GitHub / SarwanShah / ASU_2023_Wind_Speed_Estimation_Using_Machine_Learning
This repository showcases work on a project that involved estimating wind speed using audio data from two closely spaced microphones on an ESP32 embedded system, leveraging machine learning to analyze wind noise correlation.
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PURL: pkg:github/SarwanShah/ASU_2023_Wind_Speed_Estimation_Using_Machine_Learning
Stars: 1
Forks: 0
Open issues: 0
License: cc0-1.0
Language: Jupyter Notebook
Size: 40.6 MB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 4 months ago
Topics: convolutional-neural-networks, deep-learning, embedded-machine-learning, embedded-systems, meteorology, sensor-design