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

Aseel Hussien

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Journal of Imaging|August 30, 2021
On Computational Aspects of Krawtchouk Polynomials for High OrdersBasheera M Mahmmod, Alaa M Abdul-Hadi, Sadiq H Abdulhussain, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Cooperative Power-Domain NOMA Systems: An OverviewMujtaba Ghous, Ahmad Kamal Hassan, Ziaul Haq Abbas, et al.
Sensors (Basel, Switzerland)|July 8, 2023
An Innovative Clustering Hierarchical Protocol for Data Collection from Remote Wireless Sensor Networks Based Internet of Things ApplicationsSyed Luqman Shah, Ziaul Haq Abbas, Ghulam Abbas, et al.
Scientific Reports|May 22, 2026
EcoImpact: energy conservation using data-driven model predictive control and interpretable machine learning in the buildings sectorAseel Hussien, Aref Maksoud, Shouib Nouh Ma'bdeh, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Imaging|August 30, 2021
On Computational Aspects of Krawtchouk Polynomials for High OrdersBasheera M Mahmmod, Alaa M Abdul-Hadi, Sadiq H Abdulhussain, et al.
Sensors (Basel, Switzerland)|December 23, 2022
Cooperative Power-Domain NOMA Systems: An OverviewMujtaba Ghous, Ahmad Kamal Hassan, Ziaul Haq Abbas, et al.
Sensors (Basel, Switzerland)|July 8, 2023
An Innovative Clustering Hierarchical Protocol for Data Collection from Remote Wireless Sensor Networks Based Internet of Things ApplicationsSyed Luqman Shah, Ziaul Haq Abbas, Ghulam Abbas, et al.
Scientific Reports|May 22, 2026
EcoImpact: energy conservation using data-driven model predictive control and interpretable machine learning in the buildings sectorAseel Hussien, Aref Maksoud, Shouib Nouh Ma'bdeh, et al.
Pageof 1