Keyword "DEEP LEARNING" found in the following publications:
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 ...
INTEGRATING FEDERATED LEARNING AND YOLOV11 FOR OBJECT DETECTION IN AUTONOMOUS VEHICLES
Autonomous vehicles (AVs) require high-performance systems for environmental perception, especially for accurate object detection. Systems based ...
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. ...
Introduction: Nowadays an increase in the amount of information creates the need to replace and update data processing technologies. One ...
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 ...
CORONARY ARTERY STENOSIS DETECTION BASED ON DEEP LEARNING MODELS
Nowadays, cardiovascular diseases are the most common threat to human health, and coronary artery disease is a particularly ...
The development of high performance human-machine interface systems for controlling robotic platforms by natural language is a relevant task ...
The article presents the result of the development and training of 4 recurrent neural network architectures to solve the ...
