Works (7)
Updated: November 29th, 2024 05:02
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.
author keywords: Small urban air mobility tiltrotor; blow effect; active flow control; noise reduction; vehicle performance
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
11. Sustainable Cities and Communities
(OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: March 8, 2024
2023 review
Advances in Modeling and Interpretability of Deep Neural Sleep Staging: A Systematic Review
[Review of ]. PHYSIOLOGIA, 4(1), 1–42.
author keywords: sleep stage classification; EEG; ECG; deep learning; contrastive learning; transfer learning; data augmentation; interpretability
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)
open access via doi.org (publisher)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions
(OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
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.
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
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries, 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.
author keywords: Bayesian Neural Networks; uncertainty quantification; stereotypical motor movement; body rocking
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 13, 2022
2021 article
Improving Performance and Quantifying Uncertainty of Body-Rocking Detection using Bayesian Neural Networks
Silva, R. L., Zhong, B., Chen, Y., & Lobaton, E. (2021, October 14).
Source: ORCID
Added: September 15, 2024
2021 article
Improving Performance and Quantifying Uncertainty of Body-Rocking Detection using Bayesian Neural Networks
Silva, R. L., Zhong, B., Chen, Y., & Lobaton, E. (2021, October 14).
Source: ORCID
Added: September 15, 2024
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.
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
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 25, 2022
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