Publications (12)
Quantum Approaches for Dysphonia Assessment in Small Speech Datasets
Ha Tran, Bipasha Kashyap, Pubudu N. Pathirana
Dysphonia, a prevalent medical condition, leads to voice loss, hoarseness, or speech interruptions. To assess it, researchers have been investigating various machine learning techn…
Weakly-semi-supervised object detection in remotely sensed imagery
Ji Hun Wang, Jeremy Irvin, Beri Kohen Behar +4
Deep learning for detecting objects in remotely sensed imagery can enable new technologies for important applications including mitigating climate change. However, these models oft…
Far infrared measurements of absorptions by CH4+CO2 and H2+CO2 mixtures and implications for greenhouse warming on early Mars
Martin Turbet, Ha Tran, Olivier Pirali +3
We present an experimental study of the absorption, between 40 and 640 cm, by CO, CH and H gases as well as by H+CO and CH+CO mixtures at room te…
Quantifying Quanvolutional Neural Networks Robustness for Speech in Healthcare Applications
Ha Tran, Bipasha Kashyap, Pubudu N. Pathirana
Speech-based machine learning systems are sensitive to noise, complicating reliable deployment in emotion recognition and voice pathology detection. We evaluate the robustness of a…
Effect of Standing Wave on Terahertz Channel Model
Ha Tran, Thanh Le, Suresh Singh
There is a growing interest in exploiting the terahertz frequency band for future communication systems that demand high data rates. Given the complex propagation behavior of this…
Measurements and predictions of H2 pressure-broadening coefficients of CO2 absorption lines for exoplanet atmosphere studies
Faten Hendaoui, Pascale Chelin, Xavier Landsheere +2
Accurate and comprehensive H2 pressure-induced broadening data for CO2 infrared lines over a wide temperature range are essential for modeling atmospheric opacity of exoplanets. Ho…