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
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
Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach
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DOI: 10.1109/access.2022.3162424
Abstract: Reheating furnaces are used to homogeneously reheat the steel stock (Billets, blooms or slabs) at a temperature between 1000°C and 125°:C before hot rolling. Supply of accurate, stable, and reliable control of temperature is most… read more here.
Keywords: recurrent unit; control; temperature; prediction ... 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
Fault Location and Faulty Line Selection in Transmission Networks: Application of Improved Gated Recurrent Unit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2022.3172406
Abstract: Wide-area measurement systems (WAMS) are efficient tools to estimate the fault location in the large-scale power systems. In this study, a fast and accurate deep learning based structure is proposed to detect the faulty lines… read more here.
Keywords: network; fault location; recurrent unit; gated recurrent ... See more keywords
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2910513
Abstract: RNA-Protein binding plays important roles in the field of gene expression. With the development of high throughput sequencing, several conventional methods and deep learning-based methods have been proposed to predict the binding preference of RNA-protein… read more here.
Keywords: protein binding; scale convolutional; recurrent unit; rna protein ... See more keywords
PreVFs-RG: A Deep Hybrid Model for Identifying Virulence Factors Based on Residual Block and Gated Recurrent Unit.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3223038
Abstract: Many infectious diseases are caused by bacterial pathogens. The pathogenic mechanisms of bacterial pathogens are complex and it is usually caused by virulence factors (VFs) in many cases. Whether VFs exist is the main difference… read more here.
Keywords: residual block; recurrent unit; model; virulence factors ... See more keywords
Development of a Safety Prediction Method for Arterial Roads Based on Big-Data Technology and Stacked AutoEncoder-Gated Recurrent Unit
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3172480
Abstract: Modern complexities associated with an arterial traffic makes existing safety prediction methods insufficient to meet desired standards required by recent developmental needs. This paper proposes an enhanced active safety prediction method based on big-data approach… read more here.
Keywords: safety; stacked autoencoder; recurrent unit; autoencoder gated ... See more keywords