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The last 5 uploaded publications
Machine learning in medical applications: A review of state-of-the-art methods
Mohammad Shehab, Laith Abualigah, Qusai Shambour, Muhannad A. Abu‐Hashem, Mohd Khaled Yousef Shambour, Ahmed Izzat Alsalibi, Amir Gandomi (2022). Machine learning in medical applications: A review of state-of-the-art methods. Computers in Biology and Medicine, 145, pp. 105458-105458, DOI: 10.1016/j.compbiomed.2022.105458.
Article170 days agoBlack hole algorithm: A comprehensive survey
Laith Abualigah, Mohamed Abd Elaziz, Putra Sumari, Ahmad M. Khasawneh, Mohammad Alshinwan, Seyedali Mirjalili, Mohammad Shehab, Hayfa Y. Abuaddous, Amir Gandomi (2022). Black hole algorithm: A comprehensive survey. Applied Intelligence, 52(10), pp. 11892-11915, DOI: 10.1007/s10489-021-02980-5.
Article170 days agoSix Key Enablers for Machine Type Communication in 6G
Nurul Huda Mahmood, Hirley Alves, Onel Alcaraz López, Mohammad Shehab, Diana Pamela Moya Osorio, Matti Latva-aho (2019). Six Key Enablers for Machine Type Communication in 6G. arXiv (Cornell University), DOI: 10.48550/arxiv.1903.05406.
Preprint144 days agoStatistical Tools and Methodologies for URLLC- A Tutorial
Onel Alcaraz López, Mohammad Shehab, Nurul Huda Mahmood, Hirley Alves, Osmel Martínez Rosabal, Leatile Marata, Matti Latva-aho (2022). Statistical Tools and Methodologies for URLLC- A Tutorial. , DOI: 10.36227/techrxiv.21436332.
Preprint144 days agoStatistical Tools and Methodologies for Ultrareliable Low-Latency Communications -- A Tutorial
Onel López, Nurul Mahmood, Mohammad Shehab, Hirley Alves, Osmel Rosabal, Leatile Marata, Matti Latva-aho (2022). Statistical Tools and Methodologies for Ultrareliable Low-Latency Communications -- A Tutorial. arXiv (Cornell University), DOI: 10.48550/arxiv.2212.03292.
Preprint144 days ago