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Automatic defect recognition in corrosion logging using magnetic imaging defectoscopy data this process shall be automated. This document describes an algorithm of automatic defect recognition based

Information Retrieval and Machine Translation in Solving the Task of Automatic Recognition of Adopted Fragments of Text DocumentsThe solution for the task of automatic recognition of adopted fragments in multilingual information

Семантическая сеть предметной области как основа для формирования сети переходов при автоматическом распознавании слитной речи сети корпуса текстов этой предметной области. The problem of speech recognition

Image recognition system based on convolutional neural networkIn recent years, image recognition technology has been widely used in civil, military, scientific

Human physical activity recognition algorithm based on smartphone data and convolutional neural network activities becomes more common and straightforward. Human activity recognition (HAR) is a prominent

FREQUENCY OF A FALSE POSITIVE DIAGNOSIS OF EPILEPSY: A SYSTEMATIC REVIEW OF OBSERVATIONAL STUDIES and psychogenic non-epileptic paroxysmal events were the commonest imitators of epilepsy. Misdiagnosis led

FREQUENCY OF A FALSE POSITIVE DIAGNOSIS OF EPILEPSY: A SYSTEMATIC REVIEW OF OBSERVATIONAL STUDIES and psychogenic non-epileptic paroxysmal events were the commonest imitators of epilepsy. Misdiagnosis led

Human physical activity recognition algorithm based on smartphone sensor data and convolutional neural networkHuman activity recognition (HAR) is a prominent application of advanced Machine Learning (ML

Automatic transformation of Russian manual-alphabet gestures into textual form that the system currently provides a fairly reliable recognition of all static and some dynamic RMA gestures

Developing a negative speech emotion recognition model for safety systems using deep learning technology more relevant, especially in speech recognition. This paper proposes a security safety system

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