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A Convolutional Neural Network With Time-Aware Channel Weighting for Temporal Knowledge Graph Completion
Published 2025-01-01Subjects: Get full text
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Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning
Published 2024-01-01Subjects: “…Temporal convolutional network…”
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Enhancing Neurodegenerative Disease Diagnosis Through Confidence-Driven Dynamic Spatio-Temporal Convolutional Network
Published 2025-01-01Subjects: Get full text
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45
Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles
Published 2025-06-01Subjects: Get full text
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Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks
Published 2025-04-01Subjects: Get full text
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47
A Dynamic Multi-Graph Convolutional Spatial-Temporal Network for Airport Arrival Flow Prediction
Published 2025-04-01“…Despite years of studies to improve prediction precision, most existing methods only focus on a single airport or simplify the traffic network as a static and simple graph. To mitigate this shortage, we propose a hybrid neural network method, called Dynamic Multi-graph Convolutional Spatial-Temporal Network (DMCSTN), to predict network-level airport arrival flow considering the multiple operation constraints and flight interactions among airport nodes. …”
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Temporal representation learning enhanced dynamic adversarial graph convolutional network for traffic flow prediction
Published 2025-03-01Subjects: Get full text
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49
Resilient Temporal Graph Convolutional Network for Smart Grid State Estimation Under Topology Inaccuracies
Published 2025-01-01“…This paper studies these scenarios under topology uncertainties and evaluates the impact of the topology uncertainties on the performance of a Temporal Graph Convolutional Network (TGCN) for state estimation in power systems. …”
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Spatial-temporal upsampling graph convolutional network for daily long-term traffic speed prediction
Published 2022-11-01Subjects: Get full text
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ChaMTeC: CHAnnel Mixing and TEmporal Convolution Network for Time-Series Anomaly Detection
Published 2025-05-01“…This paper introduces ChaMTeC (CHAnnel Mixing and TEmporal Convolution Network), a novel deep learning framework designed for time-series anomaly detection. …”
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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer
Published 2025-01-01Subjects: “…Graph convolution network…”
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Convolutional Neural Networks for Continuous QoE Prediction in Video Streaming Services
Published 2020-01-01Subjects: Get full text
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Dance video action recognition algorithm based on improved hypergraph convolutional networks
Published 2025-12-01Subjects: Get full text
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A composite improved attention convolutional network for motor imagery EEG classification
Published 2025-02-01Subjects: Get full text
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
Published 2024-12-01“…We further push the frontier of feature engineering by using Temporal Convolutional Networks (TCNs) and Graph Convolutional Networks (GCNs) to capture time series trends, geographic and topological information, and pest/disease incidence. …”
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TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor [version 1; peer review: 2 approved]
Published 2021-12-01“…We then reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN). …”
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Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network
Published 2025-08-01“…This study focused on the Tao River National Nature Reserve in southern Gansu Province, China, where over 6,000 vegetation samples were collected. A Temporal Convolutional Neural Network (TempCNN), which excels in handling temporal data and adapting to complex patterns, was constructed using TensorFlow with 133.8k parameters. …”
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Attention Adaptive Temporal Graph Convolutional Network for Long-Term Seasonal Sea Surface Temperature Forecasting
Published 2024-01-01“…To address this, we introduce a novel attention adaptive temporal graph convolutional network (AA-TGCN) specifically designed for long-term seasonal SST forecasting. …”
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