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Burst Area Identification of Water Supply Network by Improved DenseNet Algorithm with Attention Mechanism
Pipe burst events pose threats to the safety and stability of water supply networks. Deep learning models have been studied for burst location...
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MRDCA: a multimodal approach for fine-grained fake news detection through integration of RoBERTa and DenseNet based upon fusion mechanism of co-attention
Being widely produced for misleading and convincing public community with biased information, various fake news has a significantly negative...
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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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Breast Cancer Detection Based DenseNet with Attention Model in Mammogram Images
Breast cancer has become a very interesting topic due to the massive number of deaths among women across the world. Radiologists can diagnose breast...
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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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Classification of Lung Diseases Using an Attention-Based Modified DenseNet Model
Lung diseases represent a significant global health threat, impacting both well-being and mortality rates. Diagnostic procedures such as Computed...
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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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Efficient brain tumour detection system by Cascaded Fully Convolutional Improved DenseNet with Attention-based Adaptive Swin Unet-derived segmentation strategy
The reason behind brain tumors is the rapid and uncontrolled growth of human cells. From this, the developed model motivated to design of the...
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Combining multiscale learning and attention mechanism densely connected network for single image deraining
Single image deraining is an extremely challenging problem since rain streaks severely degrade the image quality and affect the performance of...
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Image classification based on tensor network DenseNet model
Image classification, the primary domain where deep neural networks significantly contribute to image analysis, requires a substantial amount of...
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Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism
BackgroundVia counting the different kinds of white blood cells (WBCs), a good quantitative description of a person’s health status is obtained, thus...
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Automated detecting and severity grading of diabetic retinopathy using transfer learning and attention mechanism
Diabetic retinopathy (DR) is a common retinal complication led by diabetes over the years, considered a cause of vision loss. Its timely...
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Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
For early detection of cancer tumors, the semantic segmentation based technique is proposed because the existing numerous methods fail while...
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Three-dimensional DenseNet self-attention neural network for automatic detection of student’s engagement
Today, due to the widespread outbreak of the deadly coronavirus, popularly known as COVID-19, the traditional classroom education has been shifted to...
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i5mC-DCGA: an improved hybrid network framework based on the CBAM attention mechanism for identifying promoter 5mC sites
Background5-Methylcytosine (5mC) plays a very important role in gene stability, transcription, and development. Therefore, accurate identification of...
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EL-DenseNet: a novel method for identifying the flame state of converter steelmaking based on dense convolutional neural networks
The identification of flame status in converter steelmaking is of great significance for steel smelting and molten steel quality. It can monitor the...
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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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LWDN: lightweight DenseNet model for plant disease diagnosis
Plant disease diagnosis in smart agriculture is a crucial issue that carries substantial economic significance on a global scale. To address this...
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Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification
Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) based text classification algorithms currently in use can successfully extract...
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MDAA: multi-scale and dual-adaptive attention network for breast cancer classification
Attention mechanism is crucial in the auxiliary diagnosis of breast cancer. However, methods relying on a single attention mechanism may not always...
