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09/14/2022
Reduced models with nonlinear approximations of latent dynamics for model premixed flame problems
Efficiently reducing models of chemically reacting flows is often challe...
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11/28/2021
Code Clone Detection based on Event Embedding and Event Dependency
The code clone detection method based on semantic similarity has importa...
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08/06/2020
Data-driven reduced-order models via regularized operator inference for a single-injector combustion process
This paper derives predictive reduced-order models for rocket engine com...
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08/09/2019
Learning physics-based reduced-order models for a single-injector combustion process
This paper presents a physics-based data-driven method to learn predicti...
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08/01/2019
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Accurate day-ahead individual resident load forecasting is very importan...
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04/05/2016
Isolate First, Then Share: a New OS Architecture for Datacenter Computing
This paper presents the "isolate first, then share" OS model in which th...
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11/04/2015