Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jahongir Azimjonov"'
Publikováno v:
IEEE Access, Vol 11, Pp 88025-88039 (2023)
This paper focuses on enhancing machine learning (ML)-based diagnosis and clinical decision-making by leveraging radiomics data, which provides a quantitative description of grayscale medical images such as MRI, CT, PET, or X-Ray. Extracted using adv
Externí odkaz:
https://doaj.org/article/ab8e49f1626140c798bd2674aec4138c
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets. Various intrusion detection systems approaches have been
Externí odkaz:
https://doaj.org/article/f1f2e5f797fa42dd92143e2d64b1b3f3
In this study, a vision based real-time traffic flow monitoring system has been developed to extract statistics passes through the intersections. A novel object tracking and data association algorithms have been developed using the bounding-box prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18dafb8a89319a5ef73b446b16766634
https://hdl.handle.net/20.500.14002/1556
https://hdl.handle.net/20.500.14002/1556
Autor:
Jahongir Azimjonov, Ahmet Özmen
Publikováno v:
Computers & Electrical Engineering. 97:107560
In this study, a new bounding-box based vehicle tracking algorithm is presented to extract statistical information in the highway traffic. A novel shaking filter and a new voting approach are employed in the vehicle detection and tracking phases to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966dd9fd0a356db95e230aa470d99d02
https://doi.org/10.1016/j.compeleceng.2021.107560
https://doi.org/10.1016/j.compeleceng.2021.107560
Autor:
Ahmet Özmen, Jahongir Azimjonov
Publikováno v:
Advanced Engineering Informatics. 50:101393
Real-time highway traffic monitoring systems play a vital role in road traffic management, planning, and preventing frequent traffic jams, traffic rule violations, and fatal road accidents. These systems rely entirely on online traffic flow info esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50e44249dea548b6ec80fb5fb7a73cf
https://doi.org/10.1016/j.aei.2021.101393
https://doi.org/10.1016/j.aei.2021.101393
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets. Various intrusion detection systems approaches have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2ad3e48aef098070e243e0f62745855
https://doi.org/10.1177/15501477211052202
https://doi.org/10.1177/15501477211052202