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Model of the global distribution of the total electron content based on deep dense convolutional autoencoder up the neural network learning process and avoid the gradient-vanishing problem in error

Benchmarking the efficiency of deep learning methods on the problem of predicting subjects’ age by chest radiographs to span from 21 to 70 years. The age prediction was performed by Convolutional Neural Networks Alex

Neural Network Models of Time Series of Network Traffic IntensitiesThe paper presents the results of building neural network predictive models of the occupancy

KFU at CLEF eHealth 2017 Task 1: ICD-10 coding of English death certificates with recurrent neural networks we implemented recurrent neural networks to automatically assign ICD-10 codes to fragments of death

Demographic prediction based on user reviews about medications, and deep neural networks (both convolutional and recurrent architectures) for this problem.

Training neural network for pattern recognitionThe article presents the problems connected with the subjects of neural networks: biological

Semantic segmentation algorithms of the earth's surface pictures based on neural network methods of images. A convolutional neural network with an original architecture was developed. Performing a software

Graphical data processing in the Clinical Decision Making System for the Respiratory Diseases Diagnosis using ML methods on a convolutional neural network that provide detection symptoms of pneumonia in patients based

3D-цефалометрия лица с применением искусственного интеллектаThe goal of this study was to create a new convolutional neural network (CNN) model system

Automated prediction of demographic information from medical user reviews of topic models and deep neural networks, for this problem on datasets mined from health-related web sites.

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