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

Ali Mahmoud Mayya

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

Pageof 1
Sort By:
Asian Pacific Journal of Cancer Prevention : APJCP|November 28, 2021
Study the Effect of the Risk Factors in the Estimation of the Breast Cancer Risk Score Using Machine LearningSam Khozama, Ali Mahmoud Mayya
Materials (Basel, Switzerland)|December 31, 2025
Multi-Class Concrete Defect Classification Using Guided Semantic-Spatial Fusion and Squeeze-Excitation Enhanced DenseNet ModelAli Mahmoud Mayya, Nizar Faisal Alkayem
Journal of Imaging Informatics in Medicine|April 15, 2025
A Novel Ensemble Learning Approach for Grouping the State-of-the-Art YOLOV10 and YOLOV11 Models for Kidney Stone Detection in CT and Ultrasound ImagesAli Mahmoud Mayya, Nizar Faisal Alkayem
Sensors (Basel, Switzerland)|January 8, 2025
Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT FrameworkAli Mahmoud Mayya, Nizar Faisal Alkayem
Pageof 1

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

Sort By:
Pageof 1
Asian Pacific Journal of Cancer Prevention : APJCP|November 28, 2021
Study the Effect of the Risk Factors in the Estimation of the Breast Cancer Risk Score Using Machine LearningSam Khozama, Ali Mahmoud Mayya
Materials (Basel, Switzerland)|December 31, 2025
Multi-Class Concrete Defect Classification Using Guided Semantic-Spatial Fusion and Squeeze-Excitation Enhanced DenseNet ModelAli Mahmoud Mayya, Nizar Faisal Alkayem
Journal of Imaging Informatics in Medicine|April 15, 2025
A Novel Ensemble Learning Approach for Grouping the State-of-the-Art YOLOV10 and YOLOV11 Models for Kidney Stone Detection in CT and Ultrasound ImagesAli Mahmoud Mayya, Nizar Faisal Alkayem
Sensors (Basel, Switzerland)|January 8, 2025
Enhance the Concrete Crack Classification Based on a Novel Multi-Stage YOLOV10-ViT FrameworkAli Mahmoud Mayya, Nizar Faisal Alkayem
Pageof 1