Observations & remote sensing

ARMing the Edge: Designing Edge Computing–Capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing

Robert C. Jackson, Bhupendra Raut, Darío Demattíes, Scott Collis, Nicola Ferrier, Pete Beckman, Rajesh Sankaran, Yongho Kim, Seongha Park, Sean Shahkarami, Rob Newsom

Artificial Intelligence for the Earth Systems · 05 June 2023 · Argonne National Laboratory

PaperPDF

In one sentence. ResNet50 classifier on an edge device classifies ARM Doppler lidar cloud and clear-air images with 97.6% and 94.7% accuracy.

Labels

Topic

Observations & remote sensing, Software, scaling & compression

Type

Application study

Method

CNN / U-Net, Classical ML (trees, GP, linear, kernels)

Domain

Local / station

Data

Other

Status

Research

Identifiers

DOI:10.1175/aies-d-22-0062.1 OpenAlex:W4379389532

Added

2026-10-22

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