Mohammed Qaraad

According to our database, Mohammed Qaraad authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

An optimized computational framework for non-small cell lung cancer subtype classification and biomarker discovery.

Mohammed Qaraad, Luke H. Hoeppner, Bushra Shakir, David Guinovart

Artif. Intell. Rev., February, 2026

An optimization-based framework for gene expression-based diagnostic classification of Wilms tumor.

Mohammed Qaraad, Tianshun Zhang, David Guinovart

Mach. Learn. Sci. Technol., 2026

Gene expression-based diagnosis of primary Sjögren's syndrome using a hybrid optimization algorithm with adaptive local search.

Mohammed Qaraad, Cynthia S. Crowson, David Guinovart

Biomed. Signal Process. Control., 2026

2025

Schrödinger optimizer: A quantum duality-driven metaheuristic for stochastic optimization and engineering challenges.

Nazar K. Hussein, Mohammed Qaraad, Abdelwahab M. El Najjar, M. A. Farag, Mostafa A. Elhosseini, Seyedali Mirjalili, David Guinovart

Knowl. Based Syst., 2025

2024

Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, M. A. Farag, Seyedali Mirjalili, Mostafa A. Elhosseini

Expert Syst. Appl., February, 2024

2023

Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection.

Nazar K. Hussein, Mohammed Qaraad, Souad Amjad, M. A. Farag, Saima Hassan, Seyedali Mirjalili, Mostafa A. El-Hosseini

J. Comput. Des. Eng., July, 2023

Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mahmoud Badawy, Seyedali Mirjalili, Mostafa A. Elhosseini

Comput. Electr. Eng., March, 2023

An innovative time-varying particle swarm-based Salp algorithm for intrusion detection system and large-scale global optimization problems.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Seyedali Mirjalili, Mostafa A. Elhosseini

Artif. Intell. Rev., 2023

2022

An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mostafa A. Elhosseini

Neural Comput. Appl., 2022

Large scale salp-based grey wolf optimization for feature selection and global optimization.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mostafa A. Elhosseini

Neural Comput. Appl., 2022

Addressing constrained engineering problems and feature selection with a time-based leadership salp-based algorithm with competitive learning.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mostafa A. El-Hosseini

J. Comput. Des. Eng., 2022

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Seyedali Mirjalili, Nadhir Ben Halima, Mostafa A. Elhosseini

IEEE Access, 2022

2021

Hybrid feature selection model based on relief-based algorithms and regulizer algorithms for cancer classification.

Ibrahim I. M. Manhrawy, Mohammed Qaraad, Passent Mohammed El-Kafrawy

Concurr. Comput. Pract. Exp., 2021

A Hybrid Feature Selection Optimization Model for High Dimension Data Classification.

Mohammed Qaraad, Souad Amjad, Ibrahim I. M. Manhrawy, Hanaa Fathi, Bayoumi Ali Hassan, Passent Mohammed El-Kafrawy

IEEE Access, 2021

An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data.

Passent Mohammed El-Kafrawy, Hanaa Fathi, Mohammed Qaraad, Ayda K. Kelany, Xumin Chen

IEEE Access, 2021