engineering
2023
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
Cyanobacteria blue-green algae prediction
enhancement using hybrid machine
learning–based gamma test variable
selection and empirical wavelet transform
Environmental Science and Pollution
Research
2022
Pre- and post-dam river water temperature
alteration prediction using advanced
machine learning models
Environmental Science and Pollution
Research
2022
Classification of Cotton Genotypes with
Mixed Continuous and Categorical
Variables: Application of Machine Learning
Models
Sustainability
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
Predictability performance enhancement for
suspended sediment in rivers: Inspection
of newly developed hybrid adaptive
neuro-fuzzy system model
International Journal of Sediment
Research
2022
Comparison of the advanced machine
learning methods for better prediction
accuracy of solar radiation using only
temperature data: A case study
International Journal of Energy
Research
2021
A long short-term memory deep learning
approach for river water temperature
prediction
Current Trends and Advances in
Computer-Aided Intelligent Environmental
Data Engineering
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
Estimating the incubated river water
quality indicator based on machine
learning and deep learning paradigms:
BOD<sub>5</sub> Prediction
Mathematical Biosciences and
Engineering
2022
Hybrid extreme learning machine optimized
bat algorithm based on ensemble empirical
mode decomposition for modeling dissolved
oxygen in river
Water Resource Modeling and
Computational Technologies
2022
Multi-step Ahead Forecasting of River
Water Temperature Using Advance Artificial
Intelligence Models: Voting Based Extreme
Learning Machine Based on Empirical Mode
Decomposition
Computational Intelligence for Water
and Environmental Sciences
2022
Parallel Chaos Search Based Incremental
Extreme Learning Machine Based Empirical
Wavelet Transform: A New Hybrid Machine
Learning Model for River Dissolved Oxygen
Forecasting
Computational Intelligence for Water
and Environmental Sciences
2022
Prediction of index rainfall in ungauged
regions of Algeria: survey of rule-based
models using geographic predictors
Arabian Journal of Geosciences
2022
Random vector functional link network
based on variational mode decomposition
for predicting river water turbidity
Water Resource Modeling and
Computational Technologies
2022
Cumulative infiltration and infiltration
rate prediction using optimized deep
learning algorithms: A study in Western
Iran
Journal of Hydrology: Regional
Studies
2021
Suspended Sediment Modeling Using a
Heuristic Regression Method Hybridized
with Kmeans Clustering
Sustainability
2021
Entropy analysis and pattern recognition
in rainfall data, north Algeria
Theoretical and Applied
Climatology
2021
A new heuristic model for monthly
streamflow forecasting
Advances in Streamflow
Forecasting
2021
Corrigendum to “Cumulative infiltration
and infiltration rate prediction using
optimized deep learning algorithms: A
study in Western Iran” [J. Hydrol. Reg.
Stud. 35 (2021) 100825]
Journal of Hydrology: Regional
Studies
2021
Prediction of Potential Evapotranspiration
Using Temperature-Based Heuristic
Approaches
Sustainability
2020
Abundance and spatial distribution of the
structure supporting the nest of White
Stork Ciconia ciconia in Guerbes-Sanhadja
wetland eco-complex, northeastern of
Algeria
Environmental Science and Pollution
Research
2020
Kernel Extreme Learning Machine: An
Efficient Model for Estimating Daily Dew
Point Temperature Using Weather Data
Water
2020
Predicting Total Dissolved Gas
Concentration on a Daily Scale Using
Kriging Interpolation, Response Surface
Method and Artificial Neural Network: Case
Study of Columbia River Basin Dams, USA
Natural Resources Research
2019
Pan Evaporation Estimation in Uttarakhand
and Uttar Pradesh States, India: Validity
of an Integrative Data Intelligence Model
Atmosphere
2020
Modeling of Seepage Flow Through Concrete
Face Rockfill and Embankment Dams Using
Three Heuristic Artificial Intelligence
Approaches: a Comparative Study
Environmental Processes
2019
Breeding ecology of the Cattle Egret
(Bubulcus ibis) in Guerbes-Sanhadja
wetlands of Algeria
Regional Studies in Marine
Science
2020
Comparison of Evolving Connectionist
Systems (ECoS) and Neural Networks for
Modelling Daily Pan Evaporation from
Algerian Dam Reservoirs
The Handbook of Environmental
Chemistry
2020
Evolving Connectionist Systems Versus
Neuro-Fuzzy System for Estimating Total
Dissolved Gas at Forebay and Tailwater of
Dams Reservoirs
Springer Transactions in Civil and
Environmental Engineering
2020
Intelligent Data Analytics Approaches for
Predicting Dissolved Oxygen Concentration
in River: Extremely Randomized Tree Versus
Random Forest, MLPNN and MLR
Springer Transactions in Civil and
Environmental Engineering
2020
Kernel extreme learning machines (KELM): a
new approach for modeling monthly
evaporation (EP) from dams reservoirs
Physical Geography
2020
New Formulation for Predicting Daily
Reference Evapotranspiration (ET0) in the
Mediterranean Region of Algeria Country:
Optimally Pruned Extreme Learning Machine
(OPELM) Versus Online Sequential Extreme
Learning Machine (OSELM)
The Handbook of Environmental
Chemistry
2020
SVR-RSM: a hybrid heuristic method for
modeling monthly pan evaporation
Environmental Science and Pollution
Research
2019
Application of artificial intelligence to
estimate phycocyanin pigment concentration
using water quality data: a comparative
study
Applied Water Science
2019
Modelling of Maximum Daily Water
Temperature for Streams: Optimally Pruned
Extreme Learning Machine (OPELM) versus
Radial Basis Function Neural Networks
(RBFNN)
Environmental Processes
2019
Development of air–soil temperature model
using computational intelligence
paradigms: artificial neural network
versus multiple linear regression
Modeling Earth Systems and
Environment
2018
Modeling total dissolved gas (TDG)
concentration at Columbia river basin
dams: high-order response surface method
(H-RSM) vs. M5Tree, LSSVM, and MARS
Arabian Journal of Geosciences
2019
Designing a New Data Intelligence Model
for Global Solar Radiation Prediction:
Application of Multivariate Modeling
Scheme
Energies
2019
Predicting Daily Pan Evaporation (Epan)
from Dam Reservoirs in the Mediterranean
Regions of Algeria: OPELM vs OSELM
Environmental Processes
2019
The employment of polynomial chaos
expansion approach for modeling dissolved
oxygen concentration in river
Environmental Earth Sciences
2019
A hybrid model for modelling the salinity
of the Tafna River in Algeria
Journal of Water and Land
Development
2019
Evaporation modelling by heuristic
regression approaches using only
temperature data
Hydrological Sciences Journal
2019
Evolving connectionist systems (ECoSs): a
new approach for modeling daily reference
evapotranspiration (ET0)
Environmental Monitoring and
Assessment
2018
Time series forecasting of river flow
using an integrated approach of wavelet
multi-resolution analysis and evolutionary
data-driven models. A case study: Sebaou
River (Algeria)
Physical Geography
2018
Generalized Regression Neural Network
Based Approach as a New Tool for
Predicting Total Dissolved Gas (TDG)
Downstream of Spillways of Dams: a Case
Study of Columbia River Basin Dams, USA
Environmental Processes
2016
Fuzzy Neural Network (EFuNN) for Modelling
Dissolved Oxygen Concentration (DO)
Intelligent Systems Reference
Library
2016
New modelling strategy based on radial
basis function neural network (RBFNN) for
predicting dissolved oxygen concentration
using the components of the Gregorian
calendar as inputs: case study of
Clackamas River, Oregon, USA
Modeling Earth Systems and
Environment
2016
Simultaneous modelling and forecasting of
hourly dissolved oxygen concentration (DO)
using radial basis function neural network
(RBFNN) based approach: a case study from
the Klamath River, Oregon, USA
Modeling Earth Systems and
Environment
2016
Rebuttal to “Estimation of dissolved
oxygen using data-driven techniques in the
Tai Po River, Hong Kong Samira Nemati,
Mohammad Hasan Fazelifard, Ozlem Terzi and
Mohammad Ali Ghorbani. Environ Earth
Science (2015).”
Doi:10.1007/s12665-015-4450-3
Environmental Earth Sciences
2016
Multilayer perceptron neural network-based
approach for modeling phycocyanin pigment
concentrations: case study from lower
Charles River buoy, USA
Environmental Science and Pollution
Research
2016
Secchi Disk Depth Estimation from Water
Quality Parameters: Artificial Neural
Network versus Multiple Linear Regression
Models?
Environmental Processes
2016
Use of Optimally Pruned Extreme Learning
Machine (OP-ELM) in Forecasting Dissolved
Oxygen Concentration (DO) Several Hours in
Advance: a Case Study from the Klamath
River, Oregon, USA
Environmental Processes
2016
Comment on “Performance of ANFIS versus
MLP-NN dissolved oxygen prediction models
in water quality monitoring A. Najah &
A. El-Shafie & O. A. Karim & Amr
H. El-Shafie. Environ Sci Pollut Res
(2014) 21:1658-1670”
Environmental Science and Pollution
Research
2014
Estimation of Daily Reference
Evapotranspiration (ET0) in the North of
Algeria Using Adaptive Neuro-Fuzzy
Inference System (ANFIS) and Multiple
Linear Regression (MLR) Models: A
Comparative Study
Arabian Journal for Science and
Engineering
2014
Generalized regression neural network
(GRNN)-based approach for colored
dissolved organic matter (CDOM) retrieval:
case study of Connecticut River at Middle
Haddam Station, USA
Environmental Monitoring and
Assessment
2014
Generalized regression neural
network-based approach for modelling
hourly dissolved oxygen concentration in
the Upper Klamath River, Oregon, USA
Environmental Technology
2014
An evaluation of ANN methods for
estimating the lengths of hydraulic jumps
in U-shaped channel
Journal of Hydroinformatics
2012
Application of Machine Learning Technique
for Rainfall-Runoff Modelling of Highly
Dynamic Watersheds
Unknown Venue
2022
Bat algorithm optimized extreme learning
machine: A new modeling strategy for
predicting river water turbidity at the
United States
Handbook of Hydroinformatics
2023
Comparison and Estimation of Soil Wetting
Patterns Models and Soil Moisture Dynamics
under Point Source
Advances in Water Management Under
Climate Change
2023
Optimally pruned extreme learning machine:
A new nontuned machine learning model for
predicting chlorophyll concentration
Handbook of Hydroinformatics
2023
Outlier robust extreme learning machine:
Predicting river water temperature in the
absence of air temperature
Handbook of Hydroinformatics
2023
Parallel chaos search-based incremental
extreme learning machine
Handbook of Hydroinformatics
2023
Predicting Water Quality Indicators from
Conventional and Nonconventional Water
Resources in Algeria Country: Adaptive
Neuro-Fuzzy Inference Systems Versus
Artificial Neural Networks
The Handbook of Environmental
Chemistry
2019
Voting-based extreme learning machine:
Potential of linking soil moisture content
to soil temperature
Handbook of Hydroinformatics
2023
Education
ENSA ALGIERS
PhD DOCTORAT, HYDRAULICS / June, 2012
ALGIERS
Experience
University 20 Août 1955 SKIKDA 21000
Full Professor / November, 2006 — Present
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