Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tatiana Lary"'
Autor:
Shisir Ruwali, Shawhin Talebi, Ashen Fernando, Lakitha O. H. Wijeratne, John Waczak, Prabuddha M. H. Dewage, David J. Lary, John Sadler, Tatiana Lary, Matthew Lary, Adam Aker
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1019-1046 (2024)
Introduction: Air pollution has numerous impacts on human health on a variety of time scales. Pollutants such as particulate matter—PM1 and PM2.5, carbon dioxide (CO2), nitrogen dioxide (NO2), and nitric oxide (NO) are exemplars of the wider human
Externí odkaz:
https://doaj.org/article/30f144bd91434ce5b416c382d4247535
Autor:
Shawhin Talebi, David J. Lary, Lakitha O. H. Wijeratne, Bharana Fernando, Tatiana Lary, Matthew Lary, John Sadler, Arjun Sridhar, John Waczak, Adam Aker, Yichao Zhang
Publikováno v:
Sensors, Vol 22, Iss 11, p 4240 (2022)
The human body is an incredible and complex sensing system. Environmental factors trigger a wide range of automatic neurophysiological responses. Biometric sensors can capture these responses in real time, providing clues about the underlying biophys
Externí odkaz:
https://doaj.org/article/a176b21c44f94605ad470d053c9d18eb
Autor:
David J. Lary, David Schaefer, John Waczak, Adam Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Sadler, Tatiana Lary, Matthew D. Lary
Publikováno v:
Sensors, Vol 21, Iss 6, p 2240 (2021)
This paper describes and demonstrates an autonomous robotic team that can rapidly learn the characteristics of environments that it has never seen before. The flexible paradigm is easily scalable to multi-robot, multi-sensor autonomous teams, and it
Externí odkaz:
https://doaj.org/article/058e16eaf51c4a19882447a74d0e59e6
Autor:
Shawhin Talebi, David Lary, Lakitha Wijeratne, Bharana Fernando, Tatiana Lary, Matthew Lary, John Sadler, Arjun Srid, John Waczak, Adam Aker, Yichao Zhang
The human body is an incredible and complex sensing system. Environmental factors trigger a wide range of automatic neurophysiological responses. Biometric sensors can capture these responses in real time, providing clues to the underlying biophysica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d078a773027e57cba1a9b2a7314a1998
https://doi.org/10.21203/rs.3.rs-1499191/v1
https://doi.org/10.21203/rs.3.rs-1499191/v1
Autor:
John Z. Sadler, Shawhin Talebi, John Waczak, David J. Lary, Matthew D. Lary, Aaron Barbosa, Tatiana Lary, Bharana Fernando, Lakitha O. H. Wijeratne, David Schaefer, Adam R. Aker
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 6
Sensors, Vol 21, Iss 2240, p 2240 (2021)
Sensors
Volume 21
Issue 6
Sensors, Vol 21, Iss 2240, p 2240 (2021)
This paper describes and demonstrates an autonomous robotic team that can rapidly learn the characteristics of environments that it has never seen before. The flexible paradigm is easily scalable to multi-robot, multi-sensor autonomous teams, and it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88c8837bbef18c3ef48bd0d9a2865be9
https://doi.org/10.20944/preprints202102.0454.v1
https://doi.org/10.20944/preprints202102.0454.v1
Publikováno v:
Biomedical Journal of Scientific & Technical Research. 20
This study is part of a broader investigation into the role of the environment in influencing human physical and cognitive performance. The main purpose of this paper is to provide a baseline...
Publikováno v:
Environmental Health Insights
Environmental Health Insights, Vol 2015, Iss Suppl. 1, Pp 41-52 (2015)
Environmental Health Insights, Vol 2015, Iss Suppl. 1, Pp 41-52 (2015)
With the increasing awareness of health impacts of particulate matter, there is a growing need to comprehend the spatial and temporal variations of the global abundance of ground-level airborne particulate matter (PM2.5). Here we use a suite of remot