Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Hakim Nasaoui
Institution:
Chouaib Doukkali University
Observed institution:
Chouaib Doukkali University
ORCID:
0000-0001-8531-521X
Observed ORCID:
0000-0001-8531-521X
OpenAlex ID:
A5028478994
Human Action Recognition Using Squeezed Convolutional Neural Network
2022
·
Hakim Nasaoui
, Insaf. Bellamine
, et al.
·
International Symposium on Signal, Image, Video and Communications (ISIVC)
·
5
Improving Human Action Recognition in Videos with Two-Stream and Self-Attention Module
2023
·
Hakim Nasaoui
, Insaf Bellamine
, et al.
·
IEEE Congress on Information Science and Technology (CiSt)
·
4
Business Intelligence for Sustainable Logistics Performance in SMEs: A Systematic Literature Review and Research Agenda
2026
·
Amina Meskaoui
, Hakim Nasaoui
, et al.
·
Logistics
·
2
PDF
Action Recognition Using Segmental Action Network
2023
·
Hakim Nasaoui
, Insaf Bellamine
, et al.
·
Revue d intelligence artificielle
·
1
PDF
Surgical-aware video masked autoencoders with phase-conditioned attention for laparoscopic action recognition
2026
·
Hakim Nasaoui
, Hassan Silkan
, et al.
·
International Journal of Advances in Intelligent Informatics
PDF
Transformed DETR leveraging dense prior and focal attention for enhanced visual recognition
2026
·
Hakim Nasaoui
, Insaf Bellamine
, et al.
·
Discover Artificial Intelligence
PDF
Weather-Adaptive Attention for Radar-Vision Fusion in Action Recognition
2026
·
Hakim Nasaoui
, Hassan Silkan
, et al.
·
Lecture notes on data engineering and communications technologies
MedACT-CL: Knowledge-Enhanced Tri-Modal Contrastive Learning for Medical Action Recognition
2026
·
Hakim Nasaoui
, Hassan Silkan
, et al.
·
Lecture notes in networks and systems
Detection of COVID-19 from Chest X-ray images using Deep learning
2021
·
Insaf Bellamine
, Hakim Nasaoui
, et al.
·
International Conference on Networking, Information Systems & Security (NISS)
Show more works
View as search
Works count:
9
Citation count:
12
H-index:
2
I10-index:
Year
Topic
Type