STBGRN: A Traffic Prediction Model Based on Spatiotemporal Bidirectional Gated Recurrent Units and Graph Convolutional Residual Networks

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: STBGRN: A Traffic Prediction Model Based on Spatiotemporal Bidirectional Gated Recurrent Units and Graph Convolutional Residual Networks ; volume:17 ; number:1 ; day:21 ; month:5 ; year:2024 ; pages:1-18 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (21.5.2024), 1-18, 12.2024

Creator: Zhang, Jijie
Xu, Xiaolong
Xiao, Fu

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44196-024-00531-7

URN: urn:nbn:de:101:1-2407310939488.590074537706

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Zhang, Jijie
Xu, Xiaolong
Xiao, Fu
SpringerLink (Online service)

Other Objects (12)

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

STBGRN: A Traffic Prediction Model Based on Spatiotemporal Bidirectional Gated Recurrent Units and Graph Convolutional Residual Networks

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

Prediction of electric vehicle charging demand using enhanced gated recurrent units with RKOA based graph convolutional network

Gated bidirectional feature pyramid network for accurate one-shot detection

Traffic flow prediction using bi-directional gated recurrent unit method

Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning

CNN-GRU-FF: a double-layer feature fusion-based network intrusion detection system using convolutional neural network and gated recurrent units

Dynamic slate recommendation with gated recurrent units and Thompson sampling

Visual field prediction using a deep bidirectional gated recurrent unit network model

Communication spectrum prediction method based on convolutional gated recurrent unit network

Adaptive residual convolutional neural network for moiré image restoration

Bidirectional Synaptic Operations of Triple‐Gated Silicon Nanosheet Transistors with Reconfigurable Memory Characteristics

ERABiLNet: enhanced residual attention with bidirectional long short-term memory

Related objects

Reset password