Yuhan Chen

Works (5)

Updated: April 4th, 2024 15:56

2024 article

Experimental assessment of blowing effect on vehicle performance and aero-acoustics in small-rotor/wing interaction

Chen, M., Chen, Y., Hua, J., Maier, N., & Burdette, D. (2024, March 7). JOURNAL OF VIBRATION AND CONTROL, Vol. 3.

By: M. Chen n , Y. Chen* , J. Hua *, N. Maier n & D. Burdette n

author keywords: Small urban air mobility tiltrotor; blow effect; active flow control; noise reduction; vehicle performance
Sources: Web Of Science, ORCID
Added: March 8, 2024

2023 journal article

An Overview of and Advances in Modeling and Interoperability of Deep Neural Sleep Staging

Physiologia.

By: R. Soleimani  n, J. Barahona n, Y. Chen n , A. Bozkurt  n, M. Daniele  n, V. Pozdin *, E. Lobaton n 

TL;DR: An improvement in performance up to 12% on standard datasets over the last 5 years is identified and the causes for these trends seem to be caused by incorporating new architectural components, such as the use of transformers and contrastive learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: February 1, 2024

2023 journal article

Robust Cough Detection With Out-of-Distribution Detection

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(7), 3210–3221.

By: Y. Chen n , P. Attri  n, J. Barahona n, M. Hernandez *, D. Carpenter *, A. Bozkurt n, E. Lobaton n 

author keywords: Cough detection; audio classification; out-of-distribution; bio-signal processing; machine learning
TL;DR: The incorporation of OOD detection techniques improves cough detection performance by a significant margin and provides a valuable solution to real-world acoustic cough detection problems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: April 6, 2023

2022 journal article

Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks

Information, 13(7), 338.

By: R. da Silva n, B. Zhong n , Y. Chen n  & E. Lobaton n 

author keywords: Bayesian Neural Networks; uncertainty quantification; stereotypical motor movement; body rocking
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: July 13, 2022

2021 journal article

Toward Automated Analysis of Fetal Phonocardiograms: Comparing Heartbeat Detection from Fetal Doppler and Digital Stethoscope Signals

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 975–979.

By: Y. Chen n , M. Wilkins  n, J. Barahona n, A. Rosenbaum n, M. Daniele n & E. Lobaton n 

Event: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) at Mexico on November 1-5, 2021

MeSH headings : Female; Fetal Monitoring; Heart Rate; Humans; Neural Networks, Computer; Pregnancy; Signal Processing, Computer-Assisted; Stethoscopes
TL;DR: This work implemented two neural network architectures for heartbeat detection on a set of fetal phonocardiogram signals captured using fetal Doppler and a digital stethoscope, and shows a Convolutional Neural Network is the most efficient at identifying the S1 waveforms in a heartbeat. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: April 25, 2022

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