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

Kaiquan Cai

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural NetworkYuhang Wang, Kaiquan Cai, Deyuan Meng
IEEE Transactions on Cybernetics|March 10, 2020
Distributed Control of Time-Varying Signed Networks: Theories and ApplicationsDeyuan Meng, Yuxin Wu, Kaiquan Cai
Scientific Reports|July 2, 2025
Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigmMingming Xiao, Chen Hong, Kaiquan Cai
Thescientificworldjournal|July 17, 2015
A Novel Biobjective Risk-Based Model for Stochastic Air Traffic Network Flow Optimization ProblemKaiquan Cai, Yaoguang Jia, Yanbo Zhu, et al.
IEEE Transactions on Cybernetics|November 8, 2021
Distributed Control Problems on Signed Networks Under Mixed Static and Dynamic ProtocolsYuxin Wu, Deyuan Meng, Qiang Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 24, 2025
Learning-Aided Neighborhood Search for Vehicle Routing ProblemsTong Guo, Yi Mei, Mengjie Zhang, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural NetworkYuhang Wang, Kaiquan Cai, Deyuan Meng
IEEE Transactions on Cybernetics|March 10, 2020
Distributed Control of Time-Varying Signed Networks: Theories and ApplicationsDeyuan Meng, Yuxin Wu, Kaiquan Cai
Scientific Reports|July 2, 2025
Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigmMingming Xiao, Chen Hong, Kaiquan Cai
Thescientificworldjournal|July 17, 2015
A Novel Biobjective Risk-Based Model for Stochastic Air Traffic Network Flow Optimization ProblemKaiquan Cai, Yaoguang Jia, Yanbo Zhu, et al.
IEEE Transactions on Cybernetics|November 8, 2021
Distributed Control Problems on Signed Networks Under Mixed Static and Dynamic ProtocolsYuxin Wu, Deyuan Meng, Qiang Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 24, 2025
Learning-Aided Neighborhood Search for Vehicle Routing ProblemsTong Guo, Yi Mei, Mengjie Zhang, et al.
Pageof 1