ENHANCED POLSAR IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL AND TEMPORAL CONVOLUTIONAL NETWORKS by Batool Anwar, Mohamed M. Morsey, Islam Hegazy, Zaki T. Fayed, Taha El-Arif

“… A new framework in the form of Polarimetric Synthetic Aperture Radar (PolSAR) image classification, where deep Convolutional Neural Networks (CNNs) were integrated with the traditional Machine Learning (ML) techniques under a Temporal Convolutional Network (TCN) architecture, was introduced in the paper. …”
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Network traffic prediction based on transformer and temporal convolutional network by Yi Wang, Peiyuan Chen

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Network traffic prediction based on transformer and temporal convolutional network. by Yi Wang, Peiyuan Chen

“…This paper proposes a hybrid model combining Transformer and Temporal Convolutional Network (TCN). This model addresses the shortcomings of current approaches in capturing long-term and short-term dependencies in network traffic prediction tasks. …”
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Unsupervised intrusion detection model based on temporal convolutional network by LIAO Jinju, DING Jiawei, FENG Guanghui

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Seismic Events Prediction Using Deep Temporal Convolution Networks by Yue Geng, Lingling Su, Yunhong Jia, Ce Han

“…This paper contributes to address the problem of long-term historical dependence on seismic time series prediction with deep temporal convolution neural networks (CNN). We propose a dilated causal temporal convolution network (DCTCNN) and a CNN long short-term memory hybrid model (CNN-LSTM) to forecast seismic events. …”
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SDN Anomalous Traffic Detection Based on Temporal Convolutional Network by Ziyi Wang, Zhenyu Guan, Xu Liu, Caixia Li, Xuan Sun, Jun Li

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Battery Life Evaluation Method Based on Temporal Convolution Network by SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng

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An Aeromagnetic Compensation Algorithm Based on a Temporal Convolutional Network by Han Wang, Boxin Zuo

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TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field by Huiwen Wu, Xiubo Zhang, Tengyuan Zhou, An Hu

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Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

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Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction by Brindha Priyadarshini Jeyaraman, Bing Tian Dai, Yuan Fang

“…We propose a temporal and relational graph convolutional network (RGCN)-based representation for FintechKG data across multiple timesteps, which captures temporal dependencies. …”
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Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection by Mishmala Sushith, Ajanthaa Lakkshmanan, M. Saravanan, S. Castro

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Rolling Bearing Fault Diagnosis via Temporal-Graph Convolutional Fusion by Fan Li, Yunfeng Li, Dongfeng Wang

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Fault prediction of smart meter based on spatio-temporal convolution neural network by Gao Wenjun, Xue Binbin, Pang Zhenjiang

“…A fault prediction method based on spatio-temporal convolutional neural network(ST-CNN) is proposed. …”
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Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction by Jie Tang, Rong Zhu, Fengyun Wu, Xuansen He, Jing Huang, Xianlai Zhou, Yishuai Sun

“…Firstly, for spatial features, most scholars use convolutional neural networks (with fixed kernel size) to capture. …”
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CST-Net: community-guided structural-temporal convolutional networks for popularity prediction by Xuxu Zheng, Peng Bao, Lin Qi, Chen Tian, Huawei Shen

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Short term prediction of photovoltaic power with time embedding temporal convolutional networks by Jingxin Wang, Guohan Li, Jin Gu, Zhengyi Xu, Xinrong Chen, Jianming Wei

“…To address these limitations, this study introduces the Time-Embedding Temporal Convolutional Network (ETCN), providing an innovative solution. …”
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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…It introduces an intelligent approach that combines Temporal Convolutional Networks (TCN) with Antlion Optimization (ALO). …”
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STFGCN: Spatio-Temporal Fusion Graph Convolutional Networks for Subway Traffic Prediction by Xiaoxi Zhang, Zhanwei Tian, Yan Shi, Qingwen Guan, Yan Lu, Yujie Pan

“…To address this, we propose the Spatio-Temporal Fusion Graph Convolutional Network (STFGCN) for predicting metro passenger flow. …”
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Dual-Path Beat Tracking: Combining Temporal Convolutional Networks and Transformers in Parallel by Nikhil Thapa, Joonwhoan Lee

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