An Automatic Detection of Military Objects and Terrorism Classification System Based on Deep Transfer Learning-Reference-Cited by-同舟云学术

An Automatic Detection of Military Objects and Terrorism Classification System Based on Deep Transfer Learning

Published:2020 Issue: Volume: Page:594-603
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

El-Din Doaa Mohey,Hassanein Aboul Ella,Hassanien Ehab E.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44289-7_56

Reference27 articles.

1. Gohar, F., Haider, W., Qamar, U.: Terrorist group prediction using data classification. In: The International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2014). Asia Pacific University of Technology and Innovation (APU) (2014)

2. Tinguria, D., Kumar, B.: Detecting terror- related activities on the web using neural network. Orient. J. Comput. Sci. Technol. 3(2), 331–336 (2010)

3. Ritchie, H., Hasell, J., Appel, C., Roser, M.: Terrorism. OurWorldInData.org (2019). https://ourworldindata.org/terrorism

4. Institute for Economics and Peace: Global Terrorism Index 2019, Measuring the Impact of Terrorism, Sydney (2019). http://visionofhumanity.org/reports

5. Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627–1645 (2010)

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