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October 13, 2011

Published by djl101000

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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
Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping
Quantifying Inhaled Concentrations of Particulate Matter, Carbon Dioxide, Nitrogen Dioxide, and Nitric Oxide Using Observed Biometric Responses with Machine Learning
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
Data-Driven Environmental Health: Unraveling Particulate Matter Trends with Biometric Signals
Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach
Greenhouse Gas Emissions Information for Decision Making
Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales
Data-Driven EEG Band Discovery with Decision Trees
7th annual Green Source DFW Sustainable Leadership Awards!
DFW air network gets green light from Dallas committee
Dense Urban Environment Dosimetry for Actionable Information and Recording Exposure (DUE DARE)
Environmental Sensing Security Sentinels
Fighting asthma with data
Breath Analysis
Random Forest Example
Airborne Multi-Gas Sensor
CICI: Data Provenance: Collaborative Research: CY-DIR Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Research
GASP: Geolocated Allergen Sensing Platform
A short course on Big Data & Machine Learning