Search Results - "Wijeratne, Lakitha O H"
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Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales
Published in Sensors (Basel, Switzerland) (02-06-2022)“…The human body is an incredible and complex sensing system. Environmental factors trigger a wide range of automatic neurophysiological responses. Biometric…”
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Machine Learning for Light Sensor Calibration
Published in Sensors (Basel, Switzerland) (18-09-2021)“…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…”
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Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
Published in Remote sensing (Basel, Switzerland) (01-03-2024)“…Inland waters pose a unique challenge for water quality monitoring by remote sensing techniques due to their complicated spectral features and small-scale…”
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Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches
Published in Remote sensing (Basel, Switzerland) (01-07-2024)“…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…”
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Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping
Published in Remote sensing (Basel, Switzerland) (01-07-2024)“…Unmanned aerial vehicles equipped with hyperspectral imagers have emerged as an essential technology for the characterization of inland water bodies. The high…”
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High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source
Published in Remote sensing (Basel, Switzerland) (01-01-2022)“…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…”
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Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning
Published in Sensors (Basel, Switzerland) (23-03-2021)“…This paper describes and demonstrates an autonomous robotic team that can rapidly learn the characteristics of environments that it has never seen before. The…”
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Using Machine Learning for the Calibration of Airborne Particulate Sensors
Published in Sensors (Basel, Switzerland) (23-12-2019)“…Airborne particulates are of particular significance for their human health impacts and their roles in both atmospheric radiative transfer and atmospheric…”
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Quantifying Inhaled Concentrations of Particulate Matter, Carbon Dioxide, Nitrogen Dioxide, and Nitric Oxide Using Observed Biometric Responses with Machine Learning
Published in BioMedInformatics (03-04-2024)“…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…”
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Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning
Published in Sensors (Basel, Switzerland) (15-11-2024)“…With escalating global environmental challenges and worsening air quality, there is an urgent need for enhanced environmental monitoring capabilities. Low-cost…”
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