Identification of Missing Person Using Fusion of KNN and SVM Approach-Reference-Cited by-同舟云学术

Identification of Missing Person Using Fusion of KNN and SVM Approach

Published:2022 Issue: Volume: Page:537-545
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Rathor Sandeep,Hasan Afreen,Omar Ankur

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8892-8_40

Reference15 articles.

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2. Z. Domozi, D. Stojcsics, A. Benhamida, M. Kozlovszky, A. Molnar, Real time object detection for aerial search and rescue missions for missing persons, in 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE) (IEEE, June 2020), pp. 000519–000524

3. S. Balaji, R. Saravanan, P. Pavadharani, I. Deepalakshmi, S. Suvetha, A survey on facial recognition techniques and stipulated algorithms. J. Interdiscip. Cycle Res., 1120–1126 (2020)

4. P.S. Chandran, N.B. Byju, R.U. Deepak, K.N. Nishakumari, P. Devanand, P.M. Sasi, Missing child identification system using deep learning and multiclass SVM, in 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS) (IEEE , December 2018), pp. 113–116

5. G.C. Iannacone, R.C. Parra, Genetic structure and kinship analysis from the Peruvian Andean area: limitations and recommendation for DNA identification of missing persons, in Forensic Science and Humanitarian Action: Interacting with the Dead and the Living (2020), pp. 473–489

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