A Fast and Compact Hybrid CNN for Hyperspectral Imaging-based Bloodstain Classification-Reference-Cited by-同舟云学术

A Fast and Compact Hybrid CNN for Hyperspectral Imaging-based Bloodstain Classification

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Butt Muhammad Hassaan Farooq¹,Ayaz Hamail²,Ahmad Muhammad³,Li Jian Ping¹,Kuleev Ramil⁴

Affiliation:

1. School of Computer Science and Engineering, and Technology of China,Chengdu,Sichuan,China,611731

2. Materials and Manufacturing Research, Atlantic Technological University,Faculty of Engineering and Design and Centre for Precision Engineering,Sligo,Ireland

3. National University of Computer and Emerging Sciences,Department of Computer Science,Chiniot,Pakistan,35400

4. Research Center for Artificial Intelligence Innopolis University,Innopolis,Russia,420500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870277.pdf?arnumber=9870277

Reference59 articles.

1. Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

2. Advanced Spectral Classifiers for Hyperspectral Images: A review

3. Preliminary Observations on the Ability of Hyperspectral Imaging to Provide Detection and Visualization of Bloodstain Patterns on Black Fabrics

4. A Blue Spectral Shift of the Hemoglobin Soret Band Correlates with the Age (Time Since Deposition) of Dried Bloodstains

5. Trends of chemometrics in bloodstain investigations

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