Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maged Shoman"'
Publikováno v:
Algorithms, Vol 17, Iss 5, p 202 (2024)
In this study, we introduce an innovative methodology for the detection of helmet usage violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep convolutional generative adversarial networks (DCGANs). The objective
Externí odkaz:
https://doaj.org/article/85f5f86706574ce99af185f726e1a398
Publikováno v:
Advances in Data Science and Adaptive Analysis. 14
This study proposes a data fusion and deep learning (DL) framework that learns high-level traffic features from network-level images to predict large-scale, multi-route, speed and volume of connected vehicles (CVs). We present a scalable and parallel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af86c4ca38db5ec9420ae6ee0bae96fc
https://doi.org/10.1142/s2424922x22500103
https://doi.org/10.1142/s2424922x22500103
Publikováno v:
Journal of Big Data Analytics in Transportation. 2:275-290
Accurate prediction of bus delays improves transit service delivery and can potentially increase passenger use and satisfaction. To date, models developed for predicting bus delays have been restricted to single routes because of their poor performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f241a556f1de1e073b9c406249f7ad09
https://doi.org/10.1007/s42421-020-00031-y
https://doi.org/10.1007/s42421-020-00031-y
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning models that enable automated product counting for fast customer check
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a6734724d73624b6f8dfec06ef40ed
Autor:
Maged Shoman, Ana Tsui Moreno
The growth of ride-hailing (RH) companies over the past few years has affected urban mobility in numerous ways. Despite widespread claims about the benefits of such services, limited research has been conducted on the topic. This paper assesses the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::772dc8a4d49a719eb86e4797b177ebe3
Autor:
Armstrong Aboah, Vishal Mandal, Anuj Sharma, Sayedomidreza Davami, Maged Shoman, Yaw Adu-Gyamfi
Publikováno v:
CVPR Workshops
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powered by Deep Learning for extracting anomalies from traffic cameras whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5bc42b3aaaf3b6bb42c3c4e302b538