David John Lary

25 papers C 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction.
Remote. Sens.
John Waczak, Adam R. Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew D. Lary, David Schaefer, David John Lary
2024 J jnl
Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery.
Remote. Sens.
John Waczak, David John Lary
2024 J jnl
Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches.
Remote. Sens.
Prabuddha M. H. Dewage, Lakitha O. H. Wijeratne, Xiaohe Yu, Mazhar Iqbal, Gokul Balagopal, John Waczak, Ashen Fernando, Matthew D. Lary, Shisir Ruwali, David John Lary
2024 J jnl
Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping.
Remote. Sens.
John Waczak, Adam R. Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Ashen Fernando, Prabuddha M. H. Dewage, Mazhar Iqbal, Matthew D. Lary, David Schaefer, Gokul Balagopal, David John Lary
2022 J jnl
Data-Driven EEG Band Discovery with Decision Trees.
Sensors
Shawhin Talebi, John Waczak, Bharana Fernando, Arjun Sridhar, David John Lary
2022 J jnl
Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales.
Sensors
Shawhin Talebi, David John Lary, Lakitha O. H. Wijeratne, Bharana Fernando, Tatiana Lary, Matthew D. Lary, John Sadler, Arjun Sridhar, John Waczak, Adam R. Aker, Yichao Zhang
2022 J jnl
High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source.
Remote. Sens.
Xiaohe Yu, David John Lary, Christopher S. Simmons, Lakitha O. H. Wijeratne
2021 J jnl
Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning.
Sensors
David John Lary, David Schaefer, John Waczak, Adam R. Aker, Aaron Barbosa, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, John Sadler, Tatiana Lary, Matthew D. Lary
2021 J jnl
Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification.
Remote. Sens.
Xiaohe Yu, David John Lary
2021 J jnl
Machine Learning for Light Sensor Calibration.
Sensors
Yichao Zhang, Lakitha O. H. Wijeratne, Shawhin Talebi, David John Lary
2021 J jnl
PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD.
Remote. Sens.
Xiaohe Yu, David John Lary, Christopher S. Simmons
2020 J jnl
Using Machine Learning for the Calibration of Airborne Particulate Sensors.
Sensors
Lakitha O. H. Wijeratne, Daniel R. Kiv, Adam R. Aker, Shawhin Talebi, David John Lary
2019 J jnl
Opening Terahertz for Everyday Applications.
IEEE Commun. Mag.
Kenneth K. O, Wooyeol Choi, Qian Zhong, Navneet Sharma, Yaming Zhang, Ruonan Han, Zeshan Ahmad, Dae Yeon Kim, Sandeep Kshattry, Ivan R. Medvedev, David John Lary, Hyun-Joo Nam, Philip Raskin, Insoo Kim
2016 J jnl
Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor.
J. Field Robotics
Juan-Pablo Ramirez-Paredes, David John Lary, Nicholas R. Gans
2016 — ch.
The Ignite Distributed Collaborative Scientific Visualization System.
The GENI Book
Matt Hemmings, Robert Krahn, David John Lary, Rick McGeer, Glenn Ricart, Marko Röder
2015 C conf
The Ignite Distributed Collaborative Scientific Visualization System.
CloudCom
Sushil Bhojwani, Matthew Hemmings, Daniel Ingalls, Jens Lincke, Robert Krahn, David John Lary, Patrick C. McGeer, Glenn Ricart, Marko Röder, Yvonne Coady, Ulrike Stege
2015 J jnl
The Ignite Distributed Collaborative Visualization System.
SIGMETRICS Perform. Evaluation Rev.
Sushil Bhojwani, Matt Hemmings, Dan Ingalls, Jens Lincke, Robert Krahn, David John Lary, Rick McGeer, Glenn Ricart, Marko Röder, Yvonne Coady, Ulrike Stege
2014 J jnl
Holistics 3.0 for Health.
ISPRS Int. J. Geo Inf.
David John Lary, Steven H. Woolf, Fazlay Faruque, James P. LePage
2012 — conf
Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing.
CIDU
Nabin K. Malakar, David John Lary, A. Moore, Deniz Gençaga, Bryan Roscoe, Arif Albayrak, Jennifer C. Wei
2012 J jnl
Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles.
Remote. Sens.
Amir Khan, David Schaefer, Lei Tao, David J. Miller, Kang Sun, Mark A. Zondlo, William A. Harrison, Bryan Roscoe, David John Lary
2009 J jnl
Machine Learning and Bias Correction of MODIS Aerosol Optical Depth.
IEEE Geosci. Remote. Sens. Lett.
David John Lary, Lorraine Remer, Devon MacNeill, Bryan Roscoe, Susan Paradise
2007 J jnl
A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space.
IEEE Trans. Geosci. Remote. Sens.
Christopher P. Loughner, David John Lary, Lynn C. Sparling, Ronald C. Cohen, Phil DeCola, William R. Stockwell
2007 C conf
Autonomous Objectively Optimized Observing Systems.
IGARSS
David John Lary
2006 — conf
Building Structure-Property Predictive Models Using Data Assimilation.
CompLife
Hamse Y. Mussa, David John Lary, Robert C. Glen
2006 J jnl
Using probability distribution functions for satellite validation.
IEEE Trans. Geosci. Remote. Sens.
David John Lary, Leslie Lait