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Publication Date
2020
First Advisor
Christopher Conley
Document Type
Honors Project
Degree Name
Bachelor of Science
Department
Engineering
Keywords
Data analytics, Machine learning, Deep learning, GEM 5000 blood gas analyzer, Oxygen sensor, Health monitoring
Rights
2020 Junyuan Shi. Access limited to the Smith College community and other researchers while on campus. Smith College community members also may access from off-campus using a Smith College log-in. Other off-campus researchers may request a copy through Interlibrary Loan for personal use.
Language
English
Recommended Citation
Shi, Junyuan, "Predicting impending failure of an electro-chemical sensor" (2020). Honors Project, Smith College, Northampton, MA.
https://scholarworks.smith.edu/theses/2262
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Off Campus Download
Comments
12 pages : color illustrations. Includes bibliographical references (page 12)