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Mask Distillation Network for Conjunctival Hyperemia Severity Classification
To achieve automatic, fast and accurate severity classification of bulbar conjunctival hyperemia severity, we proposed a novel prior knowledge-based...
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Path signature-based XAI-enabled network time series classification
Classifying network time series (NTS) is crucial for automating network administration and ensuring cyberspace security. It enables the detection 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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Time Series Classification Based on Forward Echo State Convolution Network
The Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its...
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A video compression-cum-classification network for classification from compressed video streams
Video analytics can achieve increased speed and efficiency by operating directly on the compressed video format, thereby alleviating the decoding...
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Prostate classification network (PC-Net) for automated classification of Prostate cancer in Magnetic resonance imaging
Prostate cancer (PCa) is found to be the second most common cause of death in men after lung cancer, making it necessary to diagnose as early as...
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ParaLkResNet: an efficient multi-scale image classification network
Recently, deep neural networks have achieved remarkable results in computer vision tasks with the widely used visual attention mechanism. However,...
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ResGAT: an improved graph neural network based on multi-head attention mechanism and residual network for paper classification
Paper classification plays a pivotal role in facilitating precise literature retrieval, recommendations, and bibliometric analyses. However, current...
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MGA-Net: multiscale global feature aggregation network for arteriovenous classification
Subtle retinal vascular changes and abnormalities can serve as crucial biomarkers for numerous systemic diseases. The classification of retinal...
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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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Hierarchical capsule network for hyperspectral image classification
Hyperspectral imaging is a highly advanced and sophisticated method for capturing images in hundreds of narrow, contiguous spectral bands. However,...
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Neural Network Sentiment Classification of Russian Sentences into Four Classes
AbstractThis work is devoted to the sentiment classification of Russian sentences into four classes: positive, negative, mixed, and neutral. Unlike...
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High-order proximity and relation analysis for cross-network heterogeneous node classification
Cross-network node classification aims to leverage the labeled nodes from a source network to assist the learning in a target network. Existing...
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Environmental Sound Classification Based on Attention Feature Fusion and Improved Residual Network
AbstractThe classification of environmental sound is an important research area in artificial intelligence and its classification accuracy is greatly...
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Multi-directional guidance network for fine-grained visual classification
Fine-grained images have a high confusion among subclasses. The key to this is finding discriminative regions that can be used for classification....
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Medtransnet: advanced gating transformer network for medical image classification
Accurate medical image classification poses a significant challenge in designing expert computer-aided diagnosis systems. While deep learning...
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GACaps-HTC: graph attention capsule network for hierarchical text classification
Hierarchical text classification has been receiving increasing attention due to its vast range of applications in real-world natural language...
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Hypergraph convolutional network for hyperspectral image classification
Recently, graph-based neural networks have been investigated in hyperspectral image (HSI) classification to address the limited global feature...
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Ensemble coupled convolution network for three-class brain tumor grade classification
The brain tumor grade classification is one of the prevalent tasks in brain tumor image classification. The existing models have employed transfer...
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A novel deep neural network model using network deconvolution with attention based activation for crop disease classification
Accurate classification of crop diseases in its initial phase can help farmers to take necessary actions against the damage to their crops. The paper...
