„convolution-based process“
Suchergebnisse
750 Treffer
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RIECN: learning relation-based interactive embedding convolutional network for knowledge graph
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Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
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Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age
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STTG-TTE: spatial–temporal gated multi-modality approach for travel time estimation based on temporal convolutional networks
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Improved deep convolutional neural network-based COOT optimization for multimodal disease risk prediction
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Classification of physiological disorders in apples fruit using a hybrid model based on convolutional neural network and machine learning methods
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Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud
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A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
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A novel invasive plant detection approach using time series images from unmanned aerial systems based on convolutional and recurrent neural networks
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A multi-scale channel-wise convolution-based multi-level heat stress assessment
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Vision-based size classification of iron ore pellets using ensembled convolutional neural network
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An approach based on 1D fully convolutional network for continuous sign language recognition and labeling
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Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction
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A genetic programming-based convolutional neural network for image quality evaluations
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Enhanced graph convolutional network based on node importance for document-level relation extraction
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A real-time embedded drogue detection method based on lightweight convolution neural network for autonomous aerial refueling
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COMPOSV: compound feature extraction and depthwise separable convolution-based online signature verification
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Large-scale cellular traffic prediction based on graph convolutional networks with transfer learning
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Sparse one-dimensional convolutional neural network-based feature learning for fault detection and diagnosis in multivariable manufacturing processes
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Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection