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Machine Learning Methods and Models for Recognizing Lung Inhomogeneity from Computed Tomography Scans CT slice, pattern recognition, determination of the volume of inhomogeneity and generation of a
Seismic pattern recognition by Wavelet based-higher order statisticsSeismic pattern recognition by Wavelet based-higher order statistics
Buildroot для систем на кристалле семейства Allwinner F1CX00SSoftware module for pattern recognition for microcomputers based on neural networks of Yolov5
Многослойные искусственные нейронные сети с функцией активации типа s-парабола и их приложения-parabola in artificial neural networks for solving problems of time series recognition and prediction are considered
Natural Language Processing Based on Semantic Patterns Approach based on semantic patterns.
An Iterative Error Patterns Library Formation Method for the Decoding of Product Codes library of error patterns is considered. In product coding, sequence code is first
transformed into a code
The analysis of various neural networks types and specifics and implementing the problem of recognizing numbers using their tools tools are analyzed to implement the problem. To solve the recognition task, the most rational solution
Development of a system for analyzing images of an interior using machine learning methods been built that implements the recognition of furniture items by image. Experimental studies have been
About One Method of Differentiation of a Flat Discrete Planar Curve in Image Processing of a contour with high curvature and consequently to raise quality of recognition of the shape
ОБЗОР МЕТОДОВ РАСПОЗНАВАНИЯ ОБРАЗОВ НА ОСНОВЕ ИНВАРИАНТОВ К ЯРКОСТНЫМ И ГЕОМЕТРИЧЕСКИМ ПРЕОБРАЗОВАНИЯМ descriptors necessary for pattern recognition. The relevance of highlighting significant features
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