Keyword "CONVOLUTIONAL NEURAL NETWORK" found in the following publications:

• VEHICLE DETECTION ON HIGHWAY IMAGES BASED ON SINGLE SHOT MULTIBOX DETECTOR

  In this article we consider the application of the modern object detection method – Single Shot Multibox Detector. We ...

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• USING NEURAL NETWORK TECHNOLOGIES IN DETERMINING THE EMOTIONAL STATE OF A PERSON IN ORAL COMMUNICATION

  Human oral speech often has an emotional connotation; this is due to the fact that emotions and our mood ...

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• INCREASING ACCURACY CLASSIFICATION OF X-RAY IMAGES USING TRAINING OF COMPOSITE NEURAL NETWORK

  This article is devoted to solving the problem of classifying chest x-ray images by using the retraining of a ...

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• COMPARATIVE ANALYSIS OF METHODS FOR DETECTING OBJECTS ON RADAR IMAGES USING NEURAL NETWORKS

  Radar systems are an effective means of obtaining operational information about the state and dynamics of objects and ...

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• COMPARISON OF THE STRUCTURE, EFFICIENCY, AND SPEED OF OPERATION OF FEEDFORWARD, CONVOLUTIONAL, AND RECURRENT NEURAL NETWORKS

  This article examines the efficiency of fully connected, recurrent, and convolutional neural networks in the context ...

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• USING CNN AND LSTM NEURAL NETWORKS  FOR ARKHANGELSK DIALECT WORD IDENTIFICATION AND CLASSIFICATION

  The study of dialects provides an opportunity to gain an understanding of the culture and history of a people, ...

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• COMPUTER SYSTEM FOR LEUKOCYTES CLASSIFICATION ON BLOOD CELL IMAGES

  This article is devoted to the development of a computer system for leukocytes classification on blood cell images. ...

  Abstract | Full text (PDF)