Employing deep learning in crisis management and decision making through prediction using time series data in Mosul Dam Northern Iraq

Autor: Khalid MK Khafaji, Bassem Ben Hamed

Publikováno v: PeerJ Computer Science, Vol 10, p e2416 (2024)

Specifically, Iraq is threatened in its second-largest northern city, Mosul, by the collapse of the Mosul Dam due to problems at the root of the dam, causing a wave of floods that will cause massive loss of life, resources, and public property. The o

Externí odkaz: https://doaj.org/article/9f62cb38aeca405c9a26a32c63d47618

Highway Vehicles’ Overtaking Classification

Autor: Hamid Shimal Aldulaimi, Bassem Ben Hamed

Publikováno v: Transport and Telecommunication Journal. 23:284-292

Highway users can apprehension to certain subjects with utilizing of Vehicular Ad-hoc Networks (VANET) applications if the rules for safe overtaking movement are violated to make the lane change maneuver between vehicles on the highway road. In our r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf6b54002be515e5cd5df2e16f09c010
https://doi.org/10.2478/ttj-2022-0023

Smart and Novel Algorithm for Highway Overtaking Classification

Autor: Hamid Shimal Aldulaimi, Bassem Ben Hamed

Publikováno v: 2022 International Symposium on Networks, Computers and Communications (ISNCC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0c9ae2e6743a65803fd26ad4aac30a13
https://doi.org/10.1109/isncc55209.2022.9851707

Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review

Autor: Mudhafar Nuaimi, Lamia Chaari Fourati, Bassem Ben Hamed

Publikováno v: Journal of Network and Computer Applications. 215:103637

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::263ee1eeb0d6eacc32d415ec56d44b85
https://doi.org/10.1016/j.jnca.2023.103637

Progressive Learning With Anchoring Regularization For Vehicle Re-Identification

Autor: Mohamed Dhia Elhak Besbes, Yousri Kessentini, Hedi Tabia, Bassem Ben Hamed

Publikováno v: 28th IEEE International Conference on Image Processing (ICIP 2021)
28th IEEE International Conference on Image Processing (ICIP 2021), Sep 2021, Anchorage,Al., United States. pp.1154--1158, ⟨10.1109/ICIP42928.2021.9506152⟩

International audience; Vehicle re-identification (re-ID) aims to automatically find vehicle identity from a large number of vehicle images captured from multiple cameras. Most existing vehicle re-ID approaches rely on fully supervised learning metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f33ca89c15364c9b1e8968cd7792319f
https://hal-univ-evry.archives-ouvertes.fr/hal-03606607