Efficient iris segmentation method in unconstrained environments. - Shaaban A. Sahmoud; Ibrahim S. I. Abuhaiba (Pattern Recognit., 2013)

A Memory-Based NSGA-II Algorithm for Dynamic Multi-objective Optimization Problems. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (EvoApplications (2), 2016)

Sensor-based change detection schemes for dynamic multi-objective optimization problems. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (SSCI, 2016)

A Type Detection Based Dynamic Multi-objective Evolutionary Algorithm. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (EvoApplications, 2018)

Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (GECCO (Companion), 2019)

Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (Appl. Soft Comput., 2019)

Characterization of changes in dynamic multi-objective optimization problems (Dinamik çok-amaçlı eniyileme problemlerindeki değişimlerin karakterizasyonu) - Shaaban A. Sahmoud (2019)

Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space. - Shaaban A. Sahmoud; Hala N. Fathee (ACIVS, 2020)

Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (CEC, 2020)

Detecting Suspicious Activities of Digital Trolls During the Political Crisis. - Shaaban A. Sahmoud; Hayder Safi (ICIoT, 2020)

A general framework based on dynamic multi-objective evolutionary algorithms for handling feature drifts on data streams. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (Future Gener. Comput. Syst., 2020)

Iris segmentation in uncooperative and unconstrained environments: State-of-the-art, datasets and future research directions. - Hala N. Fathee; Shaaban A. Sahmoud (Digit. Signal Process., 2021)

A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems. - Kalthoum Karkazan; Haluk Rahmi Topcuoglu; Shaaban A. Sahmoud (EvoApplications@EvoStar, 2023)

Dynamic multi-objective evolutionary algorithms in noisy environments. - Shaaban A. Sahmoud; Haluk Rahmi Topcuoglu (Inf. Sci., 2023)

A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems. - Kalthoum Karkazan; Haluk Rahmi Topcuoglu; Shaaban A. Sahmoud (IJCCI, 2024)

Radar placement optimization based on adaptive multi-objective meta-heuristics. - Emrah Y. Tema; Shaaban A. Sahmoud; Berna Kiraz (Expert Syst. Appl., 2024)

L2D2: A Novel LSTM Model for Multi-Class Intrusion Detection Systems in the Era of IoMT. - Gökhan Akar; Shaaban A. Sahmoud; Mustafa Onat; Ünal Çavusoglu; Emmanuel Malondo (IEEE Access, 2025)