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Synergy of Engineering and Statistics: Multimodal Data Fusion for Quality Improvement
Jianjun Shi
, Michael Biehler
,
Shancong Mou
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
Overview
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Dive into the research topics of 'Synergy of Engineering and Statistics: Multimodal Data Fusion for Quality Improvement'. Together they form a unique fingerprint.
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Keyphrases
Multimodal Data Fusion
100%
Data Systems
33%
Data Integration
33%
Data Science
33%
High-dimensional Data
33%
Machine Learning System
33%
Systems Theory
33%
Process Control
33%
Process Monitoring
33%
Theory of Science
33%
Change Detection
33%
Process Diagnosis
33%
Rich Systems
33%
Sensing Data
33%
Defect Inspection
33%
In-process Sensing
33%
Root Cause Diagnosis
33%
Defect Prevention
33%
Automatic Compensation
33%
Engineering
Engineering
100%
Sensing Data
100%
Dimensional Data
50%
Process Monitoring
50%
Process Control
50%
Learning System
50%
Biochemistry, Genetics and Molecular Biology
Process Monitoring
100%
Computer Assisted Diagnosis
100%