Ali Najah Ahmed
Orcid: 0000-0002-5618-6663
According to our database1,
Ali Najah Ahmed
authored at least 28 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Access, 2024
2023
A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate.
Artif. Intell. Rev., November, 2023
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios.
Appl. Intell., May, 2023
Integrated nonlinear autoregressive neural network and Holt winters exponential smoothing for river streaming flow forecasting at Aswan High.
Earth Sci. Informatics, March, 2023
Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption.
IEEE Access, 2023
2022
Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain.
Sensors, 2022
Groundwater level prediction using machine learning algorithms in a drought-prone area.
Neural Comput. Appl., 2022
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method.
Comput. Geosci., 2022
A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia.
Earth Sci. Informatics, 2022
Application of Group Method of Data Handling and New Optimization Algorithms for Predicting Sediment Transport Rate under Vegetation Cover.
CoRR, 2022
Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches.
Appl. Soft Comput., 2022
2021
RBFNN versus GRNN modeling approach for sub-surface evaporation rate prediction in arid region.
Sustain. Comput. Informatics Syst., 2021
Earth Sci. Informatics, 2021
Groundwater level as an input to monthly predicting of water level using various machine learning algorithms.
Earth Sci. Informatics, 2021
The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization.
Earth Sci. Informatics, 2021
Optimization of hydropower reservoir operation based on hedging policy using Jaya algorithm.
Appl. Soft Comput., 2021
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem.
Appl. Soft Comput., 2021
Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms.
IEEE Access, 2021
Forecasting of Carbon Monoxide Concentration Based on Sequence-to-Sequence Deep Learning Approach.
Proceedings of the Advances in Visual Informatics, 2021
2020
Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm.
Soft Comput., 2020
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential.
Remote. Sens., 2020
Entropy, 2020
2019
Neural Comput. Appl., 2019
2018
Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment.
Neural Comput. Appl., 2018
RBF-NN-based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW).
Neural Comput. Appl., 2018
2014
Amplified wavelet-ANFIS-based model for GPS/INS integration to enhance vehicular navigation system.
Neural Comput. Appl., 2014
2013
Neural Comput. Appl., 2013
2012
Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation.
Neural Comput. Appl., 2012