Suchergebnisse - "encoder-decoder framework"

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

“… Time series forecasting is an important technique to study the behavior of temporal data and forecast future values, which is widely applied in many fields, …”
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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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SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition von Qiao, Zhi, Zhou, Yu, Yang, Dongbao, Zhou, Yucan, Wang, Weiping

“… Scene text recognition is a hot research topic in computer vision. Recently, many recognition methods based on the encoder-decoder framework have been proposed, and they can handle scene texts of perspective distortion and curve shape …”
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Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting von Kao, I-Feng, Zhou, Yanlai, Chang, Li-Chiu, Chang, Fi-John

“… •For the first time a LSTM-ED model is proposed to model multi-step-ahead flood forecasting.•Sequence-to-sequence learning converts an input sequence into an …”
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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

“… Sinter ore is the main raw material of the blast furnace, and burn-through point (BTP) has a direct influence on the yield, quality, and energy consumption of …”
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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

“… Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system …”
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Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework von Botterill, Tom E., McMillan, Hilary K.

“… Hydrologic signatures are quantitative metrics that describe a streamflow time series. Examples include annual maximum flow, baseflow index and recession shape …”
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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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A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting von Jahangir, Mohammad Sina, You, John, Quilty, John

“… •Quantile-based encoder-decoder models proposed for probabilistic runoff forecasting.•Proposed models more accurate and reliable than benchmarks for 3 test …”
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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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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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MobileCount: An efficient encoder-decoder framework for real-time crowd counting von Wang, Peng, Gao, Chenyu, Wang, Yang, Li, Hui, Gao, Ye

“… In this work, we propose a computation-efficient encoder-decoder architecture, named MobileCount, which is specifically designed for high-accuracy real-time …”
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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

“… Human motion prediction aims to automatically predict the future motion sequence based on an observed human motion sequence. In this paper, we propose a novel …”
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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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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

“… Extracting difference features is a key technique for polarimetric synthetic aperture radar (PolSAR) image change detection. Although the current PolSAR change …”
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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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Rwkv-vg: visual grounding with RWKV-driven encoder-decoder framework: RWKV-VG: visual grounding von Nian, Fudong, Gu, Yanhong, Wang, Wentao, Liu, Aoyu, Zhang, Dong, Li, Fanding

“… Visual grounding is a fundamental task that bridges vision and language, aiming to accurately associate natural language queries with specific regions in an …”
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