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Lakitha Omal Harindha Wijeratne
Lakitha Omal Harindha Wijeratne
Research Associate, Office of Information Technology, The University of Texas at Dallas
Verified email at utdallas.edu
Title
Cited by
Cited by
Year
Using machine learning for the calibration of airborne particulate sensors
LOH Wijeratne, DR Kiv, AR Aker, S Talebi, DJ Lary
Sensors 20 (1), 99, 2019
302019
Using machine learning to estimate atmospheric Ambrosia pollen concentrations in Tulsa, OK
X Liu, D Wu, GK Zewdie, L Wijeratne, CI Timms, A Riley, E Levetin, ...
Environmental Health Insights 11, 1178630217699399, 2017
272017
Machine learning for light sensor calibration
Y Zhang, LOH Wijeratne, S Talebi, DJ Lary
Sensors 21 (18), 6259, 2021
112021
Decoding physical and cognitive impacts of particulate matter concentrations at ultra-fine scales
S Talebi, DJ Lary, LOH Wijeratne, B Fernando, T Lary, M Lary, J Sadler, ...
Sensors 22 (11), 4240, 2022
42022
Autonomous learning of new environments with a robotic team employing hyper-spectral remote sensing, comprehensive in-situ sensing and machine learning
DJ Lary, D Schaefer, J Waczak, A Aker, A Barbosa, LOH Wijeratne, ...
Sensors 21 (6), 2240, 2021
42021
High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source
X Yu, DJ Lary, CS Simmons, LOH Wijeratne
Remote Sensing 14 (3), 495, 2022
32022
Machine Learning, Big Data, and Spatial Tools: A Combination to Reveal Complex Facts That Impact Environmental Health
DJ Lary, LOH Wijeratne, GK Zewdie, D Kiv, D Wu, FS Faruque, S Talebi, ...
Geospatial Technology for Human Well-Being and Health, 219, 2022
22022
Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach
S Ruwali, BA Fernando, S Talebi, L Wijeratne, J Waczak, ...
Medical Research Archives 12 (1), 2024
12024
Quantifying Inhaled Concentrations of Particulate Matter, Carbon Dioxide, Nitrogen Dioxide, and Nitric Oxide Using Observed Biometric Responses with Machine Learning
S Ruwali, S Talebi, A Fernando, LOH Wijeratne, J Waczak, PMH Dewage, ...
BioMedInformatics 4 (2), 1019-1046, 2024
2024
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
J Waczak, A Aker, LOH Wijeratne, S Talebi, A Fernando, PMH Dewage, ...
Remote Sensing 16 (6), 996, 2024
2024
Data-Driven Environmental Health: Unraveling Particulate Matter Trends with Biometric Signals
BA Fernando, S Talebi, L Wijeratne, J Waczak, V Sooriyaarachchi, ...
Medical Research Archives 12 (1), 2024
2024
Advancement in Airborne Particulate Estimation using Machine Learning
Lakitha OH Wijeratne, Gebreab K. Zewdie, Daniel Kiv, Adam Aker, David J ...
Geospatial Technology for Human Well-being and Health, 2022
2022
Machine Learning Calibrated Low-Cost Sensing
Lakitha Wijeratne, Daniel Kiv, Adam Aker, Gokul Balagopal, David John Lary
https://www.epa.gov/P3/2021-p3-expo-machine-learning-calibrated-low-cost-sensing, 2021
2021
Machine Learning and Holistic Sensing for Societal Benefit
David J. Lary, Shawhin Talebi, Lakitha Wijeratne, Adam Aker, Xiaohe Yu ...
UT Dallas, Bioengineering Departmental Seminar, 2020
2020
Cognitive Performance and the Environment
David J. Lary, Shawhin Talebi, Lakitha Wijeratne, Adam Aker, Xiaohe Yu ...
Virtual Frontiers, 2020
2020
Physics in Service of Society
David J. Lary, Shawhin Talebi, Lakitha Wijeratne, Adam Aker, Xiaohe Yu ...
UT Dallas, Physics Departmental Seminar, 2020
2020
Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning
D Lary
OSF Preprints, 2019
2019
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