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DenSleepNet: DenseNet based model for sleep staging with two-frequency feature fusion and coordinate attention
Sleep staging is often applied to assess the quality of sleep and also be used to prevent and monitor psychiatric disorders caused by sleep. However,...
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Hybrid Underwater Acoustic Signal Multi-Target Recognition Based on DenseNet-LSTM with Attention Mechanism
The research on multi-target recognition of mixed underwater acoustic signals is of great significance for military missions, ocean development, and...
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An Attention Based Bi-LSTM DenseNet Model for Named Entity Recognition in English Texts
Named Entity Recognition (NER), a popular method that is used for recognizing entities that are present in a text document. It is a method for...
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Detection of Diabetic Retinopathy Severity by Image Classification Using a Hybrid Model and Attention Mechanism
Diabetic Retinopathy (DR) is an eye condition, caused by the complications of diabetes mellitus and this could even lead to extent of vision loss. DR...
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Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism
In metal cutting processing, prediction of the tool wear or VB value can help early warning and timely tool replacement before the tool reaches the...
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Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
The novel of Coronavirus (Covid-19) has effective in worldwide year by year, which led to a serious problem for affected lungs with different...
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Detection Method of Hardware Trojan Based on Attention Mechanism and Residual-Dense-Block under the Markov Transition Field
Since 2007, methods that utilize side-channel data to detect hardware Trojan (HT) problems have been widely studied. Machine learning methods are...
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Fake News Detection in Social Networks Using Attention Mechanism
Online social networks (OSNs) play a vital role in society by connecting people, but their credibility and reliability are questionable due to...
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Resnet-50 Integrated with Attention Mechanism for Remote Sensing Classification
Land use and land cover (LULC) classification is essential in many areas, including environmental monitoring and urban planning. There is an...
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DGNet: A Handwritten Mathematical Formula Recognition Network Based on Deformable Convolution and Global Context Attention
The Handwritten Mathematical Expression Recognition (HMER) task aims to generate corresponding LATEX sequences from images of handwritten...
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Multi-class Brain Tumor Classification with DenseNet-Based Deep Learning Features and Ensemble of Machine Learning Approaches
The timely and precise diagnosis of brain tumors is crucial in reducing mortality rates. Although Magnetic Resonance Imaging (MRI) is commonly used...
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An Automatic Recognition Method for Pathological Myopia Based on Attention Mechanism
Pathological myopia has become an important cause of blindness, and automatic recognition of pathological myopia by computer is significance for...
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A Nested U-Net with Efficient Channel Attention and D3Net for Speech Enhancement
The advanced improvements in deep learning neural networks in the speech enhancement area have vastly improved. The performance of speech enhancement...
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Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration
Pruning deep neural networks is crucial for enabling their deployment on resource-constrained edge devices, where the vast number of parameters and...
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An Optimized Segmentation Scheme for Ambiguous Pixels Based on Improved FCN and DenseNet
These past six years have witnessed that segmentation algorithms make a breakthrough due to the development of deep-based semantic segmentation...
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A Skin Cancer Classification Approach using GAN and RoI-Based Attention Mechanism
Skin cancer is a complex public health problem and one of the most common types of cancer worldwide. A biopsy of the skin lesion gives the definitive...
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Attention U-Net Oriented Towards 3D Depth Estimation
Advancements in 3D reconstruction, applied to depth estimation in both indoor and outdoor environments, have achieved significant performance in...
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A Low Illumination Images Enhancement Method Based on Conditional Generative Adversarial Networks with Self Attention Mechanism
Aiming at the problems of low signal-to-noise ratio, low resolution and low illumination in low illumination environment, this paper proposes a low...
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Densely Connected Image Classification Algorithm Combining with Self-attention
In each dense block of DenseNet, the outputs of all previous layers are stitched in the channel dimension as the input of the next layer, but the...
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MSAt-GAN: a generative adversarial network based on multi-scale and deep attention mechanism for infrared and visible light image fusion
For the past few years, image fusion technology has made great progress, especially in infrared and visible light image infusion. However, the fusion...
