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

Akshay Agarwal

Showing results (1-10 of 24) with videos related to

Pageof 3
Sort By:
Environmental Monitoring and Assessment|April 26, 2025
Bayesian-optimized recursive machine learning for predicting human-induced changes in suspended sediment transportSoumya Kundu, Somil Swarnkar, Akshay Agarwal
Ultramicroscopy|March 11, 2021
Image-histogram-based secondary electron counting to evaluate detective quantum efficiency in SEMAkshay Agarwal, John Simonaitis, Karl K Berggren
Scientific Reports|June 29, 2026
Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable modelsRishi Chaudhary, Akshay Agarwal, Ved Prakash Chaudhary
Frontiers in Big Data|August 8, 2022
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition ImagesAkshay Agarwal, Richa Singh, Mayank Vatsa, et al.
Frontiers in Artificial Intelligence|December 27, 2021
MagNet: Detecting Digital Presentation Attacks on Face RecognitionAkshay Agarwal, Richa Singh, Mayank Vatsa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 14, 2024
Corruption depth: Analysis of DNN depth for misclassificationAkshay Agarwal, Mayank Vatsa, Richa Singh, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 12, 2022
Crafting Adversarial Perturbations via Transformed Image Component SwappingAkshay Agarwal, Nalini Ratha, Mayank Vatsa, et al.
Ultramicroscopy|December 15, 2022
Secondary electron count imaging in SEMAkshay Agarwal, John Simonaitis, Vivek K Goyal, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 12, 2021
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation DetectorAkshay Agarwal, Gaurav Goswami, Mayank Vatsa, et al.
Radiology Case Reports|July 31, 2023
Unveiling a rare radiological discovery: Interlobar pneumothorax in a young female patientShorabh Sharma, Shivam Khatri, Akshay Agarwal, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Environmental Monitoring and Assessment|April 26, 2025
Bayesian-optimized recursive machine learning for predicting human-induced changes in suspended sediment transportSoumya Kundu, Somil Swarnkar, Akshay Agarwal
Ultramicroscopy|March 11, 2021
Image-histogram-based secondary electron counting to evaluate detective quantum efficiency in SEMAkshay Agarwal, John Simonaitis, Karl K Berggren
Scientific Reports|June 29, 2026
Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable modelsRishi Chaudhary, Akshay Agarwal, Ved Prakash Chaudhary
Frontiers in Big Data|August 8, 2022
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition ImagesAkshay Agarwal, Richa Singh, Mayank Vatsa, et al.
Frontiers in Artificial Intelligence|December 27, 2021
MagNet: Detecting Digital Presentation Attacks on Face RecognitionAkshay Agarwal, Richa Singh, Mayank Vatsa, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 14, 2024
Corruption depth: Analysis of DNN depth for misclassificationAkshay Agarwal, Mayank Vatsa, Richa Singh, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 12, 2022
Crafting Adversarial Perturbations via Transformed Image Component SwappingAkshay Agarwal, Nalini Ratha, Mayank Vatsa, et al.
Ultramicroscopy|December 15, 2022
Secondary electron count imaging in SEMAkshay Agarwal, John Simonaitis, Vivek K Goyal, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 12, 2021
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation DetectorAkshay Agarwal, Gaurav Goswami, Mayank Vatsa, et al.
Radiology Case Reports|July 31, 2023
Unveiling a rare radiological discovery: Interlobar pneumothorax in a young female patientShorabh Sharma, Shivam Khatri, Akshay Agarwal, et al.
Pageof 3