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INTELLIGENT SYSTEMS OF ARTIFICIAL VENTILATION IN MODERN MEDICAL PRACTICE
Vrach, 2023Currently, respiratory support with the use of artificial lung ventilation (ALV) is the leading method of intensive care for severe respiratory disorders of various origins. Constant technological improvement of ventilators in order to find the most physiological and safe modes opens up new opportunities for the creation of many automated control ...
I. Sopenko +3 more
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Theory of RPOD adjustment of air volume for mine intelligent ventilation
The International Journal of Ventilation, 2021The intelligentization of mine ventilation is the inevitable development trend of ventilation system. Rapid, precise, and on-demand (RPOD) adjustment of air volume is one of the main problems that need to be solved in mine intelligent ventilation.
P. Jia +4 more
semanticscholar +1 more source
Intelligent Ventilation System for COVID-19 Prevention using the IoT and Decision Tree
International Conference on Emerging Technologies, 2022COVID-19 can be spread through the air, caused by inhaling smaller droplets1 containing SARS-CoV-2 in an indoor environment. In particular, both people with symptoms and people without symptoms make many small droplets and respiratory droplets when they ...
M. A. Febriantono +3 more
semanticscholar +1 more source
Metro load prediction and intelligent ventilation control
2022Yanfei Li, Zhu Duan
exaly +2 more sources
An intelligent control system for ventilators
Medical Engineering & Physics, 1998This study reports on a ventilator system that consists of several intelligent modules for controlling ventilator operation. These modules are software programs in two controllers. One controller is a personal computer used for diagnoses, determining settings and checking the effects of settings.
C S, Wang, D, Shaw, K S, Jih
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An optimal and intelligent control strategy to ventilate a greenhouse
2013 IEEE Congress on Evolutionary Computation, 2013In this paper, it is presented an optimal and intelligent technique to ventilate a greenhouse during the day. This technique is the result of the combination of a neural network and the particle swarm optimization algorithm. First, predictions on the dynamic behavior of the system variables are computed by means of a multilayer recurrent perceptron ...
R. Avila-Miranda +2 more
openaire +1 more source

