Browsing Electrical and Computer Engineering by Subject "Deep learning"
Now showing items 1-3 of 3
-
Denoising Autoencoder for Multi-level Random Telegraph Signal Analysis
(University of Waterloo, 2023-09-21)Random Telegraph Signals (RTSs) are discrete random fluctuations between different current levels that usually appear in short-channel Metal-Oxide-Semiconductor Field Effect Transistors (MOSFETs). The statistical analysis ... -
Hydrophobicity Classification of RTV Silicone Rubber-Coated Insulators Using Deep Learning Algorithms
(University of Waterloo, 2022-08-18)Silicone rubber-based outdoor polymeric insulators are widely employed in electric power transmission and distribution networks to replace conventional ceramic insulators, owing to their superior performance in contaminated ... -
Towards Learning Feasible Hierarchical Decision-Making Policies in Urban Autonomous Driving
(University of Waterloo, 2022-09-29)Modern learning-based algorithms, powered by advanced deep structured neural nets, have multifacetedly facilitated automated driving platforms, spanning from scene characterization and perception to low-level control and ...