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Mohamed S. Sawah

Observed names: Mohamed Sawah, Sawah, Mohamed
ORCID: 0000-0001-9196-5796
Observed ORCID: 0000-0001-9196-5796
OpenAlex ID: A5085198226
Prediction of aerodynamic coefficients based on machine learning models
2025 · Ahmed M. Elshewey, Mohamed A. Aziz, et al. · Modeling Earth Systems and Environment · 33
Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm
2025 · Mohamed S. Sawah, Hela Elmannai, et al. · Scientific Reports · 28
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Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization
2025 · Mohamed S. Sawah, Hela Elmannai, et al. · Scientific Reports · 27
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E-RespiNet: An LLM-ELECTRA driven triple-stream CNN with feature fusion for asthma classification
2025 · Mohammed Tawfik, Islam S. Fathi, et al. · PLoS ONE · 14
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A novel feature selection-driven framework for sustainable and efficient rainfall classification using machine learning models
2025 · Mohamed S. Sawah · Unconventional Resources · 11
An accurate traffic flow prediction using long-short term memory and gated recurrent unit networks
2023 · Mohamed S. Sawah, Shereen Aly Taie, et al. · Bulletin of Electrical Engineering and Informatics · 11
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Ensemble neural network models for stability prediction and optimization of hydraulic structures considering uplift pressure and exit gradient
2026 · Elsayed Elkamhawy, Mohamed S. Sawah, et al. · Scientific Reports · 5
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An optimized EfficientNetB0 framework with CLAHE-based preprocessing for accurate multi-class chest X-ray classification
2026 · Nagwa Yaseen Hegazy, Mohamed S. Sawah · Scientific Reports · 3
Explainable Hybrid Deep Learning with EfficientNetB3–DenseNet121 Feature Fusion for Banana Leaf Spot Disease Classification
2026 · Bilal Bataineh, Ghazi Shakah, et al. · International Journal of Advances in Signal and Image Sciences · 2
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Enhancing lung cancer disease classification based on BPSO and stacked MLP with CNN model
2026 · Ahmed M. Elshewey, Ahmed M. Osman, et al. · Neural Computing and Applications · 1
Advancements in UAV-based traffic monitoring: a systematic review of deep learning and edge computing
2026 · Mohamed S. Sawah, Mohammed Tawfik, et al. · Bulletin of Electrical Engineering and Informatics · 1
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A Hybrid CNN-BiLSTM-Attention Framework for Accurate Wind Speed Forecasting in Sustainable Energy Systems
2026 · Mutasem Sh Alkhasawneh, Issa Alsmadi, et al. · Unconventional Resources
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Multistage advanced persistent threat detection and malware attribution using Mamba state space models with Kolmogorov Arnold networks
2026 · Ahmad A. M. Abushariah, Mohammed Tawfik, et al. · Scientific Reports
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An Intelligent Approach to HTTP Flood DDoS Detection Using Bayes-Entropy
2026 · Kamal Alieyan, Saad Ismail, et al. · International Journal of Advances in Soft Computing and its Applications
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Efficient Binary Intrusion Detection Using a Classifier-Aware Hybrid PSO–GA Feature Selection Framework
2026 · Kamal Alieyan, Abdalla Wasef Marashdih, et al. · International Journal of Advances in Signal and Image Sciences
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An Optimized EfficientNetB0 Framework with CLAHE-Based Preprocessing for Accurate Multi-Class Chest X-Ray Classification (DenseNet121/MobileNetV2/EfficientNetB0)
2026 · Sawah, Mohamed · Zenodo (CERN European Organization for Nuclear Research)
A Deep Learning-Based Intelligent Approach for Automated Olive Leaf Disease Detection Using the Optimized VGG16
2026 · Issam Trrad, Issa Alsmadi, et al. · Engineering Technology & Applied Science Research
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An Empirical Evaluation Of C++ Generic Programming For Reducing Code Duplication
2026 · Mohammad Bani Younes, Issa Alsmadi, et al. · International Journal of Advances in Signal and Image Sciences
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Hybrid deep learning approach for battery remaining useful life prediction using group-k-fold stacking
2026 · Ahmad Ajarmeh, Kamal Alieyan, et al. · International Journal of Data and Network Science
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An explainable hybrid deep learning framework for binary intrusion detection with 5-fold stratified cross-validation
2026 · Amjad Qtaish, Kamal Alieyan, et al. · International Journal of Data and Network Science
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Enhanced hybrid residual learning framework for robust wind turbine power prediction using machine learning
2026 · Mohammad Y. Mhawiash, Bashar S. Khassawneh, et al. · International Journal of Data and Network Science
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Works count: 22
Citation count: 136
H-index: 6
I10-index: 6
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