Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mahta Zakaria"'
Publikováno v:
Advances in Bridge Engineering, Vol 3, Iss 1, Pp 1-18 (2022)
Abstract Conventional methods for bridge inspection are labor intensive and highly subjective. This study introduces an optimized approach using real-time learning-based computer vision algorithms on edge devices to assist inspectors in localizing an
Externí odkaz:
https://doaj.org/article/2ce6ada1578f42cfa42f8d3a2d5142d2
Autor:
Fikret Necati Catbas, Furkan Luleci, Mahta Zakaria, Ulas Bagci, Joseph J. LaViola, Carolina Cruz-Neira, Dirk Reiners
Publikováno v:
Sensors, Vol 22, Iss 23, p 9560 (2022)
Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil structures. Utilization of emerging immersive visualization technologies such as Virtual Realit
Externí odkaz:
https://doaj.org/article/5a127342fed541ee930aa2e655c9f541
Autor:
Enes Karaaslan, Mahta Zakaria, Tolga Ercan, Burak Sen, Haluk Laman, Mohamadreza Banihashemi, James Pol
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:991-998
Adversarial attacks pose serious traffic safety risks that could potentially impede the deployment of automated driving systems (ADS). Recent discoveries show that imperceptible perturbations (also referred to as adversarial attacks) to inputs of dee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56399d7a5694188b53ba65f33331c407
https://doi.org/10.1177/03611981221119465
https://doi.org/10.1177/03611981221119465
Publikováno v:
Structures Congress 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5722917b8bbd5c0310fa981a7cdccbf
https://doi.org/10.1061/9780784484777.012
https://doi.org/10.1061/9780784484777.012
