Software

Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection
This paper develops a unified framework for training and deploying deep neural networks on the edge computing framework for image …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Sequential event prediction is a well-studied area and has been widely used in proactive management, recommender systems and …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Image Decomposition-Based Sparse Extreme Pixel-Level Feature Detection Model with Application to Medical Images
Pixel-level feature detection from images is an essential but challenging task encountered in domains such as detecting defects in …
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Real-Time Detection of Clustered Events in Video-Imaging Data with Applications to Additive Manufacturing
The use of video-imaging data for in-line process monitoring applications has become more and more popular in the industry. In this …
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
Variational autoencoders have been recently proposed for the problem of process monitoring. While these works show impressive results …
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. …
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Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
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DOE SETO, Photovoltaic Plant Predictive Maintenance Optimization under Uncertainties Using Probabilistic Information Fusion
Predictive Maintenance for Solar PV Plant
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DOE SETO, Photovoltaic Plant Predictive Maintenance Optimization under Uncertainties Using Probabilistic Information Fusion
Multi-Sensor Prognostics Modeling for Applications with Highly Incomplete Signals
Multi-stream degradation signals have been widely used to predict the residual useful lifetime of partially degraded systems. To …
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NSF CMMI OE, Hybridizing Data and Model Driven Approaches for Proactive Production Control
Data-driven control for Manufacturing Systems
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NSF CMMI OE, Hybridizing Data and Model Driven Approaches for Proactive Production Control