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An industrial network intrusion detection algorithm based on IGWO-GRU
The openness and interconnectedness of industrial control systems (ICSs) is increasing, leading to a heightened risk of network-based attacks....
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Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Accurate grant classification of network traffic not only assists service providers in making acceptable allocations based on actual business...
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Computer-aided system for bleeding detection in WCE images based on CNN-GRU network
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate gastrointestinal diseases such as hemorrhage, ulcer, and...
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MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction
The core of sentence classification is to extract sentence semantic features. The existing hybrid methods have huge parameters and complex models....
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Improving Performance of Intrusion Detection Using ALO Selected Features and GRU Network
The expansion of the internet has not only opened up new possibilities for cooperation, networking, and ingenuity, but also presented fresh security...
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Lightweight micro-motion gesture recognition based on MIMO millimeter wave radar using Bidirectional-GRU network
Non-contact gesture recognition is a novel form of human–computer interaction. It has broad prospects in many applications, such as Augmented...
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Medium-Term AQI Prediction in Selected Areas of Bangladesh Based on Bidirectional GRU Network Model
Currently, Bangladesh is among the countries with the highest levels of air pollution in the world. Major cities of Bangladesh experience severe air...
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Beamforming and lightweight GRU neural network combination model for multi-channel speech enhancement
In this paper, a multi-channel speech enhancement structure combining beamformers and lightweight neural networks is proposed. By using a first-order...
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A lightweight GRU-based gesture recognition model for skeleton dynamic graphs
Human-computer interaction is a discipline that studies the interaction between computer systems and users. Nowadays, it has become an important...
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Inception inspired CNN-GRU hybrid network for human activity recognition
Human Activity Recognition (HAR) involves the recognition of human activities using sensor data. Most of the techniques for HAR involve hand-crafted...
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GRU-based model-free adaptive control for industrial processes
Many industrial processes have the characteristics such as large time delay, strong coupling or nonlinearity, which make them difficult to control....
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Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty....
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Urban traffic forecasting using attention based model with GCN and GRU
Now-a-days since number of vehicles are growing day by day on the roads in urban and metropolitan area, hence traffic jam is becoming very common...
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Recognition of human activity using GRU deep learning algorithm
Human activity recognition (HAR) is a challenging issue in several fields, such as medical diagnosis. Recent advances in the accuracy of deep...
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DeepLG SecNet: utilizing deep LSTM and GRU with secure network for enhanced intrusion detection in IoT environments
The rapid proliferation of the Internet of Things (IoT) has led to a significant surge in interconnected devices across diverse domains, ranging from...
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An attention-based bidirectional GRU network for temporal action proposals generation
Temporal action detection is an important yet challenging task in video understanding task. Temporal action proposals generation is a common module...
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Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing
Trajectory anomalies serve as early indicators of potential issues and frequently provide valuable insights into event occurrence. Existing methods...
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XLNet-CNN-GRU dual-channel aspect-level review text sentiment classification method
Aiming at the problem that the feature information of review text is not fully captured and the aspect information extraction ability is poor in the...
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An optimal model using hybrid LCNN- GRU for efficient hyperspectral image classification
Hyperspectral image classification is the task of assigning a class label to each pixel in an image captured using hyperspectral sensors. The high...
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Enhanced GRU-BiLSTM Technique for Crop Yield Prediction
Agriculture is the major source of food and significantly contributes to Indian employment, and the economy is intricately tied to the outcomes of...
