Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Essentially, determination model for degree of injury is crucial for refining diagnostic and increasing accuracy of the Forensic and Medicolegal services. Existing models are deemed difficult in identifying the critical features. These are due to the model having insufficient of critical features an...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/28268/1/Hybrid%20neural%20network%20in%20medicolegal%20degree%20of%20injury%20determination%20based%20on%20Visum%20et%20Repertum.pdf http://eprints.utem.edu.my/id/eprint/28268/2/Hybrid%20neural%20network%20in%20medicolegal%20degree%20of%20injury%20determination%20based%20on%20Visum%20et%20Repertum.pdf |
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http://eprints.utem.edu.my/id/eprint/28268/1/Hybrid%20neural%20network%20in%20medicolegal%20degree%20of%20injury%20determination%20based%20on%20Visum%20et%20Repertum.pdfhttp://eprints.utem.edu.my/id/eprint/28268/2/Hybrid%20neural%20network%20in%20medicolegal%20degree%20of%20injury%20determination%20based%20on%20Visum%20et%20Repertum.pdf