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

Carine M Rebello

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
ACS Omega|April 3, 2023
Generating Flavor Molecules Using Scientific Machine LearningLuana P Queiroz, Carine M Rebello, Erbet A Costa, et al.
Foods (Basel, Switzerland)|March 29, 2023
A Reinforcement Learning Framework to Discover Natural Flavor MoleculesLuana P Queiroz, Carine M Rebello, Erbet A Costa, et al.
ACS Omega|February 27, 2023
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality GuaranteeVinícius V Santana, Márcio A F Martins, José M Loureiro, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
ACS Omega|April 3, 2023
Generating Flavor Molecules Using Scientific Machine LearningLuana P Queiroz, Carine M Rebello, Erbet A Costa, et al.
Foods (Basel, Switzerland)|March 29, 2023
A Reinforcement Learning Framework to Discover Natural Flavor MoleculesLuana P Queiroz, Carine M Rebello, Erbet A Costa, et al.
ACS Omega|February 27, 2023
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality GuaranteeVinícius V Santana, Márcio A F Martins, José M Loureiro, et al.
Pageof 1