‪Mohamed Imam‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	14	14
h-index	2	2
i10-index	1	1

0

8

4

202320247 7

Co-authors

Karim BaïnaFull Prof. of Comp. Sc. at ENSIAS, Mohammed V Uni in Rabat, MoroccoVerified email at um5.ac.ma
Youness TabiiENSIASVerified email at ensias.um5.ac.ma
El Hassan ABDELWAHEDFull Professor - Computer Science Department, Computer Engineering Laboratory (LISI), Cadi AyyadVerified email at uca.ac.ma

Mohamed Imam

Mohamed Imam

Phd Candidate in Comp. Vision & AI at ENSIAS, Mohammed V Univ in Rabat & MAScIR

Verified email at um5.ac.ma

Computer Vision Artificial Intelligence Machine Learning Deep Learning Industry4.0


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The future of mine safety: a comprehensive review of anti-collision systems based on computer vision in underground mines M Imam, K Baïna, Y Tabii, EM Ressami, Y Adlaoui, I Benzakour, ... Sensors 23 (9), 4294, 2023	11	2023
Anti-Collision System for Accident Prevention in Underground Mines using Computer Vision M Imam, K Baïna, Y Tabii, I Benzakour, Y Adlaoui, EM Ressami, ... International Conference on Advances in Artificial Intelligence, 94 - 101, 2023	3	2023

The system can't perform the operation now. Try again later.

Articles 1–2