Classification of JPEG Files by Using Extreme Learning Machine
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-72550-5_4
Reference15 articles.
1. Abdullah, N., Ibrahim, R., Mohamad, K.: Cluster size determination using JPEG files. In: 2012 Computational Science and Its Applications–ICCSA, pp. 353–363 (2012)
2. Mohammed, M.A., Gani, M.K. A., Hamed, R.I., Mostafa, S.A., Ahmad, M.S., Ibrahim, D.A.: Solving vehicle routing problem by using improved genetic algorithm for optimal solution. J. Comput. Sci. (2017)
3. Amirani, M.C., Toorani, M., Mihandoost, S.: Feature-based type identification of file fragments. Secur. Commun. Netw. 6(1), 115–128 (2013)
4. Qiu, W., Zhu, R., Guo, J., Tang, X., Liu, B., Huang, Z.: A new approach to multimedia files carving. In: 2014 IEEE International Conference on Bioinformatics and Bioengineering (BIBE), pp. 105–110. IEEE, Nov 2014
5. Veenman, C.J.: Statistical disk cluster classification for file carving. In: 2007 Third International Symposium on Information Assurance and Security, IAS 2007, pp. 393–398. IEEE, Aug 2007
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