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David J Lary

Showing results (1-10 of 22) with videos related to

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Environmental Monitoring and Assessment|June 30, 2019
Combining domain filling with a self-organizing map to analyze multi-species hydrocarbon signatures on a regional scaleBrian J Nathan, David J Lary
Applied Sciences (Basel, Switzerland)|April 30, 2019
Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global OceanDirk Aurin, Antonio Mannino, David J Lary
Environmental Monitoring and Assessment|June 30, 2019
Using machine learning to understand the temporal morphology of the PM<sub>2.5</sub> annual cycle in East AsiaDaji Wu, David J Lary, Gebreab K Zewdie, et al.
International Journal of Environmental Research and Public Health|June 7, 2019
Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne <i>Ambrosia</i> PollenGebreab K Zewdie, David J Lary, Estelle Levetin, et al.
Sensors (Basel, Switzerland)|September 28, 2021
Machine Learning for Light Sensor CalibrationYichao Zhang, Lakitha O H Wijeratne, Shawhin Talebi, et al.
Sensors (Basel, Switzerland)|November 27, 2024
Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine LearningVinu Sooriyaarachchi, David J Lary, Lakitha O H Wijeratne, et al.
Chempluschem|December 3, 2021
Machine Learning for Estimating Electron Transfer Rates From Square Wave VoltammetryAusten C Adams, Sauraj Jha, David J Lary, et al.
Environmental Monitoring and Assessment|June 30, 2019
Using machine learning to examine the relationship between asthma and absenteeismMaria-Anna Lary, Leslie Allsopp, David J Lary, et al.
Sensors (Basel, Switzerland)|April 23, 2022
Data-Driven EEG Band Discovery with Decision TreesShawhin Talebi, John Waczak, Bharana A Fernando, et al.
Environmental Monitoring and Assessment|June 9, 2019
Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar dataGebreab K Zewdie, David J Lary, Xun Liu, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Environmental Monitoring and Assessment|June 30, 2019
Combining domain filling with a self-organizing map to analyze multi-species hydrocarbon signatures on a regional scaleBrian J Nathan, David J Lary
Applied Sciences (Basel, Switzerland)|April 30, 2019
Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global OceanDirk Aurin, Antonio Mannino, David J Lary
Environmental Monitoring and Assessment|June 30, 2019
Using machine learning to understand the temporal morphology of the PM<sub>2.5</sub> annual cycle in East AsiaDaji Wu, David J Lary, Gebreab K Zewdie, et al.
International Journal of Environmental Research and Public Health|June 7, 2019
Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne <i>Ambrosia</i> PollenGebreab K Zewdie, David J Lary, Estelle Levetin, et al.
Sensors (Basel, Switzerland)|September 28, 2021
Machine Learning for Light Sensor CalibrationYichao Zhang, Lakitha O H Wijeratne, Shawhin Talebi, et al.
Sensors (Basel, Switzerland)|November 27, 2024
Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine LearningVinu Sooriyaarachchi, David J Lary, Lakitha O H Wijeratne, et al.
Chempluschem|December 3, 2021
Machine Learning for Estimating Electron Transfer Rates From Square Wave VoltammetryAusten C Adams, Sauraj Jha, David J Lary, et al.
Environmental Monitoring and Assessment|June 30, 2019
Using machine learning to examine the relationship between asthma and absenteeismMaria-Anna Lary, Leslie Allsopp, David J Lary, et al.
Sensors (Basel, Switzerland)|April 23, 2022
Data-Driven EEG Band Discovery with Decision TreesShawhin Talebi, John Waczak, Bharana A Fernando, et al.
Environmental Monitoring and Assessment|June 9, 2019
Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar dataGebreab K Zewdie, David J Lary, Xun Liu, et al.
Pageof 3