Abualigah, Laith

Machine learning in medical applications: a review of state-of-the-art methods

Shehab, M., Abualigah, L., Shambour, Q., Abu-Hashem, M. A., Shambour, M. K. Y., Alsalibi, A. I., & Gandomi, A. H. (2022) · Computers in Biology and Medicine

Artificial Intelligence in HealthcareAI in cancer detection

Cited by 542

A novel intelligent deep learning predictive model for meteorological drought forecasting

Danandeh Mehr, A., Rikhtehgar Ghiasi, A., Yaseen, Z. M., Sorman, A. U., & Abualigah, L. (2023) · Journal of Ambient Intelligence and Humanized Computing

Hydrological Forecasting Using AIHydrology and Drought Analysis

Cited by 199

An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications

Al-Khasawneh, M. A., Uddin, I., Shah, S. A. A., Khasawneh, A. M., Abualigah, L., & Mahmoud, M. (2022) · Cluster Computing

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 54

A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks

Mughaid, A., Obeidat, I., AlZu’bi, S., Elsoud, E. A., Alnajjar, A., Alsoud, A. R., & Abualigah, L. (2023) · Multimedia Tools and Applications

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 39

Repulsion-based grey wolf optimizer with improved exploration and exploitation capabilities to localize sensor nodes in 3D wireless sensor network

Abuaddous, H. Y., Kaur, G., Jyoti, K., Mittal, N., Mahajan, S., Pandit, A. K., Alsoud, A. R., & Abualigah, L. (2023) · Soft Computing

Indoor and Outdoor Localization TechnologiesMetaheuristic Optimization Algorithms Research

Cited by 15