Shaaban A. Sahmoud

According to our database, Shaaban A. Sahmoud authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

Radar placement optimization based on adaptive multi-objective meta-heuristics.

Emrah Y. Tema, Shaaban A. Sahmoud, Berna Kiraz

Expert Syst. Appl., 2024

A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems.

Kalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

2023

Dynamic multi-objective evolutionary algorithms in noisy environments.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Inf. Sci., July, 2023

A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems.

Kalthoum Karkazan, Haluk Rahmi Topcuoglu, Shaaban A. Sahmoud

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2021

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

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

Detecting Suspicious Activities of Digital Trolls During the Political Crisis.

Shaaban A. Sahmoud, Hayder Safi

Proceedings of the IEEE International Conference on Informatics, 2020

Memory-Assisted Dynamic Multi-Objective Evolutionary Algorithm for Feature Drift Problem.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Fast Iris Segmentation Algorithm for Visible Wavelength Images Based on Multi-color Space.

Shaaban A. Sahmoud, Hala N. Fathee

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019

Characterization of changes in dynamic multi-objective optimization problems (Dinamik çok-amaçlı eniyileme problemlerindeki değişimlerin karakterizasyonu)

Shaaban A. Sahmoud

PhD thesis, 2019

Exploiting characterization of dynamism for enhancing dynamic multi-objective evolutionary algorithms.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Appl. Soft Comput., 2019

Hybrid techniques for detecting changes in less detectable dynamic multiobjective optimization problems.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

A Type Detection Based Dynamic Multi-objective Evolutionary Algorithm.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Proceedings of the Applications of Evolutionary Computation, 2018

2016

Sensor-based change detection schemes for dynamic multi-objective optimization problems.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Memory-Based NSGA-II Algorithm for Dynamic Multi-objective Optimization Problems.

Shaaban A. Sahmoud, Haluk Rahmi Topcuoglu

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2013

Efficient iris segmentation method in unconstrained environments.

Shaaban A. Sahmoud, Ibrahim S. I. Abuhaiba

Pattern Recognit., 2013