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

Apeksha Koul

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Archives of Computational Methods in Engineering : State of the Art Reviews|October 3, 2022
Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic ReviewApeksha Koul, Rajesh K Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering : State of the Art Reviews|December 5, 2022
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and ChallengesSukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
SN Computer Science|December 19, 2022
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 PandemicYogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
Journal of Ambient Intelligence and Humanized Computing|January 18, 2022
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agendaYogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing|July 3, 2026
Retraction Note: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agendaYogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Scientific Reports|October 31, 2025
Enhancing lymphoma cancer detection using deep transfer learning on histopathological imagesAakanksha Uppal, Barkha Kakkar, Prashant Johri, et al.
Scientific Reports|March 20, 2024
Automated detection and recognition system for chewable food items using advanced deep learning modelsYogesh Kumar, Apeksha Koul, Kamini, et al.
Scientific Reports|July 8, 2026
Hybrid deep learning with attention mechanism for monitoring and classifying physical exercise postures using sensor dataYogesh Kumar, Kamini Girdhar, Ashish Oberoi, et al.
Frontiers in Oncology|October 1, 2024
Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learningPriya Bhardwaj, SeongKi Kim, Apeksha Koul, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Archives of Computational Methods in Engineering : State of the Art Reviews|October 3, 2022
Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic ReviewApeksha Koul, Rajesh K Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering : State of the Art Reviews|December 5, 2022
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and ChallengesSukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
SN Computer Science|December 19, 2022
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 PandemicYogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
Journal of Ambient Intelligence and Humanized Computing|January 18, 2022
Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agendaYogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing|July 3, 2026
Retraction Note: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agendaYogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Scientific Reports|October 31, 2025
Enhancing lymphoma cancer detection using deep transfer learning on histopathological imagesAakanksha Uppal, Barkha Kakkar, Prashant Johri, et al.
Scientific Reports|March 20, 2024
Automated detection and recognition system for chewable food items using advanced deep learning modelsYogesh Kumar, Apeksha Koul, Kamini, et al.
Scientific Reports|July 8, 2026
Hybrid deep learning with attention mechanism for monitoring and classifying physical exercise postures using sensor dataYogesh Kumar, Kamini Girdhar, Ashish Oberoi, et al.
Frontiers in Oncology|October 1, 2024
Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learningPriya Bhardwaj, SeongKi Kim, Apeksha Koul, et al.
Pageof 1