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   Articles with "gated recurrent" as a keyword



Gated recurrent unit network: A promising approach to corporate default prediction

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recommendations! Published in 2024 at "Journal of Forecasting"

DOI: 10.1002/for.3057

Abstract: This paper presents a promising approach using gated recurrent unit (GRU) network to predict bankruptcy based on the whole sequence of financial statements of the companies listed on an unregulated market. This approach contrasts with… read more here.

Keywords: gated recurrent; recurrent unit; approach; network ... See more keywords

Multi-modal gated recurrent units for image description

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recommendations! Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-5856-1

Abstract: Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture objects contained in the image and… read more here.

Keywords: gated recurrent; image; recurrent units; multi modal ... See more keywords

CAT-BiGRU: Convolution and Attention with Bi-Directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection

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recommendations! Published in 2022 at "Cognitive Computation"

DOI: 10.1007/s12559-021-09821-0

Abstract: Sarcasm detection has been a well-studied problem for the computational linguistic researchers. However, research related to different categories of sarcasm has still not gained much attention. Self-Deprecating Sarcasm (SDS) is a special category of sarcasm… read more here.

Keywords: deprecating sarcasm; self deprecating; attention; bigru ... See more keywords
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Automated detection of premature ventricular contraction based on the improved gated recurrent unit network

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recommendations! Published in 2021 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2021.106284

Abstract: BACKGROUND AND OBJECTIVE Premature ventricular contraction (PVC) is the common arrhythmia disease, affecting thousands of individuals worldwide. However, the traditional PVC detection is cumbersome by visually inspecting electrocardiogram (ECG) signals. METHODS In this work, we… read more here.

Keywords: gated recurrent; network; premature ventricular; improved gated ... See more keywords

Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems

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recommendations! Published in 2022 at "European Journal of Control"

DOI: 10.1016/j.ejcon.2022.100632

Abstract: Owing to their superior modeling capabilities, gated Recurrent Neural Networks, such as Gated Recurrent Units (GRUs) and Long Short-Term Memory networks (LSTMs), have become popular tools for learning dynamical systems. This paper aims to discuss… read more here.

Keywords: recurrent neural; internal model; model; network ... See more keywords

A Deep Gated Recurrent Unit based model for wireless intrusion detection system

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recommendations! Published in 2021 at "ICT Express"

DOI: 10.1016/j.icte.2020.03.002

Abstract: Abstract With the advances and growth of various wireless technologies, it is imperative to implement robust Intrusion Detection Systems (IDS). This paper proposes the implementation of Deep Gated Recurrent Unit (DGRU) Based classifier as well… read more here.

Keywords: recurrent unit; intrusion detection; gated recurrent; deep gated ... See more keywords
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Wind power forecasting – A data-driven method along with gated recurrent neural network

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recommendations! Published in 2021 at "Renewable Energy"

DOI: 10.1016/j.renene.2020.10.119

Abstract: Abstract Effective wind power prediction will facilitate the world’s long-term goal in sustainable development. However, a drawback of wind as an energy source lies in its high variability, resulting in a challenging study in wind… read more here.

Keywords: wind; gated recurrent; data driven; power forecasting ... See more keywords

A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors

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recommendations! Published in 2021 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2021.107785

Abstract: Abstract Remaining useful life (RUL) prediction is fundamental to prognostics and health management (PHM). Considering the advantages of both model-based and data-driven prognostic approaches, this paper develops a hybrid prognostic method for machinery degradation. First,… read more here.

Keywords: hybrid prognostic; prognostic method; model; gated recurrent ... See more keywords

Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-63878-z

Abstract: Sunspots play a crucial role in both weather forecasting and the monitoring of solar storms. In this work, we propose a novel combined model for sunspot prediction using improved gated recurrent units (GRU) guided by… read more here.

Keywords: gated recurrent; sunspot; model; pinball loss ... See more keywords

Optimizing cavitation fault forecasting in pump-turbine systems through gated recurrent units

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recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0251643

Abstract: The pressure fluctuation data in the pump-turbine runner region exhibit significant nonlinearity. The method of utilizing neural networks is employed to analyze pressure fluctuations in order to determine the occurrence of cavitation phenomena. This paper… read more here.

Keywords: pressure; pump turbine; cavitation; gated recurrent ... See more keywords

A Session-Based Customer Preference Learning Method by Using the Gated Recurrent Units With Attention Function

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2895647

Abstract: In this paper, we investigate an attention function combined with the gated recurrent units (GRUs), named GRUA, to raise the accuracy of the customer preference prediction. The attention function extracts the important product features by… read more here.

Keywords: customer; attention; session; attention function ... See more keywords