Buchumschlag

Developing a semantic image model using machine learning based on convolutional neural networks

This paper describes the main areas of research in the field of developing computer models for the automatization of digital image recognition. The concept of the semantic image model is introduced and the implementation of the machine learning model for solving the problem of automatic construction...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Datum:	2020
Hauptverfasser:	Andon, P.I., Glybovets, A.M., Kuryliak, V.V.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	PROBLEMS IN PROGRAMMING 2020
Schlagworte:	semantic image model machine learning computer vision convolutional neural networks image links UDC 004.855
Online Zugang:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/427
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Problems in programming
Завантажити файл:

Institution

Problems in programming

Ähnliche Einträge

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Self-learning neural network technologies in the systems of structural recognition of visual objects
von: Berestovskii, A. E., et al.
Veröffentlicht: (2015)

Convolutional neural network model and software for classification of typical pests
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2022)

Machine learning methods analysis in the document classification problem
von: Zhyrkova, A.P., et al.
Veröffentlicht: (2021)

A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face
von: Hryhorenko, Y.S., et al.
Veröffentlicht: (2023)

A prediction of the frequency of non-periodic signals based on convolutional neural networks
von: Subbotin, S. A., et al.
Veröffentlicht: (2018)

The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
von: Krysenko, Pavlo
Veröffentlicht: (2025)

Method of managing the execution of tasks of a multithreaded program according to a given dependency graph
von: Terentiev, R.V., et al.
Veröffentlicht: (2024)

Practical content of the elements of petrophysical model of terrigenous sandstones — oil and gas reservoirs in neural networks, deep learning and regression methods
von: Vyzhva, Serhiy, et al.
Veröffentlicht: (2025)

Neural network technology adaptation to the small-size objects identification in satellite images of insufficient resolution within the graphic reference images database
von: Stankevich, Sergey, et al.
Veröffentlicht: (2020)

Extracting structure from text documents based on machine learning
von: Kudim, K.A., et al.
Veröffentlicht: (2023)

Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques
von: Kramov, A.A., et al.
Veröffentlicht: (2020)

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
von: Кузнєцова, Н. В., et al.
Veröffentlicht: (2023)

Application of machine learning in software engineering: an overview
von: Moroz, O.H., et al.
Veröffentlicht: (2019)

Parallel software auto-tuning using statistical modeling and machine learning
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2018)

Developing a semantic image model using machine learning based on convolutional neural networks
von: P. I. Andon, et al.
Veröffentlicht: (2020)

Recurrent neural network model for music generation
von: Komarskiy, O.C., et al.
Veröffentlicht: (2022)

Application of deep learning and computer vision frameworks for solving video context prediction problem
von: Voloshyn, D.
Veröffentlicht: (2018)

Implementation of neural network based 2D seismic images super resolution approach
von: Noskov, Oleksii, et al.
Veröffentlicht: (2025)

Application of deep learning technology for creating intellectual autonomous machines
von: Bilokon, O.S.
Veröffentlicht: (2020)

Using fast algorithms for calculation of the correlation and convolution to prepare reference images
von: Tsybulska, Y. O.
Veröffentlicht: (2018)

Application of neural networks in OLAP-systems
von: Nabibayeva, G.Ch.
Veröffentlicht: (2024)

Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5
von: Fu, Minglei, et al.
Veröffentlicht: (2017)

Granulation of object features values as a means of structural recognition methods efficiency rise
von: Gorokhovatskiy, V. A., et al.
Veröffentlicht: (2014)

Neural networks’ learning process acceleration
von: Katerynych, L., et al.
Veröffentlicht: (2020)

Strange Images in Remote Sensing and Their Properties
von: Li, Fangfang, et al.
Veröffentlicht: (2023)

IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
von: Pliugin, V. E., et al.
Veröffentlicht: (2019)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
von: Gorbunov, A. A., et al.
Veröffentlicht: (2017)

Methods for implementing quadrotors autonomy based on hybrid learning methods
von: Ramyk, I.P., et al.
Veröffentlicht: (2026)

A method for integrating images of different wave bands with the goal of creating universal references for combined correlation-extreme navigation systems
von: Mezentsev, A. V., et al.
Veröffentlicht: (2018)

Theoretical basis for a new approach to the problem of identifying the results of cloning in digital images stored in lossy formats
von: Kobozeva, A. A., et al.
Veröffentlicht: (2015)

Fractal method of forming etalon images in vision systems
von: Yuzefovich, V. V., et al.
Veröffentlicht: (2015)

The Structure of a Hyper Fast Calculation Method Linear Convolution of Discrete Signals
von: Калиновський, Я. О.
Veröffentlicht: (2013)

Modelling videocard memory performance for LLM neural networks
von: Rahozin, D.V., et al.
Veröffentlicht: (2024)

Challenges and opportunities in the programming environment SEMANTIC WEB
von: Andon, P.I., et al.
Veröffentlicht: (2015)

Predicting Filtered Image Quality Using Transfer Learning on Sentinel-1 Speckle Noise with DenseNet-121
von: Al-Senaikh, Raed, et al.
Veröffentlicht: (2025)

Application of a wavelet neural network approach to detect stator winding short circuits in asynchronous machines
von: Sakhara, S., et al.
Veröffentlicht: (2023)

Recurrent neural networks for the problem of improving numerical meteorological forecasts
von: Doroshenko, А.Yu., et al.
Veröffentlicht: (2023)

Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
von: Khodnevych, Yaroslav, et al.
Veröffentlicht: (2025)

Optimization methods for face recognition algorithmes
von: Sitkov, I.P., et al.
Veröffentlicht: (2025)