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Comparison of Different Convolutional Neural Network Architectures for Satellite Image SegmentationConvolutional neural networks for detection geo- objects on the satellite images from DSTL, Landsat
Melanoma detection with deep neural networks convolutional neural network architecture was developed, which was applied to the processing of dermoscopic
Artificial neural network technology for text recognitionThe paper shows the use of artificial neural networks for the task of scene text
recognition. A
Convolutional neural network with semantically meaningful activations for speech analysis. The mathematical
apparatus of convolutional neural networks (CNN) seems suitable
to implement this kind
Convolutional neural network in the recognition of spatial images of sugarcane crops in the troncal region of the coast of Ecuador networks. The deep convolution of neural networks is used both in the recognition as well
Convolutional neural network based pest and disease recognitionIn recent years, convolutional neural network, as one of the most representative algorithms of deep
Multi-Branch Convolutional Neural Network Architecture for Glaucoma Diagnosis Using Optical Coherence Tomography Biomarkers and Synthetic Image SimulationThis paper presents a multi-branch convolutional neural network designed for glaucoma diagnosis
Convolutional neural networks and face recognition taskConvolutional neural networks and face recognition task
Computer-aided cholelithiasis diagnosis using explainable convolutional neural network introduced in the literature, their use is limited because Convolutional Neural Network (CNN) models
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