Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction by Aihua Zhang

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Multi dynamic temporal representation graph convolutional network for traffic flow prediction by Zuojun Wu, Xiaojun Liu, Xiaoling Zhang

“…To address this issue, we propose a novel Multi Dynamic Temporal Representation Graph Convolutional Network (MDTRGCN). …”
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Spatio-temporal transformer and graph convolutional networks based traffic flow prediction by Jin Zhang, Yimin Yang, Xiaoheng Wu, Sen Li

“…Firstly, most current methods rely on Graph Convolutional Networks (GCNs) to extract spatial correlations, typically using predefined adjacency matrices. …”
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Blind Recognition of Convolutional Codes Based on the ConvLSTM Temporal Feature Network by Lu Xu, Yixin Ma, Rui Shi, Juanjuan Li, Yijia Zhang

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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…In this work, a Semantic-Augmented Spatio-temporal Graph Convolutional Network (SASTGCN) model was proposed, which considered semantic similarity, spatiotemporal correlations and spatial heterogeneity to realize the passenger inflow and outflow prediction. …”
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A Hybrid Temporal Convolutional Network and Transformer Model for Accurate and Scalable Sales Forecasting by Rafi MD AL, Gourab Nicholas Rodrigues, Nazmul Hossain Mir MD, Shahriar Mahmud Bhuiyan MD, M. F. Mridha, MD Rashedul Islam, Yutaka Watanobe

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Graph learning-based spatial-temporal graph convolutional neural networks for traffic forecasting by Na Hu, Dafang Zhang, Kun Xie, Wei Liang, Meng-Yen Hsieh

Subjects: “…graph convolutional neural network…”
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Advanced Temporal Convolutional Network Framework for Intrusion Detection in Electric Vehicle Charging Stations by Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, It Ee Lee, Muhammad Sheraz, Eng Eng Ngu, Teong Chee Chuah

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Accurate Arrhythmia Classification with Multi-Branch, Multi-Head Attention Temporal Convolutional Networks by Suzhao Bi, Rongjian Lu, Qiang Xu, Peiwen Zhang

“…To address these challenges, this paper proposes a method for arrhythmia classification based on a multi-branch, multi-head attention temporal convolutional network (MB-MHA-TCN). The model integrates three convolutional branch layers with different kernel sizes and dilation rates to capture features across varying temporal scales. …”
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Application of Dual-Stage Attention Temporal Convolutional Networks in Gas Well Production Prediction by Xianlin Ma, Long Zhang, Jie Zhan, Shilong Chang

“…This paper introduces a Dual-Stage Attention Temporal Convolutional Network (DA-TCN) model to enhance the accuracy and efficiency of gas production forecasting, particularly for wells in tight sandstone reservoirs. …”
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Day-ahead photovoltaic power forecasting with multi-source temporal-feature convolutional networks by Ziming Ouyang, Zhaohui Li, Xiangdong Chen

“…To improve the feature extraction capability for multi-source heterogeneous data and the temporal modeling capability for fine-grained periods, a multi-source temporal-feature convolutional networks (MSTFCN) model is proposed. …”
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Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine by Mohammad Hoseintabar Marzebali, Saeed Hasani Borzadaran, Hoda Mashayekhi, Valiollah Mashayekhi

“…In this paper, a deep learning approach based on a combination of temporal convolutions and Long Short Term Memory (LSTM) network is used for fault diagnosis. …”
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DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting by Zeping Dou, Danhuai Guo

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Multiscale residual temporal convolutional networks-based intrusion detection model in Internet of things by LIU Liwei, ZHAO Hongchao, LI Xuewei, SUN Bin

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Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition by Zhiyun Zheng, Qilong Yuan, Huaizhu Zhang, Yizhou Wang, Junfeng Wang

“…To solve these problems, the Lightweight Multiscale Spatio-Temporal Graph Convolutional Network (LMSTGCN) is proposed. …”
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Spatio-temporal Graph Convolutional Neural Network for traffic signal prediction in large-scale urban networks by Shimon Komarovsky, Jack Haddad

“…In this paper, two models that can handle spatio-temporal graphical data are developed based on Graph Convolutional Neural Network. …”
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TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction by Qin Li, Bingguang Ou, Yifa Liang, Yong Wang, Xuan Yang, Linchao Li

“…To address this issue, we propose a hybrid deep learning model based on a temporal convolutional network (TCN) that considers local and global interactions between vehicles. …”
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Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

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Inversion Method Based on Temporal Convolutional Networks for Random Ice Load on Conical Offshore Platforms by Wei Li, Ya Guo, Shuzhao Li, Yang Gao, Yan Qu

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Temporal fusion strategy for violence detection: utilising convolutional and LSTM neural networks for surveillance videos by Khaled Merit, Mohammed Beladgham, Abdelmalik Taleb-Ahmed

“…This paper introduces sophisticated models using Convolutional Neural Networks (CNN), specifically MobileNet V3, VGG16, and InceptionV3 networks, as well as networks using LSTM and feedforward networks. …”
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