Nadhir Al-Ansari
Orcid: 0000-0002-6790-2653
According to our database1,
Nadhir Al-Ansari
authored at least 31 papers
between 2019 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2023
Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms.
Remote. Sens., June, 2023
A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices.
Complex., 2023
2022
Development of Smart Weighing Lysimeter for Measuring Evapotranspiration and Developing Crop Coefficient for Greenhouse Chrysanthemum.
Sensors, 2022
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.
Sensors, 2022
Neurocomputing, 2022
Investigating Relationships between Runoff-Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets.
ISPRS Int. J. Geo Inf., 2022
Complex., 2022
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling.
Appl. Soft Comput., 2022
2021
A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient.
Sci. Program., 2021
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms.
Remote. Sens., 2021
IEEE Access, 2021
Emerging Technologies of Deep Learning Models Development for Pavement Temperature Prediction.
IEEE Access, 2021
Application ArcGIS on Modified-WQI Method to Evaluate Water Quality of the Euphrates River, Iraq, Using Physicochemical Parameters.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
2020
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction.
Symmetry, 2020
A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models.
Sensors, 2020
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier.
Remote. Sens., 2020
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms.
ISPRS Int. J. Geo Inf., 2020
Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application.
Complex., 2020
Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting.
Complex., 2020
Flood Detection and Susceptibility Mapping Using Sentinel-1 Time Series, Alternating Decision Trees, and Bag-ADTree Models.
Complex., 2020
A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction.
IEEE Access, 2020
Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model.
IEEE Access, 2020
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model.
IEEE Access, 2020
The Capacity of the Hybridizing Wavelet Transformation Approach With Data-Driven Models for Modeling Monthly-Scale Streamflow.
IEEE Access, 2020
Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation.
IEEE Access, 2020
Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses.
IEEE Access, 2020
2019
System Dynamics Modeling Strategy for Civil Construction Projects: The Concept of Successive Legislation Periods.
Symmetry, 2019
Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region.
IEEE Access, 2019
Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation.
IEEE Access, 2019
A Comparison Between Reconstruction Methods for Generation of Synthetic Time Series Applied to Wind Speed Simulation.
IEEE Access, 2019