Musa Osman

According to our database, Musa Osman authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Efficient Melanoma Detection Using Pixel Intensity-Based Masking and Intensity-Weighted Binary Cross-Entropy.

Asaad Ahmed, Guangmin Sun, Mohamed Saadeldin, Anas Bilal, Yu Li, Musa Osman, Shouki A. Ebad

Int. J. Imaging Syst. Technol., 2025

2024

HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach.

Musa Osman, Jingsha He, Nafei Zhu, Fawaz Mahiuob Mohammed Mokbal, Asaad Ahmed

J. Supercomput., December, 2024

An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach.

Musa Osman, Jingsha He, Nafei Zhu, Fawaz Mahiuob Mohammed Mokbal

Ad Hoc Networks, January, 2024

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman

Intell. Decis. Technol., 2024

2022

An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique.

Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Musa Osman, Ping Yang, Saeed H. Alsamhi

Int. Arab J. Inf. Technol., 2022

2021

ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks.

Musa Osman, Jingsha He, Fawaz Mahiuob Mohammed Mokbal, Nafei Zhu, Sirajuddin Qureshi

IEEE Access, 2021