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LSTM Based Multiple Squashing Functions Deep Learning Model for Advanced Traffic Management System Attack Detection
2018 IEEE 14th International Conference on Control and Automation (ICCA)
◽
10.1109/icca.2018.8444142
◽
2018
◽
Cited By ~ 1
Author(s):
Chethana Dukkipati
◽
Yunpeng Zhang
◽
Liang Chieh Cheng
Keyword(s):
Deep Learning
◽
Traffic Management
◽
Management System
◽
Learning Model
◽
Attack Detection
◽
Traffic Management System
◽
Advanced Traffic Management System
◽
Deep Learning Model
Download Full-text
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References
Implementation of the Advanced Traffic Management System using k-Nearest Neighbor Algorithm
2020 International Conference on Information Technology Systems and Innovation (ICITSI)
◽
10.1109/icitsi50517.2020.9264952
◽
2020
◽
Author(s):
Muchammad Arfan Lusiandro
◽
Surya Michrandi Nasution
◽
Casi Setianingsih
Keyword(s):
Traffic Management
◽
Management System
◽
Nearest Neighbor
◽
K Nearest Neighbor
◽
Nearest Neighbor Algorithm
◽
K Nearest Neighbor Algorithm
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
Development of COMPASS an advanced traffic management system
Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference
◽
10.1109/vnis.1993.585616
◽
2002
◽
Cited By ~ 1
Author(s):
J.K. Lam
◽
J. Kerr
◽
P. Korpal
◽
C. Rayman
Keyword(s):
Traffic Management
◽
Management System
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
San Antonio advanced traffic management system
Proceedings of IEEE International Conference on Systems, Man and Cybernetics
◽
10.1109/icsmc.1994.400097
◽
2002
◽
Cited By ~ 1
Author(s):
V.P. Pearce
Keyword(s):
Traffic Management
◽
Management System
◽
San Antonio
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
A Spiral Development Model for an Advanced Traffic Management System (ATMS) Architecture Based on Prototype
International Journal of Science Technology and Society
◽
10.11648/j.ijsts.20150306.15
◽
2015
◽
Vol 3
(6)
◽
pp. 304
Author(s):
Junping Xie
Keyword(s):
Traffic Management
◽
Management System
◽
Development Model
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
Incident detection algorithms for COMPASS - An advanced traffic management system
10.1109/vnis.1991.205776
◽
1991
◽
Keyword(s):
Traffic Management
◽
Management System
◽
Incident Detection
◽
Detection Algorithms
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
Meteorological development for the advanced traffic management system
10.2514/6.1995-60
◽
1995
◽
Author(s):
Richard Jesuroga
◽
Mark Jackson
◽
Greg Pratt
Keyword(s):
Traffic Management
◽
Management System
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
AOPL: Attention Enhanced Oversampling and Parallel Deep Learning Model for Attack Detection in Imbalanced Network Traffic
10.1007/978-3-030-86130-8_7
◽
2021
◽
pp. 84-95
Author(s):
Leiqi Wang
◽
Weiqing Huang
◽
Qiujian Lv
◽
Yan Wang
◽
HaiYan Chen
Keyword(s):
Deep Learning
◽
Network Traffic
◽
Learning Model
◽
Attack Detection
◽
Deep Learning Model
Download Full-text
Incident Detection Algorithms for COMPASS - An Advanced Traffic Management System
10.4271/912767
◽
1991
◽
Cited By ~ 2
Author(s):
Philip H. Masters
◽
Joseph K. Lam
◽
Kam Wong
Keyword(s):
Traffic Management
◽
Management System
◽
Incident Detection
◽
Detection Algorithms
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
Advanced Traffic Management System automation
Proceedings of the IEEE
◽
10.1109/5.47727
◽
1989
◽
Vol 77
(11)
◽
pp. 1643-1652
◽
Cited By ~ 5
Author(s):
M.F. Medeiros
Keyword(s):
Traffic Management
◽
Management System
◽
Traffic Management System
◽
Advanced Traffic Management System
Download Full-text
Internet of Things attack detection using hybrid Deep Learning Model
Computer Communications
◽
10.1016/j.comcom.2021.05.024
◽
2021
◽
Author(s):
Amiya Kumar Sahu
◽
Suraj Sharma
◽
M. Tanveer
◽
Rohit Raja
Keyword(s):
Deep Learning
◽
Internet Of Things
◽
Learning Model
◽
Attack Detection
◽
Deep Learning Model
Download Full-text
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