5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.HC2024
IFTT-PIN: A Self-Calibrating PIN-Entry Method
Kathryn McConkey, Talha Enes Ayranci, Mohamed Khamis +1
Personalising an interface to the needs and preferences of a user often incurs additional interaction steps. In this paper, we demonstrate a novel method that enables the personali…
q-bio.BM2016★ 5 cited
Deep learning is competing random forest in computational docking
Mohamed Khamis, Walid Gomaa, Basem Galal
Computational docking is the core process of computer-aided drug design; it aims at predicting the best orientation and conformation of a small drug molecule when bound to a target…