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Weighted bidirectional gated recurrent network for event detection
Modern information technology is able to store enormous amounts of information even at high speeds and volumes. Meanwhile, handling continuous data...
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ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy
Diabetes is a chronic disease that affects people all over the world and raises the glucose level in the blood as a result of a lack of insulin....
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Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study
A nearly diagnosis and inference of Autism Spectrum Disorder (ASD) demands an automated intelligent system that can efficiently and accurately detect...
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BGRDNet: RGB-D salient object detection with a bidirectional gated recurrent decoding network
Traditional U-Net framework generates multi-level features by the successive convolution and pooling operations, and then decodes the saliency cue by...
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Acoustic model with hybrid Deep Bidirectional Single Gated Unit (DBSGU) for low resource speech recognition
Nowadays Long Short-Term Memory RNNs (LSTM RNNs) are widely used in Automatic Speech Recognition (ASR) and achieved excellent result in the problem...
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GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm
Email is one of the most popular communication tools for delivering messages online. However, tremendously delivered email has harmed users through...
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Towards automated check-worthy sentence detection using Gated Recurrent Unit
People are exposed to a lot of information daily, which is a mix of facts, opinions, and false claims. The rate at which information is created and...
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Deep learning based concurrent excited gated recurrent unit for crop recommendation based on soil and climatic conditions
Agriculture plays a substantial part in aggregating the nation's economic growth. The production of crops had been greatly affected due to...
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A prospective approach for human-to-human interaction recognition from Wi-Fi channel data using attention bidirectional gated recurrent neural network with GUI application implementation
Human Activity Recognition (HAR) research has gained significant momentum due to recent technological advancements, artificial intelligence...
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Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed...
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Performance Curve Profiling and Gated Recurrent Unit Based State Detection for Cloud Native Microservices
Cloud-native technologies have been widely adopted by practitioners and companies with various needs to ensure quality of service by deploying...
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Protein secondary structure prediction using data-partitioning combined with stacked convolutional neural networks and bidirectional gated recurrent units
Protein secondary structure prediction (PSSP) is one of the challenging tasks in computational biology. Deep neural networks have significantly...
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Bi-directional Long Short-Term Memory with Gated Recurrent Unit Approach for Next Word Prediction in Bodo Language
Next word prediction, an essential task in neural language processing, holds significant importance across various applications like text completion,...
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An improved multi-scale convolutional neural network with gated recurrent neural network model for protein secondary structure prediction
Protein structure prediction is one of the main research areas in the field of Bio-informatics. The importance of proteins in drug design attracts...
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BG-3DM2F: Bidirectional gated 3D multi-scale feature fusion for Alzheimer’s disease diagnosis
A computer-aided diagnosis system is one of the crucial decision support tools under the medical imaging scope. It has recently emerged as a powerful...
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Twitter sentiment analysis using hybrid gated attention recurrent network
Sentiment analysis is the most trending and ongoing research in the field of data mining. Nowadays, several social media platforms are developed,...
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Gated Attention Unit: An Attention-Based Recurrent Neural Network in an Intelligent 3C Assembly Framework
3C industry is the general name of computer, communication and consumer electric industry. Driven by China’s policy and market, the demand for 3C...
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Deep artificial neural network based multilayer gated recurrent model for effective prediction of software development effort
Project management requires the chaotic but important task of estimating software development effort. Several soft computing approaches have been...
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Best-tree wavelet packet transform bidirectional GRU for short-term load forecasting
This work proposes the short-term load forecasting (STLF) using a combination of wavelet transform (WT) and bidirectional gated recurrent unit...
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Context-aware sentiment analysis with attention-enhanced features from bidirectional transformers
Sentiment analysis is a means of excerpting subjective information from client reviews. The existing shallow model lacks in addressing multiple...
