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Self-Detecting Traffic Interference Control for Multi-Zone Services under 5G-Based Cellular Networks
(Sensors (Basel), 2021)
In this paper, we propose a multi-zone service control scheme to maximize the performance of each service zone when a large number of cellular service zones and Device-to-Device (D2D) service zones are composed into the ...
Automatic Detection and Recognition of Text-Based Traffic Signs from Images
(Ieee-inst Electrical Electronics Engineers Inc, 2018-12-01)
Detection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented ...
Evaluation of algorithms for traffic sign detection
(2019-09)
Traffic sign detection is a crucial task in autonomous driving systems. Due to its importance, several techniques have been used to solve this problem. In this work, the three more common approaches are evaluated. The first ...
Evaluation of algorithms for traffic sign detection
(2019-09-06)
Traffic sign detection is a crucial task in autonomous driving systems. Due to its importance, several techniques have been used to solve this problem. In this work, the three more common approaches are evaluated. The first ...
Part of the studies in computational intelligence book series
(Springer, Cham, 2020-11)
Nowadays, machine learning algorithms are trendy and are used to solve different problems of autonomous vehicles obtaining good results. Among these algorithms, deep learning has emerged as an excellent alternative to ...
An Empirical Comparison of Botnet Detection Methods
(Elsevier, 2014-06)
The results of botnet detection methods are usually presented without any comparison. Although it is generally accepted that more comparisons with third-party methods may help to improve the area, few papers could do it. ...
Analysis And Classification Of Methods For Network Attack Detection
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2016)
Mental representation of traffic signs and their classification: informative signs
(2021)
The effect of traffic signs in the driving behavior is not fully understood yet. The knowledge of humans’ cognitive processing of the meaning of traffic signs will improve response time to those signs and the decision ...