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Found 2 papers, 1 papers with code
Semi-Supervised Audio Representation Learning for Modeling Beehive Strengths
To start addressing this pressing challenge, we developed an integrated hardware sensing system for beehive monitoring through audio and environment measurements, and a hierarchical semi-supervised deep learning model, composed of an audio modeling module and a predictor, to model the strength of beehives.
HVAQ: A High-Resolution Vision-Based Air Quality Dataset
The main contribution of this paper is that to the best of our knowledge, it is the first publicly available, high temporal and spatial resolution air quality dataset containing simultaneous point sensor measurements and corresponding images.
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