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

Waleed Alnumay

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

Pageof 1
Sort By:
Sensors (Basel, Switzerland)|March 29, 2019
A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of ThingsWaleed Alnumay, Uttam Ghosh, Pushpita Chatterjee
Neural Networks : the Official Journal of the International Neural Network Society|August 27, 2025
GraphGuard: An adaptive approach for restoring accuracy in backdoor-compromised GNNsAdil Ahmad, Anwar Shah, Waleed Alnumay, et al.
Computers & Electrical Engineering : an International Journal|November 21, 2022
Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss functionAnand Motwani, Piyush Kumar Shukla, Mahesh Pawar, et al.
Sustainable Cities and Society|February 9, 2022
An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 predictionSakthivel R, I Sumaiya Thaseen, Vanitha M, et al.
Pageof 1

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

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|March 29, 2019
A Trust-Based Predictive Model for Mobile Ad Hoc Network in Internet of ThingsWaleed Alnumay, Uttam Ghosh, Pushpita Chatterjee
Neural Networks : the Official Journal of the International Neural Network Society|August 27, 2025
GraphGuard: An adaptive approach for restoring accuracy in backdoor-compromised GNNsAdil Ahmad, Anwar Shah, Waleed Alnumay, et al.
Computers & Electrical Engineering : an International Journal|November 21, 2022
Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss functionAnand Motwani, Piyush Kumar Shukla, Mahesh Pawar, et al.
Sustainable Cities and Society|February 9, 2022
An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 predictionSakthivel R, I Sumaiya Thaseen, Vanitha M, et al.
Pageof 1