Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Haithem Ben Chikha

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Sensors (Basel, Switzerland)|March 6, 2021
Machine Learning for 5G MIMO Modulation DetectionHaithem Ben Chikha, Ahmad Almadhor, Waqas Khalid
Scientific Reports|February 2, 2026
Deep residual network enhanced with multilevel residual-of-residual for automatic classification of radio signals for 5G and beyond systemsRanda Jabeur, Alaa Alaerjan, Haithem Ben Chikha
Sensors (Basel, Switzerland)|August 14, 2025
Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual NetworksHaithem Ben Chikha, Alaa Alaerjan, Randa Jabeur
Scientific Reports|July 17, 2025
Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systemsHaithem Ben Chikha, Alaa Alaerjan, Randa Jabeur
Scientific Reports|December 27, 2024
Enhancing energy distribution through dynamic multi-hop for heterogeneous WSNs dedicated to IoT-enabled smart gridsMalika Elmonser, Alaa Alaerjan, Randa Jabeur, et al.
Frontiers in Computational Neuroscience|December 12, 2022
An efficient computer vision-based approach for acute lymphoblastic leukemia predictionAhmad Almadhor, Usman Sattar, Abdullah Al Hejaili, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|March 6, 2021
Machine Learning for 5G MIMO Modulation DetectionHaithem Ben Chikha, Ahmad Almadhor, Waqas Khalid
Scientific Reports|February 2, 2026
Deep residual network enhanced with multilevel residual-of-residual for automatic classification of radio signals for 5G and beyond systemsRanda Jabeur, Alaa Alaerjan, Haithem Ben Chikha
Sensors (Basel, Switzerland)|August 14, 2025
Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual NetworksHaithem Ben Chikha, Alaa Alaerjan, Randa Jabeur
Scientific Reports|July 17, 2025
Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systemsHaithem Ben Chikha, Alaa Alaerjan, Randa Jabeur
Scientific Reports|December 27, 2024
Enhancing energy distribution through dynamic multi-hop for heterogeneous WSNs dedicated to IoT-enabled smart gridsMalika Elmonser, Alaa Alaerjan, Randa Jabeur, et al.
Frontiers in Computational Neuroscience|December 12, 2022
An efficient computer vision-based approach for acute lymphoblastic leukemia predictionAhmad Almadhor, Usman Sattar, Abdullah Al Hejaili, et al.
Pageof 1