Keyword "DEEP LEARNING" found in the following publications:

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)
DESIGN OF RECURRENT NEURAL NETWORKS&NBSP;FOR CLASSIFICATION OF AGE DIFFERENCES&NBSP;IN THE FUNCTIONING OF THE SYMBOLIC SYSTEM&NBSP;OF QUANTITY ASSESSMENT
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
Abstract | Full text (PDF)
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 ...
Abstract | Full text (PDF)
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 ...
Abstract | Full text (PDF)
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 ...
Abstract | Full text (PDF)
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 ...
Abstract | Full text (PDF)

Research result. Information technologies is included in the scientific database of the RINTs (license agreement No. 765-12/2014 dated 08.12.2014).

Журнал включен в перечень рецензируемых научных изданий, рекомендуемых ВАК

The journal is indexed by the following scientific databases and platforms

Research Result. Research result. Information technologies (ISSN 2518-1092)

The journal materials and website are licensed under Creative Commons «Attribution» 4.0 International.

The Founder: Federal State Autonomous Educational Institution of Higher Education "Belgorod National Research University"The Founder’s address: 85 Pobedy Street, Belgorod, the Belgorod region, 308015, Russia

The Publisher: Federal State Autonomous Educational Institution of HigherEducation "Belgorod National Research University" The Founder’s address:85 Pobedy Street, Belgorod, the Belgorod region, 308015, Russia

Editors Office: chief editor Chernomorets Andrey Alekseevich, e-mail: RR_IT@bsu.edu.ru, phone: +7 (4722) 30-13-92.

Registered by the Federal Service for Supervision of Communications, Information Technology and Mass Media (Roskomnadzor)

Certificate

Info letter (Russian)

Have questions?
You can write to us:

✉ Content manager

✉ Site administration

✉ Executive Secretary