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Pediatric Research
The study of patient-ventilator interactions (PVI) in mechanically ventilated neonates is limited by the lack of unified PVI definitions and tools to perform large scale analyses.An observational study was conducted in 23 babies randomly selected from 170 neonates who were ventilated with SIPPV-VG, SIMV-VG or PSV-VG mode for at least 12 h.
David, Chong, Gusztav, Belteki
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The study of patient-ventilator interactions (PVI) in mechanically ventilated neonates is limited by the lack of unified PVI definitions and tools to perform large scale analyses.An observational study was conducted in 23 babies randomly selected from 170 neonates who were ventilated with SIPPV-VG, SIMV-VG or PSV-VG mode for at least 12 h.
David, Chong, Gusztav, Belteki
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A Network of Networks for Noninvasive Mechanical Ventilation
Archivos de Bronconeumología ((English Edition)), 2008Salvador, Díaz Lobato +1 more
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The application of computers to the solution of mine ventilation networks.
The ventilation circuit of a mine is a complex network of underground airways. In all but the smallest of mines, airflow through the circuit is induced by mechanical means. The relationship between the volume of air flowing and the associated pressure loss in any airway is non-linear.openaire +2 more sources
Artificial neural networks and naturally ventilated buildings
Building Research & Information, 1996L'auteur estime que les resultats obtenus offrent la fiabilite requise. Ils font apparaitre que les reseaux neuronaux peuvent etre utilises comme moyens de prevision dans l'etude des configurations d'ouverture de fenetres, pour l'analyse de l'effet des mouvements d'air interieurs. Des travaux complementaires seront necessaires en vue de l'elaboration d'
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Controllability of a pit ventilation network
Soviet mining science, 1974R. B. Tyan +2 more
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Reliability evaluation for ventilation system of gas tunnel based on Bayesian network
Tunnelling and Underground Space Technology, 2021Hui-qing Lan
exaly
Neural Network for Simulating Ventilation in a Dairy House
2007Artificial neural networks (ANNs) are a computational technology alternative to the classic methods based on physic modeling. They can estimate input-output functions, without a mathematical model of the reciprocal physical relationship, through a learning process based on presentation of numerical data samples.
CASCONE, Giovanni +3 more
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