Multi-modal gated recurrent units for image description
Sign Up to like & getrecommendations! 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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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
Automated detection of premature ventricular contraction based on the improved gated recurrent unit network
Sign Up to like & getrecommendations! 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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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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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
Wind power forecasting – A data-driven method along with gated recurrent neural network
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Session-Based Customer Preference Learning Method by Using the Gated Recurrent Units With Attention Function
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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
Projected Minimal Gated Recurrent Unit for Speech Recognition
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DOI: 10.1109/access.2020.3041477
Abstract: Recurrent neural network (RNN) has the ability to learn long-term dependencies, which makes it suitable for acoustic modeling in speech recognition. In this paper, we revise RNN model used in acoustic modeling, namely, mGRUIP with… read more here.
Keywords: speech recognition; recurrent unit; projected minimal; gated recurrent ... See more keywords
Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems
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DOI: 10.1109/access.2022.3186323
Abstract: Using deep learning technologies, the channel estimate for an orthogonal frequency division multiplexing system (OFDM) based on pilots is done in this work. To be more specific, deep learning gated recurrent unit (GRU) neural networks… read more here.
Keywords: gated recurrent; learning gated; deep learning; channel ... See more keywords
A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks
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DOI: 10.1109/access.2022.3190008
Abstract: Nowadays, it is common for applications to require servers to run constantly and aim as close as possible to zero downtime. The slightest failure might cause significant financial losses and sometimes even lives. For this… read more here.
Keywords: network; recurrent unit; gated recurrent; deep learning ... See more keywords