2 papers
cs.NE2026
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Binh Nguyen, Colleen Josephson, Mircea Teodorescu +2
Neuromorphic and edge computing research has focused on reducing the inference cost of neural network controllers, yet in physical closed-loop systems the actuator can rival or exc…
eess.SP2024
Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output
Adam Hess-Dunlop, Harshitha Kakani, Colleen Josephson
Soil microbial fuel cells (SMFCs) are an emerging technology which offer clean and renewable energy in environments where more traditional power sources, such as chemical batteries…