Coverless Image Steganography Based on Optical Mark Recognition and Machine Learning

Autor: Al Hussien S. Saad, M. S. Mohamed, Eslam H. Hafez

Publikováno v: IEEE Access, Vol 9, Pp 16522-16531 (2021)

The most significant factor to consider during private information transmission through the internet (i.e., insecure channel) is security. So, to keep this data from unauthorized access during transmission, steganography is used. Steganography is the

Externí odkaz: https://doaj.org/article/b10c647467604b9c9f6c7ad6c6ffce86

Contribution of Machine Learning to Rail Transport Safety

Autor: Hadj-Mabrouk, Habib

Publikováno v: Advances of Machine Learning in Clean Energy and the Transportation Industry
In P. Vasant, V. Kharchenko, J. Thomas, G-W. Weber and V. Panchenko (Eds.). Advances of Machine Learning in Clean Energy and the Transportation Industry, Chapter 10, Nova Science Publishers, pp.277-312, 2021, ISBN: 978-1-68507-211-7. ⟨10.52305/SJDR3905⟩

International audience; The seriousness and negative consequences of accidents and incidents in rail transport have forced all players in the rail system to set up an "experience feedback" system (REX) in order to improve operational safety. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::97e6b78f32d3283c2a585b6f306f06a2
https://hal.archives-ouvertes.fr/hal-03423489

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