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Found 5 papers, 1 papers with code
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems
However, approaching towards lean combustion can make engines more susceptible to lean blowout.
Cross-Modal Virtual Sensing for Combustion Instability Monitoring
However, flame imaging is not a common sensing modality in engine combustors today.
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
3D-CSAE consists of filters to learn, in a hierarchical fashion, the complex visual and dynamic features related to combustion instability.
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Accurate interpretation of such prediction outcomes from a machine learning model that explicitly captures temporal correlations can significantly benefit the domain experts.
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Accurate prediction of crop yield supported by scientific and domain-relevant insights, can help improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production including erratic rainfall and temperature variations.
