Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lakitha O. H. Wijeratne"'
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:
John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew Lary, David Schaefer, Gokul Balagopal, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2430 (2024)
Unmanned aerial vehicles equipped with hyperspectral imagers have emerged as an essential technology for the characterization of inland water bodies. The high spectral and spatial resolutions of these systems enable the retrieval of a plethora of opt
Externí odkaz:
https://doaj.org/article/fd783ffd3c6d487280b4ee8541382ea3
Autor:
Prabuddha M. H. Dewage, Lakitha O. H. Wijeratne, Xiaohe Yu, Mazhar Iqbal, Gokul Balagopal, John Waczak, Ashen Fernando, Matthew D. Lary, Shisir Ruwali, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2454 (2024)
This study aims to provide analyses of the levels of airborne particulate matter (PM) using a two-pronged approach that combines data from in situ Internet of Things (IoT) sensor networks with remotely sensed aerosol optical depth (AOD). Our approach
Externí odkaz:
https://doaj.org/article/ad9dd304768742c4a4b5cae0080a4211
Autor:
John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew Lary, David Schaefer, David J. Lary
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 996 (2024)
Inland waters pose a unique challenge for water quality monitoring by remote sensing techniques due to their complicated spectral features and small-scale variability. At the same time, collecting the reference data needed to calibrate remote sensing
Externí odkaz:
https://doaj.org/article/26f2ca9e4483466fb48b1f4c342d0581
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
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 495 (2022)
PM2.5, a type of fine particulate with a diameter equal to or less than 2.5 micrometers, has been identified as a major source of air pollution, and is associated with many health issues. Research on utilizing various data sources, such as remote sen
Externí odkaz:
https://doaj.org/article/71eaced6c1244549946ee2f2a1486724
Publikováno v:
Sensors, Vol 21, Iss 18, p 6259 (2021)
Sunlight incident on the Earth’s atmosphere is essential for life, and it is the driving force of a host of photo-chemical and environmental processes, such as the radiative heating of the atmosphere. We report the description and application of a
Externí odkaz:
https://doaj.org/article/3f4dc72e18794fcdb196d4fd4bc96cc0
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:
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:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 6259, p 6259 (2021)
Sensors
Volume 21
Issue 18
Sensors, Vol 21, Iss 6259, p 6259 (2021)
Sensors
Volume 21
Issue 18
Sunlight incident on the Earth’s atmosphere is essential for life, and it is the driving force of a host of photo-chemical and environmental processes, such as the radiative heating of the atmosphere. We report the description and application of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e8af6c6f2a1ec2d3b4311a4d0b61214
https://doi.org/10.3390/s21186259
https://doi.org/10.3390/s21186259