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

John Yearwood

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 11, 2008
A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modelingShamsul Huda, John Yearwood, Roberto Togneri
Scientific Reports|January 6, 2026
Design and evaluation of a knowledge-based ECG noise filtering frameworkSaifur Rahman, John Yearwood, Chandan Karmakar
IEEE Journal of Biomedical and Health Informatics|June 24, 2022
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-ConvolutionAhsan Habib, Chandan Karmakar, John Yearwood
IEEE Transactions on Cybernetics|April 2, 2014
Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural NetworkAhsan Habib, Chandan Karmakar, John Yearwood
Journal of Theoretical Biology|July 5, 2011
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modelingJiapu Zhang, David Y Gao, John Yearwood
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection frameworkSaifur Rahman, Ahsan Habib, Chandan Karmakar, et al.
International Journal of Neural Systems|October 19, 2006
A hybrid neural learning algorithm using evolutionary learning and derivative free local search methodRanadhir Ghosh, John Yearwood, Moumita Ghosh, et al.
Computer Methods and Programs in Biomedicine|May 30, 2024
Robustness of Deep Learning models in electrocardiogram noise detection and classificationSaifur Rahman, Shantanu Pal, John Yearwood, et al.
Journal of the Royal Society, Interface|April 13, 2022
Robustness of electrocardiogram signal quality indicesSaifur Rahman, Chandan Karmakar, Iynkaran Natgunanathan, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 11, 2008
A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modelingShamsul Huda, John Yearwood, Roberto Togneri
Scientific Reports|January 6, 2026
Design and evaluation of a knowledge-based ECG noise filtering frameworkSaifur Rahman, John Yearwood, Chandan Karmakar
IEEE Journal of Biomedical and Health Informatics|June 24, 2022
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-ConvolutionAhsan Habib, Chandan Karmakar, John Yearwood
IEEE Transactions on Cybernetics|April 2, 2014
Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden Markov model for signal modelingShamsul Huda, John Yearwood, Roberto Togneri
IEEE Journal of Biomedical and Health Informatics|April 5, 2023
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural NetworkAhsan Habib, Chandan Karmakar, John Yearwood
Journal of Theoretical Biology|July 5, 2011
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modelingJiapu Zhang, David Y Gao, John Yearwood
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection frameworkSaifur Rahman, Ahsan Habib, Chandan Karmakar, et al.
International Journal of Neural Systems|October 19, 2006
A hybrid neural learning algorithm using evolutionary learning and derivative free local search methodRanadhir Ghosh, John Yearwood, Moumita Ghosh, et al.
Computer Methods and Programs in Biomedicine|May 30, 2024
Robustness of Deep Learning models in electrocardiogram noise detection and classificationSaifur Rahman, Shantanu Pal, John Yearwood, et al.
Journal of the Royal Society, Interface|April 13, 2022
Robustness of electrocardiogram signal quality indicesSaifur Rahman, Chandan Karmakar, Iynkaran Natgunanathan, et al.
Pageof 2