1 citations · 1 across the 5 of their papers we have counts for
6 papers
All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation
Steven C. Nesbit, Giovanni T. Michel, Gerd J. Kunde +2
As AI models grow in size and usage, their energy demands increase dramatically, raising sustainability and economic concerns. Neuromorphic hardware, inspired by the energy efficie…
Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring
Steven C. Nesbit, Victor M. Vergara, Michael A. Felix +4
Persistent acoustic monitoring can detect machine faults without physical contact, but always-on inference is constrained by power, latency, and deployment complexity. We demonstra…
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data
Ximing Wen, Rosina O. Weber, Anik Sen +9
Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting ultrasound scans right at the patient's bedside. However, the expertise needed to interpr…
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
Darryl Hannan, Steven C. Nesbit, Ximing Wen +10
Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic ne…
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
Darryl Hannan, Steven C. Nesbit, Ximing Wen +10
Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted ultrasonography at the patient's bedside. Interpreting these images requires a high level of expertis…
Dictionary Learning with Accumulator Neurons
Gavin Parpart, Carlos Gonzalez, Terrence C. Stewart +6
The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time exec…