7 citations · 8 across the 4 of their papers we have counts for
4 papers
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Dat Ngo, Lam Pham, Huy Phan +3
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gamma…
Audio-Based Deep Learning Frameworks for Detecting COVID-19
Dat Ngo, Lam Pham, Truong Hoang +2
This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In general, the audio recording…
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation
Eduardo Weber Wachter, Server Kasap, Sefki Kolozali +3
The emergence of new nanoscale technologies has imposed significant challenges to designing reliable electronic systems in radiation environments. A few types of radiation like Tot…
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams
Nazli Farajidavar, Sefki Kolozali, Payam Barnaghi
Cities have been a thriving place for citizens over the centuries due to their complex infrastructure. The emergence of the Cyber-Physical-Social Systems (CPSS) and context-aware t…