Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
A Master of Science thesis in Engineering Systems Management by Lubna Syeda Mahmood entitled, “Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems”, submitted in November 2021. Thesis advisor is Dr. Zied Bahroun and thesis co-advisor is Dr. Mehdi Ghommem...
Saved in:
| Main Author: | |
|---|---|
| Format: | doctoralThesis |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/21614 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | A Master of Science thesis in Engineering Systems Management by Lubna Syeda Mahmood entitled, “Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems”, submitted in November 2021. Thesis advisor is Dr. Zied Bahroun and thesis co-advisor is Dr. Mehdi Ghommem. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
|---|