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Rehab Aly Ibrahim Muhammed

Faculty Science - Department Mathematics Department

Scientific degrees

BSc In NULL, [2009]
MSc In NULL, [2014]
(Study of algorithms to analyze the sparse representation model)

الحالة الوظيفية الحالية :

قائم بالعمل

Academic Jobs

معيد : 24/10/2010
Doctor Assisant : 23/3/2014
Doctor : 24/11/2020

Publications

1 - Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary (2012).

2 - Opposition-based moth-flame optimization improved by differential evolution for feature selection (2019).

3 - An improved runner-root algorithm for solving feature selection problems based on rough sets and neighborhood rough sets (2019).

4 - New feature selection paradigm based on hyper-heuristic technique (2021).

5 - An improved YOLO-based road traffic monitoring system (2021).

6 - Enhanced Adaptive Neuro-Fuzzy Inference System Using Reptile Search Algorithm for Relating Swelling Potentiality Using Index Geotechnical Properties: A Case Study at El Sherouk City, Egypt (2021).

7 - An Electric Fish-Based Arithmetic Optimization Algorithm for Feature Selection (2021).

8 - Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model (2021).

9 - Boosting Atomic Orbit Search Using Dynamic-Based Learning for Feature Selection (2021).

10 - Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model (2021).

11 - Cooperative Meta-heuristic Algorithms for Global Optimization Problems (2021).

12 - Efficient artificial intelligence forecasting models for COVID-19outbreak in Russia and Brazil (2021).

13 - Automatic clustering method to segment COVID-19 CT images (2021).

14 - Fractional Calculus-Based Slime Mould Algorithm for Feature Selection Using Rough Set (2021).

15 - IoT Workflow Scheduling Using Intelligent Arithmetic Optimization Algorithm in Fog Computing (2021).

16 - Enhanced Feature Selection Based on Integration Containment Neighborhoods Rough Set Approximations and Binary Honey Badger Optimization (2022).

17 - Feature Selection Based on Modified Bio‑inspired Atomic Orbital Search Using Arithmetic Optimization and Opposite‑Based Learning (2022).

18 - Feature Selection for High Dimensional Datasets Based on Quantum-Based Dwarf Mongoose Optimization (2022).

19 - Sine Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering (2022).

20 - Quantum Chaotic Honey Badger Algorithm for Feature Selection (2022).

21 - Intrusion detection approach for cloud and IoT environments using deep learning and Capuchin Search Algorithm (2023).

22 - Optimal Skin Cancer Detection Model Using Transfer Learning and Dynamic-Opposite Hunger Games Search (2023).

23 - Boosted Barnacles Algorithm Optimizer: Comprehensive Analysis for Social IoT Applications (2023).

24 - Boosting capuchin search with stochastic learning strategy for feature selection (2023).

25 - Medical image classifications for 6G IoT-enabled smart health systems (2023).

26 - Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology (2023).

Research Area

الرياضيات