Adam R. Aker

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Autonomous Robotic

Machine Learning

Hyperspectral Imaging

Top Venues

Publications

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
Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping. Remote. Sens. 16 (13) (2024)
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
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction. Remote. Sens. 16 (6) (2024)
Shawhin Talebi, David J. Lary, Lakitha O. H. Wijeratne, Bharana Fernando, Tatiana Lary, Matthew D. Lary, John Sadler, Arjun Sridhar, John Waczak, Adam R. Aker, Yichao Zhang
Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales. Sensors 22 (11) (2022)
David J. 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
Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning. Sensors 21 (6) (2021)
Lakitha O. H. Wijeratne, Daniel R. Kiv, Adam R. Aker, Shawhin Talebi, David J. Lary
Using Machine Learning for the Calibration of Airborne Particulate Sensors. Sensors 20 (1) (2020)