Implementation of machine learning techniques to denoise and unmix TEM spectroscopic dataset
Rapid advancement in Transmission Electron Microscopy (TEM) instrumentation has led to better acquisition of high-resolution, nanoscale images, allowing material scientists to obtain in-depth analysis of material samples with complex designs. Concurrently, however, it has resulted in highly mixed da...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/73745 |
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| Institution: | Nanyang Technological University |
| Language: | English |