Assistive technologies for individuals with disabilities are crucial in promoting social inclusion and enabling them to participate more fully in daily life. This article focuses on designing and developing a cost-effective head-mounted eye-tracking system aimed at enhancing the quality of life for individuals with sev...
Mohanad A. Deif, Hani Attar, M. Elhoseny et al.· Electrica· 0 citations
A comprehensive Machine Learning framework that employs k-Nearest Neighbors, Random Forest, Logistic Regression, and Extreme Gradient Boosting algorithms to analyze a breast cancer dataset obtained from the UCI repository underscores the potential of ML-driven approaches in enhancing breast cancer diagnostics and contr...
Hani Attar, Jafar Ababneh, Waleed Alomoush et al.· International Journal of Com...· 0 citations
A patient-level thyroid ultrasound malignancy prediction framework centred on a Region-Aware Context-Aware Fusion (RCAF) model evaluated under a strict leakage-free protocol, with encouraging cross-domain adaptability.
Mennatallah Sherif, Eman K. Elsayed, Mohanad A. Deif· Scientific Reports· 0 citations
Combining GLCM texture analysis with ML provides a potential way of improving the precision and reliability of MV disease diagnosis, ultimately supporting efforts to enhance public health and early disease diagnosis, in alignment with global healthcare initiatives.
Hani Attar, Jafar Ababneh, Omar A. Sarhan et al.· International Journal of Com...· 0 citations
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