David John Lary

According to our database, David John Lary authored at least 24 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping.

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

Remote. Sens., July, 2024

Providing Fine Temporal and Spatial Resolution Analyses of Airborne Particulate Matter Utilizing Complimentary In Situ IoT Sensor Network and Remote Sensing Approaches.

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

Remote. Sens., July, 2024

Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction.

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

Remote. Sens., March, 2024

2022

Data-Driven EEG Band Discovery with Decision Trees.

Shawhin Talebi, John Waczak, Bharana Fernando, Arjun Sridhar, David John Lary

Sensors, 2022

Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales.

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

Sensors, 2022

High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source.

Xiaohe Yu, David John Lary, Christopher S. Simmons, Lakitha O. H. Wijeratne

Remote. Sens., 2022

2021

Machine Learning for Light Sensor Calibration.

Yichao Zhang, Lakitha O. H. Wijeratne, Shawhin Talebi, David John Lary

Sensors, 2021

Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning.

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

Sensors, 2021

PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD.

Xiaohe Yu, David John Lary, Christopher S. Simmons

Remote. Sens., 2021

Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification.

Xiaohe Yu, David John Lary

Remote. Sens., 2021

2020

Using Machine Learning for the Calibration of Airborne Particulate Sensors.

Lakitha O. H. Wijeratne, Daniel R. Kiv, Adam R. Aker, Shawhin Talebi, David John Lary

Sensors, 2020

2019

Opening Terahertz for Everyday Applications.

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

IEEE Commun. Mag., 2019

2016

Low-altitude Terrestrial Spectroscopy from a Pushbroom Sensor.

Juan-Pablo Ramirez-Paredes, David John Lary, Nicholas R. Gans

J. Field Robotics, 2016

The Ignite Distributed Collaborative Scientific Visualization System.

Matt Hemmings, Robert Krahn, David John Lary, Rick McGeer, Glenn Ricart, Marko Röder

Proceedings of the GENI Book, 2016

2015

The Ignite Distributed Collaborative Visualization System.

Sushil Bhojwani, Matt Hemmings, Dan Ingalls, Jens Lincke, Robert Krahn, David John Lary, Rick McGeer, Glenn Ricart, Marko Röder, Yvonne Coady, Ulrike Stege

SIGMETRICS Perform. Evaluation Rev., 2015

The Ignite Distributed Collaborative Scientific Visualization System.

Sushil Bhojwani, Matthew Hemmings, Daniel Ingalls, Jens Lincke, Robert Krahn, David John Lary, Patrick C. McGeer, Glenn Ricart, Marko Röder, Yvonne Coady, Ulrike Stege

Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015

2014

Holistics 3.0 for Health.

David John Lary, Steven H. Woolf, Fazlay Faruque, James P. LePage

ISPRS Int. J. Geo Inf., 2014

2012

Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles.

Amir Khan, David Schaefer, Lei Tao, David J. Miller, Kang Sun, Mark A. Zondlo, William A. Harrison, Bryan Roscoe, David John Lary

Remote. Sens., 2012

Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing.

Nabin K. Malakar, David John Lary, A. Moore, D. Gencaga, Bryan Roscoe, Arif Albayrak, Jennifer Wei

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2009

Machine Learning and Bias Correction of MODIS Aerosol Optical Depth.

David John Lary, Lorraine Remer, Devon MacNeill, Bryan Roscoe, Susan Paradise

IEEE Geosci. Remote. Sens. Lett., 2009

2007

A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space.

Christopher P. Loughner, David John Lary, Lynn C. Sparling, Ronald C. Cohen, Phil DeCola, William R. Stockwell

IEEE Trans. Geosci. Remote. Sens., 2007

Autonomous Objectively Optimized Observing Systems.

David John Lary

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006

Using probability distribution functions for satellite validation.

David John Lary, Leslie Lait

IEEE Trans. Geosci. Remote. Sens., 2006

Building Structure-Property Predictive Models Using Data Assimilation.

Hamse Y. Mussa, David John Lary, Robert C. Glen

Proceedings of the Computational Life Sciences II, 2006