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01/06/2021
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems
While analytical solutions of critical (phase) transitions in physical s...
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02/06/2017
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data
This paper proposes a hierarchical feature extractor for non-stationary ...
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02/03/2017
Energy Prediction using Spatiotemporal Pattern Networks
This paper presents a novel data-driven technique based on the spatiotem...
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08/17/2016
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge
Crop yield forecasting is the methodology of predicting crop yields prio...
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03/25/2016
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
This paper proposes an end-to-end convolutional selective autoencoder ap...
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03/25/2016
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection
This paper proposes a novel selective autoencoder approach within the fr...
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11/12/2015