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found 442 matches

• 2019
• 
  Cen Wang, Hongxiang Guo, Xiong Gao, Yanhu Chen, Yinan Tang, Jian Wu:
  Efficient Topology Reconstruction via Machine Learning Based Traffic Patterns Recognition in Optically Interconnected Computing System. IEEE Access 7: 28548-28558 (2019)
• 
  Qiang Wang, Wei Liu, Tian Wang, Ming Zhao, Xiong Li, Mande Xie, Ming Ma, Guoping Zhang, Anfeng Liu:
  Reducing Delay and Maximizing Lifetime for Wireless Sensor Networks With Dynamic Traffic Patterns. IEEE Access 7: 70212-70236 (2019)
• 
  Ke Yu, Lifang He, Philip S. Yu, Wenkai Zhang, Yue Liu:
  Coupled Tensor Decomposition for User Clustering in Mobile Internet Traffic Interaction Pattern. IEEE Access 7: 18113-18124 (2019)
• 
  Pengcheng Wang, Guizhen Yu, Xinkai Wu, Yunpeng Wang, Xiaozheng He:
  Spreading Patterns of Malicious Information on Single-Lane Platooned Traffic in a Connected Environment. Comp.-Aided Civil and Infrastruct. Engineering 34(3): 248-265 (2019)
• 
  Jinoh Kim, Alex Sim, Brian Tierney, Sang C. Suh, Ikkyun Kim:
  Multivariate network traffic analysis using clustered patterns. Computing 101(4): 339-361 (2019)
• 
  Yu Shang, Bingli Guo, Xin Li, Xinzhu Sang, Shanguo Huang:
  Traffic Pattern Adaptive Hybrid Electrical and Optical Switching Network for HPC System. IEEE Communications Letters 23(2): 270-273 (2019)
• 
  Jia Zhu, Changqin Huang, Min Yang, Gabriel Pui Cheong Fung:
  Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Inf. Sci. 473: 190-201 (2019)
• 
  Shenji Luan, Jianrong Bao, Chao Liu, Jie Li, Deqing Zhu:
  Power Saving Scheme by Distinguishing Traffic Patterns for Event-Driven IoT Applications. TIIS 13(3): 1123-1140 (2019)
• 
  Joseph Kurebwa, Tawanda Mushiri:
  A Study of Damage Patterns on Passenger Cars Involved in Road Traffic Accidents. J. Robotics 2019: 3927935:1-3927935:12 (2019)
• 
  Markus Braun, Sebastian Krebs, Fabian Flohr, Dariu M. Gavrila:
  EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1844-1861 (2019)
• 
  Adil Fahad, Abdulmohsen Almalawi, Zahir Tari, Kurayman Alharthi, Fawaz S. Al-Qahtani, Mohamed Cheriet:
  SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort. Pattern Recognition 91: 1-12 (2019)
• 
  Yilun Lin, Xingyuan Dai, Li Li, Fei-Yue Wang:
  Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework. IEEE Trans. Intelligent Transportation Systems 20(6): 2395-2400 (2019)
• 
  Mayara Conde Rocha Murca, Robert John Hansman:
  Identification, Characterization, and Prediction of Traffic Flow Patterns in Multi-Airport Systems. IEEE Trans. Intelligent Transportation Systems 20(5): 1683-1696 (2019)
• 
  Jinchao Song, Chunli Zhao, Shaopeng Zhong, Thomas Alexander Sick Nielsen, Alexander V. Prishchepov:
  Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques. Computers, Environment and Urban Systems 77 (2019)
• 
  Federico Tonini, Carla Raffaelli, Steinar Bjørnstad, David Chen, Raimena Veisllari:
  A Traffic Pattern Adaptive Mechanism to Bound Packet Delay and Delay Variation in 5G Fronthaul. EuCNC 2019: 416-420
• 
  Sebastian Troia, Alberto Cibari, Rodolfo Alvizu:
  Dynamic Network Slicing Based on Tidal Traffic Patterns in Metro-Core Optical Networks. HPSR 2019: 1-7
• 
  Yichen An, Shuichiro Haruta, Sanghun Choi, Iwao Sasase:
  Traffic Feature-Based Botnet Detection Scheme Emphasizing the Importance of Long Patterns. IP&C 2019: 181-188
• 
  Xiaolei Di, Yu Xiao, Chao Zhu, Yang Deng, Qinpei Zhao, Weixiong Rao:
  Traffic Congestion Prediction by Spatiotemporal Propagation Patterns. MDM 2019: 298-303
• 
  Xiaocai Zhang, Xuan Zhang, Sunny Verma, Yuansheng Liu, Michael Blumenstein, Jinyan Li:
  Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data. PRICAI (3) 2019: 307-321
• 
  Chih-Yuan Lin, Simin Nadjm-Tehrani:
  Timing Patterns and Correlations in Spontaneous SCADA Traffic for Anomaly Detection. RAID 2019: 73-88
• 
  Meng Qin, Kai Lei, Bo Bai, Gong Zhang:
  Towards a Profiling View for Unsupervised Traffic Classification by Exploring the Statistic Features and Link Patterns. NetAI@SIGCOMM 2019: 50-56
• 
  Chico Q. Camargo, Jonathan Bright, Graham McNeill, Sridhar Raman, Scott A. Hale:
  Estimating Traffic Disruption Patterns with Volunteered Geographic Information. CoRR abs/1907.05162 (2019)
• 
  Gregory Dobler, Jordan Vani, Trang Tran Linh Dam:
  Patterns of Urban Foot Traffic Dynamics. CoRR abs/1910.02380 (2019)
• 2018
• 
  Zhenhua Chen, Yongjian Yang, Liping Huang, En Wang, Dawei Li:
  Discovering Urban Traffic Congestion Propagation Patterns With Taxi Trajectory Data. IEEE Access 6: 69481-69491 (2018)
• 
  Dongfang Ma, Bowen Sheng, Sheng Jin, Xiaolong Ma, Peng Gao:
  Short-Term Traffic Flow Forecasting by Selecting Appropriate Predictions Based on Pattern Matching. IEEE Access 6: 75629-75638 (2018)
• 
  Wenbo Zhao, Xueyan Tang, Luping Xu:
  Constructing routing structures for sensor data collection with dynamic traffic patterns. Computer Networks 142: 272-290 (2018)
• 
  Sinan Salman, Suzan Alaswad:
  Alleviating road network congestion: Traffic pattern optimization using Markov chain traffic assignment. Computers & OR 99: 191-205 (2018)
• 
  Atsushi Ooka, Suyong Eum, Shingo Ata, Masayuki Murata:
  Scalable Cache Component in ICN Adaptable to Various Network Traffic Access Patterns. IEICE Transactions 101-B(1): 35-48 (2018)
• 
  Riski Muktiarto Nugroho Ajinegoro, Doan Perdana, Ridha Muldina Negara:
  Performance Analysis of Mobility Impact on IEEE 802.11ah Standard with Traffic Pattern Scheme. IJCNIS 10(1) (2018)
• 
  Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang:
  A traffic pattern detection algorithm based on multimodal sensing. IJDSN 14(10) (2018)

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