Results 11 to 20 of about 3,288,100 (328)
ANALYSIS OF PEDESTRIAN BEHAVIOR AT CROSSWALKS AND EVALUATION OF FUNCTIONING PEDESTRIAN CROSSINGS [PDF]
Transport Problems, 2021 Every year, on Polish roads, many deaths occur. In the best case scenario, only the vehicle is damaged. The number of road accidents is extremely high.
Piotr GORZELAŃCZYK, Jakub BAZELA
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PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2023 As a core technology of Intelligent Transportation System, traffic flow prediction has a wide range of applications. The fundamental challenge in traffic flow prediction is to effectively model the complex spatial-temporal dependencies in traffic data ...
Jiawei Jiang +3 more
semanticscholar +1 more source
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification [PDF]
The Web Conference, 2022 Encrypted traffic classification requires discriminative and robust traffic representation captured from content-invisible and imbalanced traffic data for accurate classification, which is challenging but indispensable to achieve network security and ...
Xinjie Lin +5 more
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Graph Neural Network for Traffic Forecasting: A Survey [PDF]
Expert systems with applications, 2021 Traffic forecasting is important for the success of intelligent transportation systems. Deep learning models, including convolution neural networks and recurrent neural networks, have been extensively applied in traffic forecasting problems to model ...
Weiwei Jiang, Jiayun Luo
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Tales of the ER-Golgi Frontier: Drosophila-Centric Considerations on Tango1 Function
Frontiers in Cell and Developmental Biology, 2021 In the secretory pathway, the transfer of cargo from the ER to the Golgi involves dozens of proteins that localize at specific regions of the ER called ER exit sites (ERES), where cargos are concentrated preceding vesicular transport to the Golgi ...
Zhi Feng +3 more
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Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting [PDF]
International Joint Conference on Artificial Intelligence, 2017 Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the requirements of mid-and-long term prediction tasks and often neglect ...
Ting Yu, Haoteng Yin, Zhanxing Zhu
semanticscholar +1 more source
Jurnal Lebesgue, 2022 The traffic is one of the problems that are often in big cities in Indonesia, where this also happened on Gatot Subroto Sei Sikambing street, Medan city. The traffic light is a tool that is made with the aim of being an assistant in regulating traffic so
Rina Filia Sari +2 more
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Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting [PDF]
Knowledge Discovery and Data Mining, 2021 Spatial-temporal forecasting has attracted tremendous attention in a wide range of applications, and traffic flow prediction is a canonical and typical example.
Zheng Fang +3 more
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Traffic-related sources may dominate urban water contamination for many organic contaminants
Environmental Research Letters, 2022 Urban runoff and wastewater/sewage input are majorly responsible for the contamination of urban streams. In streams where wastewater input is not a considerable input, the importance of urban runoff as a mechanism of contaminant transport and delivery ...
Boluwatife Awonaike +3 more
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction [PDF]
IEEE transactions on intelligent transportation systems (Print), 2018 Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control. However, traffic forecasting has always been considered
Ling Zhao +7 more
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