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Mahdi Moalla
Mahdi Moalla
Research Assistant, University of Louisville
Verified email at louisville.edu
Title
Cited by
Cited by
Year
Application of convolutional and recurrent neural networks for buried threat detection using ground penetrating radar data
M Moalla, H Frigui, A Karem, A Bouzid
IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7022-7034, 2020
332020
Multistage approach for automatic target detection and recognition in infrared imagery using deep learning
N Baili, M Moalla, H Frigui, AD Karem
Journal of Applied Remote Sensing 16 (4), 048505-048505, 2022
22022
Comparison of several single and multiple instance learning methods for detecting buried explosive objects using gpr data
A Karem, M Trabelsi, M Moalla, H Frigui
Detection and sensing of mines, explosive objects, and obscured targets …, 2018
22018
Developing computer vision technology to automate pitch analysis in baseball.
M Moalla
2017
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Articles 1–4