Keyword "NEURAL NETWORK" found in the following publications:
TERMINOLOGY USE IN SCHOOL TEXTBOOKS: CORPUS ANALYSIS
The article presents the methods and results of the study that investigated the use of terminology in textbooks for ...
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. ...
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 ...
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 ...
INCREASING ACCURACY CLASSIFICATION OF X-RAY IMAGES USING TRAINING OF COMPOSITE NEURAL NETWORK
This article is devoted to solving the problem of classifying chest x-ray images by using the retraining of a ...
THE DECISION OF THE TASK OF CLASSIFICATION OF HUMAN BRAIN PATHOLOGIES ON MRI IMAGES
The article discusses the methods of classification of MRI images of the human brain. The methods are trained ...
Due to increasing competition in the market, there is an acute problem of increasing efficiency of processing on ...
APPLICATION OF MODERN DATA COLLECTION TECHNOLOGIES AND MACHINE LEARNING METHODS FOR FACE RECOGNITION
The article presents a comprehensive approach to the development and optimization of a neural network model for effective ...
COMPARISON OF EFFICIENCY OF DIFFERENT METHODS OF TRAINING NEURAL NETWORKS
The paper considers several approaches to training multilayer fully connected neural networks. In particular, the authors have developed ...
APPROACH TO VECTORIZATION OF DRAWINGS OF DESIGN DOCUMENTATION ON PAPER
The work proposes a solution to the problem of vectorization and machine interpretation of drawings of design documentation ...
NEW ARCHITECTURES AND ALGORITMS OF TRAINING THE ADAPTIVE RESONANCE THEORY TO NEURAL NETWORKS
The article analyzes the advantages and disadvantages of architectures and algorithms of training the Adaptive Resonance Theory (ART) to discrete ...Today, the construction of residential complexes is one of the priority areas of the dynamic regions of the ...
THE USE OF GENERATIVE-ADVERSARIAL NEURAL NETWORKS FOR IMAGE GENERATION
This article discusses the topic of image generation using neural networks. Thanks to the development of deeper learning ...
IMAGE SEGMENTATION FOR THE TASK OF DIAGNOSING FLAT-VALGUS DEFORMITY OF THE FEET
Flat-valgus deformity of the foot is a common condition that can lead to various health problems such as ...
INFORMATION TECHNOLOGIES IN THE MANAGEMENT OF INDUSTRIAL ENTERPRISES
This article discusses the use of information technologies in relation to the tasks of managing an industrial enterprise, ...
PRE-PROCESSING NEUROPHYSIOLOGICAL DATA ALGORITHM
The article is devoted to the development of an algorithm for pre-processing of neurophysiological data obtained using fNIRS (functional near- ...
Introduction: Nowadays an increase in the amount of information creates the need to replace and update data processing technologies. One ...
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
This article discusses the prospects, technologies and methods of using biometric data in cryptosystems. A method of using ...
COMPARATIVE ANALYSIS OF METHODS FOR DETECTING OBJECTS ON RADAR IMAGES USING NEURAL NETWORKS
Radar systems are an effective means of obtaining operational information about the state and dynamics of objects and ...
A METHOD FOR TRAINING AN INTELLIGENT AGENT USING DOUBLE DQN NETWORKS, WAYPOINTS AND REWARD FUNCTION
The problems of increasing the control efficiency of autonomous vehicles are considered. The problem of reducing the required ...
