PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra
Use of NS1 as a biomarker in saliva has led to the non-invasive and early detection of Flaviviridae related diseases. Saliva is preferred as medium of detection because of its advantages such as non-invasive, painless and easy to collect. Work here intends to compare the performance of KELM classifi...
| الحاوية / القاعدة: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| المؤلف الرئيسي: | |
| التنسيق: | Conference paper |
| اللغة: | English |
| منشور في: |
Springer Verlag
2019
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064567961&doi=10.1007%2f978-3-030-14802-7_31&partnerID=40&md5=ef253db1708c103010e92a304f58cd7f |