Suchergebnisse - Encoder–decoder framework*

Multivariate time series forecasting via attention-based encoder–decoder framework von Du, Shengdong, Li, Tianrui, Yang, Yan, Horng, Shi-Jinn

“… In this paper, we firstly propose a novel temporal attention encoder–decoder model to deal with the multivariate time series forecasting problem …”
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Machine translation of cortical activity to text with an encoder-decoder framework von Makin, Joseph G, Moses, David A, Chang, Edward F

“… A decade after speech was first decoded from human brain signals, accuracy and speed remain far below that of natural speech. Here we show how to decode the …”
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Parallel encoder-decoder framework for image captioning von Saeidimesineh, Reyhane, Adibi, Peyman, Karshenas, Hossein, Darvishy, Alireza

“… Recent progress in deep learning has led to successful utilization of encoder–decoder frameworks inspired by machine translation in image captioning models …”
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DSTED: A Denoising Spatial-Temporal Encoder-Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process von 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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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems von Rahman, Md Mijanur, Uzzaman, Ashik, Sami, Sadia Islam, Khatun, Fatema, Bhuiyan, Md Al‐Amin

“… This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems …”
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A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images von Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

“… In this paper, we propose a robust deep learning segmentation framework for the anatomical structure in chest radiographs that utilizes a dual encoder …”
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Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework von Botterill, Tom E., McMillan, Hilary K.

“… ‐runoff models in otherwise ungauged watersheds. Our model has an encoder–decoder structure. The encoder is a convolutional neural net mapping historical flow and climate data to a low …”
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Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction von Fei, Hao, Ren, Yafeng, Zhang, Yue, Ji, Donghong

“… In this article, we present an innovative encoder-decoder framework for end-to-end ASTE. Specifically, the ASTE task is first modeled as an unordered triplet set prediction …”
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An enhanced encoder–decoder framework for bearing remaining useful life prediction von Liu, Lu, Song, Xiao, Chen, Kai, Hou, Baocun, Chai, Xudong, Ning, Huansheng

“… Hence, it is crucial to accurately predict the remaining useful life of bearings. This paper explores the degradation process of bearings and proposes an enhanced encoder–decoder framework …”
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PML-ED: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation von Wang, Zhenwu, Liu, Fanghan, Han, Mengjie, Tang, Hongjian, Wan, Benting

“… •A method of partial multi-label learning is proposed based on Encoder-Decoder.•A method generates credible label distribution by using KNN label attention …”
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A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting von 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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EDF-LPR: a new encoder–decoder framework for license plate recognition von Gao, Fei, Cai, Yichao, Ge, Yisu, Lu, Shufang

“… In this study, a new ALPR codec framework named EDF-LPR is presented. As for the encoder, at the first stage, candidate license plate characters are detected and recognised …”
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A deep encoder-decoder framework for identifying distinct ligand binding pathways von Bandyopadhyay, Satyabrata, Mondal, Jagannath

“… The pathway(s) that a ligand would adopt en route to its trajectory to the native pocket of the receptor protein act as a key determinant of its biological …”
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Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse von Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Zuo, Min, Zhang, Qing-Chuan, Lin, Seng

“… Due to the limitations of existing predictors in dealing with massive, nonlinear, and dynamic temporal data, this study proposes a bidirectional self-attentive encoder–decoder framework (BEDA …”
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Skip-attention encoder–decoder framework for human motion prediction von Zhang, Ruipeng, Shu, Xiangbo, Yan, Rui, Zhang, Jiachao, Song, Yan

“… In this paper, we propose a novel skip-attention encoder–decoder (SAED) framework to model human motion dependences in spatiotemporal space, by utilizing the encoder …”
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A novel hybrid layer-based encoder–decoder framework for 3D segmentation in congenital heart disease von Zhu, Yaoxi, Li, Hongbo, Cao, Bingxin, Huang, Kun, Liu, Jinping

“… –decoder framework for 3D CHD image segmentation. The model incorporates a global volume mixing module and a local volume-based multihead attention module, which uses …”
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Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework von Arefnezhad, Sadegh, Hamet, James, Eichberger, Arno, Frühwirth, Matthias, Ischebeck, Anja, Koglbauer, Ioana Victoria, Moser, Maximilian, Yousefi, Ali

“… ) is employed as the ground truth of driver drowsiness. Applying our proposed modeling framework, we find neural features present in EEG data that encode PERCLOS …”
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ED-ACNN: Novel attention convolutional neural network based on encoder–decoder framework for human traffic prediction von Pu, Bin, Liu, Yuan, Zhu, Ningbo, Li, Kenli, Li, Keqin

“… Accurate human traffic prediction, as a vital component of an intelligent transportation system (ITS), can not only reduce traffic congestion and resource …”
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Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network von Yang, Zhifei, Wu, Yan, Li, Ming, Hu, Xin, Li, Zhikang

“… In this paper, we propose a graph-context attention-based siamese encoder–decoder network (GCA-SEDN) for unsupervised change detection in PolSAR images …”
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A long short-term memory-based encoder–decoder framework for discharge waveform anomaly detection: A long short-term memory-based encoder–decoder framework von Shen, Wenwen, Li, Suicheng, He, Zizhou, Chen, Youxin

“… In this paper, we propose a long short-term memory-based encoder–decoder ( LSTM-ED) framework for waveform anomaly detection, which effectively addresses the aforementioned issues …”
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