Browsing Faculty of Engineering & Applied Science by Subject "Neural networks"
Now showing items 1-3 of 3
-
Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
(2021-04-01)Driven by recent technological advancements within the artificial intelligence domain, deep learning has emerged as a promising representation learning technique. This in turn has given rise to the evolution of deep ... -
Effective modeling of advanced filters and multiplexing networks
(2019-06-01)Microwave filters and multiplexers are widely used in all types of electronic systems. This research focuses on advanced filters and multiplexers for applications in communication satellites with stringent requirements and ... -
Health and safety enhancement of lithium-ion batteries for fast-charging
(2021-08-01)With the ever-increasing demand for battery electric vehicles, the expectation of safety, range, and fast charging has become a major focus for industry players and researchers. The research presented herein sought to ...