Grantee Research Project Results
Publications Details for Grant Number SU839965
Machine Learning Calibrated Low-Cost Sensing (MLCS)
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Reference Type | Reference Title | Journal | Author | Citation | Progress Report Year | Document Sources |
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Journal Article | Using machine learning for the calibration of airborne particulate sensors. | SENSORS | Wijeratne LO, Kiv DR, Aker AR, Talebi S, Lary DJ | Wijeratne LO, Kiv DR, Aker AR, Talebi S, Lary DJ. Using machine learning for the calibration of airborne particulate sensors. Sensors 2020;20(1):99. |
SU839965 (2020) |
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Journal Article | Machine Learning for Light Sensor Calibration. | SENSORS | Zhang Y, Wijeratne LO, Talebi S, Lary DJ | Zhang Y, Wijeratne LO, Talebi S, Lary DJ. Machine Learning for Light Sensor Calibration. Sensors 2021;21(18):6259. |
SU839965 (Final) |
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Presentation | Dense Urban Environment Dosimetry for Actionable Information and Recording Exposure (DUE DARE). | None | Lary DJ | Lary DJ. Dense Urban Environment Dosimetry for Actionable Information and Recording Exposure (DUE DARE). Presented at the University of Texas at Dallas, Richardson, United States, 2019. |
SU839965 (2020) |
not available |
Presentation | Fun of Physics:Physics in Service of Society. | None | Lary DJ | Lary DJ. Fun of Physics:Physics in Service of Society. Presented at UT Dallas, Fun of Physics Seminar Series, 2020. |
SU839965 (2020) |
not available |
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