Zobrazeno 1 - 6
of 6
pro vyhledávání: '"R'mani Haulcy"'
Autor:
Brian Tracey, Dmitri Volfson, James Glass, R’mani Haulcy, Melissa Kostrzebski, Jamie Adams, Tairmae Kangarloo, Amy Brodtmann, E. Ray Dorsey, Adam Vogel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical interpretability. As an example, Mel frequency
Externí odkaz:
https://doaj.org/article/e0ea7c4330da4036a2bfa9add0fd51ff
Autor:
R'mani Haulcy, James Glass
Publikováno v:
Frontiers in Psychology, Vol 11 (2021)
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor skills of patients. Extensive research has been done to develop accessible, cost-effective, and non-invasive techniques for the automatic detection of AD. Pr
Externí odkaz:
https://doaj.org/article/aa83cf9a7f6e45f7b01a2d37636c079e
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07df9684c8ab3f9f598725cd1c16f210
https://doi.org/10.1109/icassp43922.2022.9746627
https://doi.org/10.1109/icassp43922.2022.9746627
Autor:
R’mani Haulcy, James Glass
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec8c955b411211df5d66f8ad51a0bc6c
https://doi.org/10.21437/interspeech.2021-1810
https://doi.org/10.21437/interspeech.2021-1810
Autor:
Shumo Cui, Jonathan Sprinkle, Hannah Pohlmann, Miles Churchill, Benedetto Piccoli, Maria Laura Delle Monache, Rahul Bhadani, R’mani Haulcy, Daniel B. Work, Matt Bunting, Nathaniel Hamilton, Fangyu Wu, Benjamin Seibold, Raphael Stern
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
International audience; Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, a number of research activities have focused o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe743b29ee700776047f7ac15529b42c
https://doi.org/10.1016/j.trc.2018.02.005
https://doi.org/10.1016/j.trc.2018.02.005
Autor:
Raphael Stern, Shumo Cui, Matt Bunting, R’mani Haulcy, Daniel B. Work, Miles Churchill, Fangyu Wu, Maria Laura Delle Monache, Jonathan Sprinkle, Benjamin Seibold, Nathaniel Hamilton, Benedetto Piccoli, Rahul Bhadani
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
International audience; High-fidelity vehicle trajectory data is becoming increasingly important in traffic modeling, especially to capture dynamic features such as stop-and-go waves. This article presents data collected in a series of eight experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164ff976cfd1707f859de22e3193dbe5
https://inria.hal.science/hal-01614665
https://inria.hal.science/hal-01614665
