Keyword "DEEP LEARNING" found in the following publications:

• A DEEP LEARNING METHOD BASED ON LANGUAGE MODELS FOR PROCESSINGNATURAL LANGUAGE RUSSIAN COMMANDS IN HUMAN ROBOT INTERACTION

  The development of high performance human-machine interface systems for controlling robotic platforms by natural language is a relevant task ...

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• SENTIMENT ANALYSIS OF TEXT BY MACHINE LEARNING METHODS

  There is a gigantic amount of information in the world. One of the most common forms of information storage ...

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• DESIGN OF RECURRENT NEURAL NETWORKS FOR CLASSIFICATION OF AGE DIFFERENCES IN THE FUNCTIONING OF THE SYMBOLIC SYSTEM OF QUANTITY ASSESSMENT

  The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...

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• 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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• INTEGRATING FEDERATED LEARNING AND YOLOV11 FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES

  Autonomous vehicles (AVs) require high-performance systems for environmental perception, especially for accurate object detection. Systems based ...

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• ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ МАШИННОГО ОБУЧЕНИЯ И НЕЙРОННЫХ СЕТЕЙ В ЦИФРОВЫХ СИСТЕМАХ ДЛЯ ПРОВЕДЕНИЯ ФАРМАКОЛОГИЧЕСКИХ ИССЛЕДОВАНИЙ ЛЕКАРСТВЕННЫХ СРЕДСТВ

  Introduction: Nowadays an increase in the amount of information creates the need to replace and update data processing technologies. One ...

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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. ...

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