Utilizing chemical domain knowledge and machine learning for nanoparticle and biochemical spectroscopic analysis
Rapid and accurate chemical analysis is desirable in many scientific and technological fields but remains challenging. This thesis demonstrates the integration of domain knowledge-driven feature engineering and machine learning (ML) with UV-vis and SERS spectroscopic analyses for high-throughput...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182230 |