Search Results - GRU encoder-decoder framework

A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting by Balti, Hanen, Ben Abbes, Ali, Farah, Imed Riadh

“… This article suggests an encoder–decoder framework for multivariate times series (EDFMTS) forecasting. EDFMTS is composed of three layers…”
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A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction by Li, Hanchu, Liao, Ziyi, Rui, Yikang, Li, Linchao, Ran, Bin

“…) model, which integrates data-driven and physics-driven models. Specifically, the SF-GRU model is based on the GRU encoder-decoder framework and incorporates…”
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Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework by Zia, Sohail, Azhar, Muhammad, Lee, Bumshik, Tahir, Adnan, Ferzund, Javed, Murtaza, Fozia, Ali, Moazam

“…•RNN family based Encoder-decoder frameworks are widely used for the recognition of various languages scripts…”
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Short-term Wind Energy Forecasting Using Attention-based Encoder Decoder GRU Framework by Xue, Tao, Qu, Liang, Chen, Guibin, Wang, Dong, Yi, Zhongkai, Xu, Ying, Liu, Ya, Kuang, Honghui

“… To alleviate this problem, this paper proposes an attention-based encoder decoder neural network…”
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A Multi-Head Self-Attention-based on GRU Encoder-Decoder Framework for Predicting Molten Iron Silicon Content by Cai, Yu, Yang, Chunjie, Lou, Siwei, Zeng, Zhenyu, Liao, Huanyu, Zhang, Bing

“… This paper proposes a multi-head self-attention-based gate recurrent unit encoder-decoder framework that can better extract global dynamic features and local features, improve prediction accuracy…”
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Improving ultra-short-term photovoltaic power forecasting using advanced deep-learning approach by Su, Zhongyuan, Gu, Shengyan, Wang, Jun, Lund, Peter D.

“…) network, dual attention (DA) mechanism, and Encoder-Decoder framework.•The model enables to assign different attention weights to different features at different time…”
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Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics by Lin, Ruiguan, Wang, Huawei, Xiong, Minglan, Hou, Zhaoguo, Che, Changchang

“… Then, a GRU network based on an encoder–decoder framework with an attention mechanism is proposed…”
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An interpretable Bayesian framework for Alzheimer’s disease prediction with uncertainty quantification by Das, Ratnadeep, Chatterjee, Atri, Roy, Sitikantha

“…•Bayesian framework to predict longitudinal AD cognitive scores.•Quantified uncertainty provides a confidence interval around predictions…”
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A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting by Zhang, Huihui, Li, Shicheng, Chen, Yu, Dai, Jiangyan, Yi, Yugen

“… In this paper, a novel deep learning architecture based on the encoder-decoder framework is proposed for MTS forecasting…”
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A sequence-to-sequence model for joint bridge response forecasting by Bahrami, Omid, Wang, Wentao, Hou, Rui, Lynch, Jerome P.

“…) framework, and utilizing…”
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A novel intelligent health prediction method for lithium‐ion batteries within a variable voltage range by Tan, Xiaojun, Zhuang, Huanbiao, Song, Xinman, Wang, Huanyu, Fan, Yuqian

“…‐based encoder‐decoder framework. First, based on a battery aging data set, multiple health features are extracted, and then the Conv1D layer is utilized to learn the local trends of these features…”
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A Variational Bayesian Inference-Based En-Decoder Framework for Traffic Flow Prediction by Kong, Jianlei, Fan, Xiaomeng, Jin, Xuebo, Lin, Sen, Zuo, Min

“… Motivated from the aforementioned issues and challenges, in this paper, we propose a deep encoder-decoder prediction framework based on variational Bayesian inference…”
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Transfer learning based-hybrid model for short-term wind speed forecasting by Melalkia, Lokmene, Berrezzek, Farid, khelil, Khaled, Saim, Abdelhakim, Nebili, Radouane

“…), Bidirectional Gated Recurrent Unit Encoder-Decoder (Bi-GRU-ED), and transfer learning. CEEMDAN decomposes the original wind speed series into intrinsic mode functions (IMFs…”
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An Encoder-Decoder Structure With Strong Resistance to Sensor Drift in Machine Olfaction by Shu, Renhao, Li, Xu, Wang, Qingji

“… The paper proposed a Bi-GRU-based Encoder-Decoder framework and introduced a spatio-temporal attention mechanism (SABG for short…”
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ResGRUA Model for Tool Wear Prediction Based on Encoder-Decoder by Hu, Defeng, Tang, Zejin

“… Aiming at the problems of poor adaptability and low long-term prediction accuracy in traditional tool wear prediction methods, based on encoder-decoder framework, we combine residual GRU network…”
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K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder by Dogani, Javad, Khunjush, Farshad, Seydali, Mehdi

“…Cloud service providers can operate several execution instances on a single physical server using virtualization technology, which improves resource…”
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A low footprint olive grove weather forecasting using a single-layered seasonal attention encoder-decoder model by Abdelwahab, Mohamed H., Mostafa, Hassan, Khattab, Ahmed

“… In this work, we propose a deep learning encoder-decoder model that uses a seasonal attention mechanism for time series forecasting of weather variables…”
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DSTED: A Denoising Spatial-Temporal Encoder-Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process by Yan, Feng, Yang, Chunjie, Zhang, Xinmin

“… the knowledge of the sintering process. In this article, a multistep prediction model, called denoising spatial-temporal encoder-decoder, is developed to predict BTP in advance…”
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Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Liu, Zhi, Lu, Yunhua, Zhang, Xiaochuan, Wang, Sen, Li, Shuo, Chen, Bo

“… In this study, a framework is developed to directly quantify left ventricle multiple indices without the process of segmentation…”
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Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization by Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Lin, Seng

“… Proposed model is based on an encoder-decoder architecture with a gated recurrent units (GRU) recurrent neural network with high robustness on time-series data modeling…”
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