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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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2 results for “biodegradability”

Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Predictioncs.LG

DeepBioD combines feature engineering and learned representations for biodegradability prediction.

problem Limited labeled data for biodegradability prediction.

method Developed a multimodal CNN-MLP neural network that integrates engineered and learned representations.

result DeepBioD achieves an error rate of 0.125, 27% lower than state-of-the-art methods.

deep learning biodegradability neural networks feature engineering representation learning

2018-08-13abs ↗pdf ↗

Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Pondsstat.AP

Model predicts methane emissions from oil sands tailing ponds, suggesting significant environmental impact.

problem Estimating methane emissions from inactive oil sands tailing ponds.

method Physics constrained machine learning model using real-time weather data and laboratory experiments.

result Active oil sands tailing ponds emit between 950 to 1500 tonnes of methane per year, equivalent to 6000 gasoline vehicles.

methane emissions oil sands tailing ponds machine learning greenhouse gases climate impact

2024-11-11abs ↗pdf ↗