Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zadid Khan"'
Publikováno v:
IEEE Access, Vol 10, Pp 31031-31042 (2022)
Due to the drastic increase in the volume of data generated by connected vehicles (CVs), future vehicle-to-infrastructure (V2I) applications will require a communication medium that offers high-speed and high bandwidth communication while maintaining
Externí odkaz:
https://doaj.org/article/6626a6d3c24440e3a9635ac83c600261
Publikováno v:
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure ISBN: 9780367823467
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52db76e0cd312533e9c13bb19dc4102e
https://doi.org/10.1201/9780367823467-14
https://doi.org/10.1201/9780367823467-14
Publikováno v:
Journal of Industrial & Management Optimization. 17:1315-1341
The emergence of electric vehicle wireless charging technology, where a whole lane can be turned into a charging infrastructure, leads to new challenges in the design and analysis of road networks. From a network perspective, a major challenge is det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ac27bc6b12cd9974090bdf6cfad9c9e
https://doi.org/10.3934/jimo.2020023
https://doi.org/10.3934/jimo.2020023
Publikováno v:
IEEE Sensors Letters. 4:1-4
In this letter, we create two types of attacks to investigate in-vehicle network security: replay attack and amplitude-shift attack. We use these two attacks to create attack datasets from two attack-free in-vehicle controller area network bus datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4201dafdf9493d751dbc706fe3bd56f5
https://doi.org/10.1109/lsens.2020.2993522
https://doi.org/10.1109/lsens.2020.2993522
Adversarial attacks can make deep neural network (DNN) models predict incorrect output labels, such as misclassified traffic signs, for autonomous vehicle (AV) perception modules. Resilience against adversarial attacks can help AVs navigate safely on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c9f2a8704deedf9cdf5d19e749a22b
https://doi.org/10.36227/techrxiv.19071824.v1
https://doi.org/10.36227/techrxiv.19071824.v1
Autor:
M Sabbir Salek, Sakib Mahmud Khan, Mizanur Rahman, Hsien-Wen Deng, Mhafuzul Islam, Zadid Khan, Mahsrur Chowdhury, Mitch Shue
In an internet-of-things (IoT) environment, cloud computing is emerging as a technologically feasible and economically viable solution for supporting real-time and non-real-time connected vehicle (CV) applications due to its unlimited storage, enormo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ad1eae771171079a2b6c90a522fe294
https://doi.org/10.36227/techrxiv.17429510.v1
https://doi.org/10.36227/techrxiv.17429510.v1
Due to the gradual increase in the volume of data generated by connected vehicles (CV), future vehicle-to-infrastructure (V2I) applications will require a communication medium that offers high-speed (high bandwidth) while maintaining reliability in h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00d4a942080c1ba7086a93ad505bedeb
https://doi.org/10.36227/techrxiv.17139908
https://doi.org/10.36227/techrxiv.17139908
A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast number of calculations simultaneously compared to classical computers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02778dc7775a2248a26c526034dd600d
https://doi.org/10.36227/techrxiv.17097230.v1
https://doi.org/10.36227/techrxiv.17097230.v1
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2673:489-503
The prediction of high-resolution hourly traffic volumes of a given roadway is essential for transportation planning. Traditionally, automatic traffic recorders (ATR) are used to collect these hourly volume data. These large datasets are time-series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa48c9855b51307f3c3ffb646f0236a3
https://doi.org/10.1177/0361198119849059
https://doi.org/10.1177/0361198119849059