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Mohamed A. Khamis

Egypt-Japan University of Science and Technology

3 papers hereh-index 9634 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SY1
  • q-bio.BM1
affiliations
  • Egypt-Japan University of Science and Technology
same name
  • Mohamed A. Khamis — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedDeep learning is competing random forest in computational docking

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2021

Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones

Ahmed B. Zaky, Mohamed A. Khamis, Walid Gomaa

Several intelligent transportation systems focus on studying the various driver behaviors for numerous objectives. This includes the ability to analyze driver actions, sensitivity,…

eess.SY2018

MARL-FWC: Optimal Coordination of Freeway Traffic Control Measures

Ahmed Fares, Walid Gomaa, Mohamed A. Khamis

The objective of this article is to optimize the overall traffic flow on freeways using multiple ramp metering controls plus its complementary Dynamic Speed Limits (DSLs). An optim…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.