Iris Recognition Based on LBP and Combined LVQ Classifier - Mahmoud Y. Shams; Magdi Zakria Rashad; O. Nomir; R. M. El-Awady (CoRR, 2011)

A Vision System for Multi-View Face Recognition. - Mahmoud Y. Shams; Ahmed S. Tolba 001; S. H. Sarhan (CoRR, 2017)

Adaptive Deep Learning Vector Quantisation for Multimodal Authentication. - Mahmoud Y. Shams; S. H. Sarhan; Ahmed S. Tolba 001 (J. Inf. Hiding Multim. Signal Process., 2017)

A Management System for Servicing Multi-Organizations on Community Cloud Model in Secure Cloud Environment. - Kalka Dubey; Mahmoud Y. Shams; S. C. Sharma 001; Abdulaziz Alarifi; Mohammed Amoon; Aida A. Nasr (IEEE Access, 2019)

Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization. - Shahenda Sarhan; Aida A. Nasr; Mahmoud Y. Shams (Comput. Intell. Neurosci., 2020)

The Smart Parking Management System. - Amira A. Elsonbaty; Mahmoud Y. Shams (CoRR, 2020)

Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine. - Mahmoud Y. Shams; Amira A. Elsonbaty; Wael Z. ElSawy (CoRR, 2020)

Impact of COVID-19 Pandemic on Diet Prediction and Patient Health Based on Support Vector Machine. - Mahmoud Y. Shams; Omar M. Elzeki; Mohamed Abd Elfattah; Lobna M. Abouelmagd; Ashraf Darwish; Aboul Ella Hassanien (AMLTA, 2021)

HANA: A Healthy Artificial Nutrition Analysis model during COVID-19 pandemic. - Mahmoud Y. Shams; Omar M. Elzeki; Lobna M. Abouelmagd; Aboul Ella Hassanien; Mohamed Abd Elfattah; Hanaa Salem (Comput. Biol. Medicine, 2021)

Detection of black-hole attacks in MANET using adaboost support vector machine. - Noha A. Hikal; Mahmoud Y. Shams; Hanaa Salem; Marwa Metwally Eid (J. Intell. Fuzzy Syst., 2021)

Face retrieval system based on elastic web crawler over cloud computing. - Mohamed E. ElAraby; Mahmoud Y. Shams (Multim. Tools Appl., 2021)

A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset. - Omar M. Elzeki; Mohamed Abd Elfattah; Hanaa Salem; Aboul Ella Hassanien; Mahmoud Y. Shams (PeerJ Comput. Sci., 2021)

COVID-19: a new deep learning computer-aided model for classification. - Omar M. Elzeki; Mahmoud Y. Shams; Shahenda Sarhan; Mohamed Abd Elfattah; Aboul Ella Hassanien (PeerJ Comput. Sci., 2021)

A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources. - Mohamed E. ElAraby; Omar M. Elzeki; Mahmoud Y. Shams; Amena Mahmoud; Hanaa Salem (Biomed. Signal Process. Control., 2022)

Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms. - Abdelaziz A. Abdelhamid; El-Sayed M. El-Kenawy; Abdelhameed Ibrahim; Marwa Metwally Eid; Doaa Sami Khafaga; Amel Ali Alhussan; Seyedali Mirjalili; Nima Khodadadi; Wei Hong Lim; Mahmoud Y. Shams (IEEE Access, 2023)

Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model. - Ahmed M. Elshewey; Mahmoud Y. Shams; Zahraa Tarek; Mohamed Megahed; El-Sayed M. El-Kenawy; Mohamed A. El-dosuky (Comput. Syst. Sci. Eng., 2023)

Eye Detection-Based Deep Belief Neural Networks and Speeded-Up Robust Feature Algorithm. - Zahraa Tarek; Samaa M. Shohieb; Abd Elghaffar M. Elhady; El-Sayed M. El-Kenawy; Mahmoud Y. Shams (Comput. Syst. Sci. Eng., 2023)

Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification. - Ahmed M. Elshewey; Mahmoud Y. Shams; Nora El-Rashidy; Abd Elghaffar M. Elhady; Samaa M. Shohieb; Zahraa Tarek (Sensors, 2023)

The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study. - Esraa Hassan; Mahmoud Y. Shams; Noha A. Hikal; Samir Elmougy (Multim. Tools Appl., 2023)

Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt. - Heba Mamdouh Farghaly; Mahmoud Y. Shams; Tarek Abd El-Hafeez (Knowl. Inf. Syst., 2023)

A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction. - Mahmoud Y. Shams; El-Sayed M. El-Kenawy; Abdelhameed Ibrahim; Ahmed M. Elshewey (Biomed. Signal Process. Control., 2023)

Acoustic data detection in large-scale emergency vehicle sirens and road noise dataset. - Mahmoud Y. Shams; Tarek Abd El-Hafeez; Esraa Hassan (Expert Syst. Appl., 2024)

Water quality prediction using machine learning models based on grid search method. - Mahmoud Y. Shams; Ahmed M. Elshewey; El-Sayed M. El-Kenawy; Abdelhameed Ibrahim; Fatma M. Talaat; Zahraa Tarek (Multim. Tools Appl., 2024)

Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making. - Mahmoud Y. Shams; Samah A. Gamel; Fatma M. Talaat (Neural Comput. Appl., 2024)

Detecting COVID-19 in chest CT images based on several pre-trained models. - Esraa Hassan; Mahmoud Y. Shams; Noha A. Hikal; Samir Elmougy (Multim. Tools Appl., 2024)

An optimized capsule neural networks for tomato leaf disease classification. - Lobna M. Abouelmagd; Mahmoud Y. Shams; Hanaa Salem Marie; Aboul Ella Hassanien (EURASIP J. Image Video Process., 2024)

Optimizing poultry audio signal classification with deep learning and burn layer fusion. - Esraa Hassan; Samar Elbedwehy; Mahmoud Y. Shams; Tarek Abd El-Hafeez; Nora El-Rashidy (J. Big Data, 2024)

Enhanced dysarthria detection in cerebral palsy and ALS patients using WaveNet and CNN-BiLSTM models: A comparative study with model interpretability. - Esraa Hassan; Abeer Saber; Tarek Abd El-Hafeez; T. Medhat; Mahmoud Y. Shams (Biomed. Signal Process. Control., 2025)

Multitask multilayer-prediction model for predicting mechanical ventilation and the associated mortality rate. - Nora El-Rashidy; Zahraa Tarek; Ahmed M. Elshewey; Mahmoud Y. Shams (Neural Comput. Appl., 2025)

DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases. - Fatma M. Talaat; Mahmoud Y. Shams; Samah A. Gamel; Hanaa ZainEldin (Neural Comput. Appl., 2025)