• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 3,730 matches

• 2025
• 
  Md. Fahim Bin Amin, Israt Jahan Khan, Faria Akter, Adib Ahmed, Md. Motaharul Islam:
  SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety. IEEE Access 13: 6667-6684 (2025)
• 
  Yifang Feng, Tao Chen, Yue Li, Yonghan Gao, Guoli Zhang, Guowei Cao:
  Short-Term Vehicle Speed Prediction Based on Spatio-Temporal Traffic Graph Networks. IEEE Access 13: 43557-43571 (2025)
• 
  Longfei Li, Kyungbaek Kim:
  STE-NTP: A Long-Short Period Aware Network Traffic Prediction Model. IEEE Access 13: 35574-35587 (2025)
• 
  Yulian Li, Yang Su:
  A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network. IEEE Access 13: 24398-24410 (2025)
• 
  Zhinong Miao, Qilong Liao:
  IoT-Based Traffic Prediction for Smart Cities. IEEE Access 13: 52369-52384 (2025)
• 
  Swetha Priya, F. Sagayaraj Francis:
  Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems. IEEE Access 13: 35688-35706 (2025)
• 
  Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer T. Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman:
  Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation. IEEE Access 13: 8140-8157 (2025)
• 
  Yusuf Sait Türkan, Mesut Ulu:
  A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization. IEEE Access 13: 43455-43472 (2025)
• 
  Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
  Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers. IEEE Access 13: 3298-3319 (2025)
• 
  Yinxin Bao, Qinqin Shen, Yang Cao, Quan Shi:
  Spatial-temporal clustering enhanced multi-graph convolutional network for traffic flow prediction. Appl. Intell. 55(6): 445 (2025)
• 
  Zhongxing Li, Zenan Li, Chaofeng Pan, Jian Wang:
  Short-term traffic flow prediction based on spatial-temporal attention time gated convolutional network with particle swarm optimization. Appl. Intell. 55(2): 214 (2025)
• 
  Qi Li, Fan Wang, Chen Wang:
  STGFP: information enhanced spatio-temporal graph neural network for traffic flow prediction. Appl. Intell. 55(6): 485 (2025)
• 
  Xing Wang, Feifei Chen, Biao Jin, Mingwei Lin, Fumin Zou, Ruihao Zeng:
  DSTSPYN: a dynamic spatial-temporal similarity pyramid network for traffic flow prediction. Appl. Intell. 55(3): 237 (2025)
• 
  Mei Wu, Wenchao Weng, Xinran Wang, Dewen Seng:
  TSHDNet: temporal-spatial heterogeneity decoupling network for multi-mode traffic flow prediction. Appl. Intell. 55(4): 320 (2025)
• 
  Xian Yu, Yinxin Bao, Quan Shi:
  Spatial-temporal synchronous graphsage for traffic prediction. Appl. Intell. 55(1): 82 (2025)
• 
  Jiankai Zuo, Yaying Zhang:
  ST-NAMN: a spatial-temporal nonlinear auto-regressive multichannel neural network for traffic prediction. Appl. Intell. 55(1): 14 (2025)
• 
  Jing Chen, Haocheng Ye, Zhian Ying, Yuntao Sun, Wenqiang Xu:
  Dynamic trend fusion module for traffic flow prediction. Appl. Soft Comput. 174: 112979 (2025)
• 
  Shiyu Yang, Qunyong Wu:
  SDSINet: A spatiotemporal dual-scale interaction network for traffic prediction. Appl. Soft Comput. 173: 112892 (2025)
• 
  Citong Que, Faisal Nadeem Khan:
  A scalable federated learning-based approach for accurate traffic prediction in edge computing-enabled metro optical networks. Comput. Ind. Eng. 203: 111004 (2025)
• 
  G. Balamurugan, K. B. Gurumoorthy, S. Suganyadevi, K. Balasamy:
  Improving the traffic prediction process efficiency using novel cohesive model. Comput. Electr. Eng. 123: 110082 (2025)
• 
  Shiyu Yang, Qunyong Wu, Yuhang Wang, Zhan Zhou:
  MSTDFGRN: A Multi-view Spatio-Temporal Dynamic Fusion Graph Recurrent Network for traffic flow prediction. Comput. Electr. Eng. 123: 110046 (2025)
• 
  Mohammed A. Khasawneh, Mustafa Daraghmeh, Anjali Awasthi, Anjali Agarwal:
  Multilevel learning for enhanced traffic congestion prediction using anomaly detection and ensemble learning. Clust. Comput. 28(3): 160 (2025)
• 
  Junbi Xiao, Yunhuan Cong, Wenjing Zhang, Wenchao Weng:
  A cellular traffic prediction method based on diffusion convolutional GRU and multi-head attention mechanism. Clust. Comput. 28(2): 125 (2025)
• 
  Jingwen Lu, Chaowei Tang, Zhengchuan Chen, Jiayuan Guo, Aobo Zou, Wen Yang, Chenxi Tang:
  Intraflow temporal correlation-based network traffic prediction. Comput. Networks 256: 110913 (2025)
• 
  Haopeng Ma, Xiaoying Huang, Ke Ruan, Zehua Hu, Yongqing Zhu:
  MSTFCAN: Multiscale sparse temporal-frequency cross attention network for traffic prediction. Comput. Networks 258: 111035 (2025)
• 
  Hong Zhang, Gang Yang, Hailiang Yu, Zan Zheng:
  Traffic flow prediction based on the RETGCN model. Computing 107(1): 49 (2025)
• 
  Yuchen Hou, Buqing Cao, Jianxun Liu, Changyun Li, Min Shi:
  TPST: A Traffic Flow Prediction Model Based on Spatial-Temporal Identity. Concurr. Comput. Pract. Exp. 37(4-5) (2025)
• 
  Ons Aouedi, Van An Le, Kandaraj Piamrat, Yusheng Ji:
  Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. ACM Comput. Surv. 57(6): 151:1-151:37 (2025)
• 
  Jiachen Zhang, Daoqi Han, Zhaoxuan Lv, Yueming Lu, Junke Duan, Yang Liu, Xinyu Zhang:
  Bag2image: a multi-instance network traffic representation for network security event prediction. Cybersecur. 8(1): 31 (2025)
• 
  Ying-Ting Chen, Cheng Li, Shuang Li:
  Attention based spatial-temporal multi-graph ordinary differential equation network for traffic flow prediction. Eng. Appl. Artif. Intell. 149: 110526 (2025)

skipping 3,700 more matches