A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery. - Essam H. Houssein; Mosa E. Hosney; Diego Oliva; Waleed M. Mohamed; M. Hassaballah 001 (Comput. Chem. Eng., 2020)

Classification with Quantum Machine Learning: A Survey. - Zainab Abohashima; Mohamed Elhoseny; Essam H. Houssein; Waleed M. Mohamed (CoRR, 2020)

Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images. - Essam H. Houssein; Zainab Abohashima; Mohamed Elhoseny; Waleed M. Mohamed (CoRR, 2021)

Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems. - Essam H. Houssein; Mohamed A. Mahdy; Maude J. Blondin; Doaa Shebl; Waleed M. Mohamed (Expert Syst. Appl., 2021)

Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks. - Essam H. Houssein; Mahmoud Dirar; Kashif Hussain 001; Waleed M. Mohamed (Neural Comput. Appl., 2021)

Enhanced Harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities. - Essam H. Houssein; Nabil Neggaz; Mosa E. Hosney; Waleed M. Mohamed; M. Hassaballah 001 (Neural Comput. Appl., 2021)

An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks. - Essam H. Houssein; Zainab Abohashima; Mohamed Elhoseny; Waleed M. Mohamed (CoRR, 2022)

Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision. - Essam H. Houssein; Zainab Abohashima; Mohamed Elhoseny; Waleed M. Mohamed (Expert Syst. Appl., 2022)

An efficient slime mould algorithm for solving multi-objective optimization problems. - Essam H. Houssein; Mohamed A. Mahdy; Doaa Shebl; Awais Manzoor; Ram Sarkar; Waleed M. Mohamed (Expert Syst. Appl., 2022)

Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images. - Essam H. Houssein; Zainab Abohashima; Mohamed Elhoseny; Waleed M. Mohamed (J. Comput. Des. Eng., 2022)

An efficient equilibrium optimizer with support vector regression for stock market prediction. - Essam H. Houssein; Mahmoud Dirar; Laith Mohammad Abualigah; Waleed M. Mohamed (Neural Comput. Appl., 2022)

An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics. - Essam H. Houssein; Mosa E. Hosney; Diego Oliva; Eman M. G. Younis; Abdelmgeid A. Ali; Waleed M. Mohamed (Knowl. Based Syst., 2023)

Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. - Essam H. Houssein; Mosa E. Hosney; Waleed M. Mohamed; Abdelmgeid A. Ali; Eman M. G. Younis (Neural Comput. Appl., 2023)

Soft computing techniques for biomedical data analysis: open issues and challenges. - Essam H. Houssein; Mosa E. Hosney; Marwa M. Emam; Eman M. G. Younis; Abdelmgeid A. Ali; Waleed M. Mohamed (Artif. Intell. Rev., 2023)

Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets. - Essam H. Houssein; Mosa E. Hosney; Marwa M. Emam; Diego Oliva; Eman M. G. Younis; Abdelmgeid A. Ali; Waleed M. Mohamed (Swarm Evol. Comput., 2024)

Internet of Things in Smart Cities: Comprehensive Review, Open Issues, and Challenges. - Essam H. Houssein; Mahmoud A. Othman; Waleed M. Mohamed; Mina Younan (IEEE Internet Things J., 2024)

Enhanced sentiment classification of phone brands on Twitter with a modified walrus optimizer and novel ensemble method. - Gomaa Elmokhtar; Waleed M. Mohamed; Engy A. El-Shafeiy; Eman M. G. Younis (Neural Comput. Appl., 2025)

Optimized deep learning architecture for predicting maximum temperatures in key Egyptian regions using hybrid genetic algorithm and mountain Gazelle optimizer. - Essam H. Houssein; Mahmoud Dirar; A. A. Khalil; Abdelmaged A. Ali; Waleed M. Mohamed (Artif. Intell. Rev., 2025)