Keyword "MACHINE LEARNING" found in the following publications:
At the moment, the problem of countering corruption in the field of public service still does not lose ...
The interaction of participants in digital platforms requires a prompt response to actions from each other. At the ...
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
INTELLIGENT ASSISTANCE IN ONLINE INTERVIEWING. EMOTIONAL ROUTING METHOD
In the era of the coronavirus pandemic, traditional human communication has undergone several significant changes. Most of the ...
ABOUT PLANNING THE ACTIVITY OF SENSOR NODES IN A WIRELESS SENSOR NETWORK
This article presents a new algorithm for optimizing the activity planning of sensor nodes in wireless sensor networks. ...
The article describes a developed algorithm of multispectral satellite data preprocessing for agricultural crop classification. The procedure for downloading ...
ANALYSIS CODE SIMILARITY AND SEARCH FOR ITS BORROWINGS
This article discusses an actual problem in the field of programming — the borrowing of code and the possibility ...
Today, one of the most promising areas in the field of information technology is machine learning. It is used ...
AN ALGORITHM FOR DETECTING NON-VERBAL MARKERS OF HUMAN BEHAVIOR ON VIDEO
Microexpressions are unconscious, short-term non-verbal signals that allow to determine the emotional state of a person. Microexpressions occur ...
This paper is devoted to the study of generative modeling in design used: this is an iterative process ...
Finding and reducing electricity losses is one of the key activities of network organizations to improve ...
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 ...
The study of individual psychological characteristics of people is important in the areas of education, management and administration, ensuring ...
ON THE POSSIBILITIES OF APPLYING MACHINE LEARNING IN LIGHTING CONTROL SYSTEMS
 Lighting control systems have been developing and improving in the last 10-20 years. The smart lighting market will only ...
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 ...