Zobrazeno 1 - 10
of 66
pro vyhledávání: '"rule-based machine learning (RBML)"'
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
Autor:
Habib Hadj-Mabrouk
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 4, Iss 1, Pp 19-46 (2020)
The harmful consequences of rail accidents, which sometimes lead to loss of life and the destruction of the system and its environment, are at the basis of the implementation of a "experience feedback" (REX) system considered as the essential means t
Externí odkaz:
https://doaj.org/article/ec598a64b7854eb197cd323424ac1bdc
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⟩
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
https://hal.archives-ouvertes.fr/hal-03423489
Autor:
Yones, Sara A.1 (AUTHOR) sara.younes@icm.uu.se, Annett, Alva1 (AUTHOR), Stoll, Patricia2 (AUTHOR), Diamanti, Klev3 (AUTHOR), Holmfeldt, Linda3 (AUTHOR), Barrenäs, Carl Fredrik1 (AUTHOR), Meadows, Jennifer R. S.4 (AUTHOR), Komorowski, Jan1,5,6,7 (AUTHOR) jan.komorowski@icm.uu.se
Publikováno v:
Scientific Reports. 5/6/2022, Vol. 12 Issue 1, p1-10. 10p.
Akademický článek
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Machine learning models that automate decision-making are increasingly being used in consequential areas such as loan approvals, pretrial bail approval, hiring, and many more. Unfortunately, most of these models are black-boxes, i.e., they are unable
Externí odkaz:
http://arxiv.org/abs/2402.04382
Autor:
Padalkar, Parth, Gupta, Gopal
Within the realm of deep learning, the interpretability of Convolutional Neural Networks (CNNs), particularly in the context of image classification tasks, remains a formidable challenge. To this end we present a neurosymbolic framework, NeSyFOLD-G t
Externí odkaz:
http://arxiv.org/abs/2310.13073
Autor:
Hadj‐Mabrouk, Habib
Publikováno v:
IET Intelligent Transport Systems (Wiley-Blackwell); Dec2024, Vol. 18 Issue 12, p2291-2324, 34p
Publikováno v:
International Journal of Systems Assurance Engineering & Management; Dec2024, Vol. 15 Issue 12, p5637-5652, 16p
Akademický článek
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