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

Majed Alhaisoni

Showing results (11-20 of 20) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 20 results.
Sensors (Basel, Switzerland)|November 27, 2021
Human Gait Recognition: A Single Stream Optimal Deep Learning Features FusionFaizan Saleem, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature FusionKiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Computational Intelligence and Neuroscience|December 5, 2022
Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety IdentificationMaryam Fatima, Muhammad Attique Khan, Muhammad Sharif, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
BC<sup>2</sup>NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features SelectionKiran Jabeen, Muhammad Attique Khan, Jamel Balili, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
D<sup>2</sup>BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI ScansAmeer Hamza, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (Basel, Switzerland)|March 11, 2023
A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait RecognitionFaiza Jahangir, Muhammad Attique Khan, Majed Alhaisoni, et al.
Diagnostics (Basel, Switzerland)|November 11, 2022
GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and ClassificationMuhammad Attique Khan, Naveera Sahar, Wazir Zada Khan, et al.
Diagnostics (Basel, Switzerland)|May 13, 2023
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography ImagesShams Ur Rehman, Muhamamd Attique Khan, Anum Masood, et al.
Computational and Mathematical Methods in Medicine|August 26, 2022
Predicting Breast Cancer Leveraging Supervised Machine Learning TechniquesSanam Aamir, Aqsa Rahim, Zain Aamir, et al.
Frontiers in Public Health|November 21, 2022
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualizationAmeer Hamza, Muhammad Attique Khan, Shui-Hua Wang, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Sensors (Basel, Switzerland)|November 27, 2021
Human Gait Recognition: A Single Stream Optimal Deep Learning Features FusionFaizan Saleem, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature FusionKiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Computational Intelligence and Neuroscience|December 5, 2022
Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety IdentificationMaryam Fatima, Muhammad Attique Khan, Muhammad Sharif, et al.
Diagnostics (Basel, Switzerland)|April 13, 2023
BC<sup>2</sup>NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features SelectionKiran Jabeen, Muhammad Attique Khan, Jamel Balili, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
D<sup>2</sup>BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI ScansAmeer Hamza, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (Basel, Switzerland)|March 11, 2023
A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait RecognitionFaiza Jahangir, Muhammad Attique Khan, Majed Alhaisoni, et al.
Diagnostics (Basel, Switzerland)|November 11, 2022
GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and ClassificationMuhammad Attique Khan, Naveera Sahar, Wazir Zada Khan, et al.
Diagnostics (Basel, Switzerland)|May 13, 2023
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography ImagesShams Ur Rehman, Muhamamd Attique Khan, Anum Masood, et al.
Computational and Mathematical Methods in Medicine|August 26, 2022
Predicting Breast Cancer Leveraging Supervised Machine Learning TechniquesSanam Aamir, Aqsa Rahim, Zain Aamir, et al.
Frontiers in Public Health|November 21, 2022
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualizationAmeer Hamza, Muhammad Attique Khan, Shui-Hua Wang, et al.
Pageof 2