Process-Aware Deep Learning for Low-Cost Greenhouse Gas Sensing: Insights from Composting toward Scalable Anthropogenic Activities Applications
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Greenhouse gases (GHGs) monitoring is essential for mitigating emissions from anthropogenic activities, yet the deployment of high-precision analyzers remains constrained by cost and operational complexity. Low-cost GHGs sensors often suffer from signal drift,... ...
