4 papers
INT8 Quantization Makes ARM Edge Inference Dispatch-Invariant
Sebastián A. Cruz Romero, Shenied E. Maldonado Guerra
On x86, kernel dispatch fragments the outputs of the same neural network into many equivalence classes across hardware. We ask whether the same fragmentation governs ARM edge infer…
Performance Analysis of Post-Training Quantization for CNN-based Conjunctival Pallor Anemia Detection
Sebastian A. Cruz Romero, Wilfredo E. Lugo Beauchamp
Anemia is a widespread global health issue, particularly among young children in low-resource settings. Traditional methods for anemia detection often require expensive equipment a…
Design of an Edge-based Portable EHR System for Anemia Screening in Remote Health Applications
Sebastian A. Cruz Romero, Misael J. Mercado Hernandez, Samir Y. Ali Rivera +2
The design of medical systems for remote, resource-limited environments faces persistent challenges due to poor interoperability, lack of offline support, and dependency on costly…
Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies
Sebastian A. Cruz Romero, Ivanelyz Rivera de Jesus, Dariana J. Troche Quinones +1
X-ray image-based disease diagnosis lies in ensuring the precision of identifying afflictions within the sample, a task fraught with challenges stemming from the occurrence of fals…