Software

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
Procter & Gamble Company, Modeling Multi-Stage Manufacturing Processes and Related Problems
AI for quality prediction in Manufacturing Systems
Procter & Gamble Company, Modeling Multi-Stage Manufacturing Processes and Related Problems
A multiport power conversion system for the more electric aircraft
A multiport power conversion system for the more electric aircraft
Anatomically-Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection
Compared with the rapidly growing artificial intelligence (AI) research in other branches of healthcare, the pace of developing AI …
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Comments on— On Active Learning Methods for Manifold Data
Comments on: On Active Learning Methods for Manifold Data
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