PREDICTION OF DRIVER'S OSCILLATORY COMFORT USING AN ARTIFICIAL NEURAL NETWORK IN CONDITIONS OF HORISONTAL VIBRATIONS

Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/22877

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DC Field	Value	Language
dc.contributor.author	Saveljic I.	-
dc.contributor.author	D. Macuzic Saveljic, Slavica	-
dc.contributor.author	Arsić, Branko	-
dc.contributor.author	Djukic, Tijana	-
dc.contributor.author	Filipovic, Nenad	-
dc.date.accessioned	2025-12-26T12:26:38Z	-
dc.date.available	2025-12-26T12:26:38Z	-
dc.date.issued	2024	-
dc.identifier.uri	https://scidar.kg.ac.rs/handle/123456789/22877	-
dc.description.abstract	While driving, forces from the road are transmitted to the vehicle in the form of vibrations, impacting the driver and passengers and potentially causing discomfort. This research builds upon prior studies, extending the exploration of the impact of horisontal fore-and-aft vibrations on the human body under various seating conditions and stimuli values, introducing a novel approach with ANN.	en_US
dc.language.iso	en	en_US
dc.relation	451-03-47/2023-01/200378, 451-03-47/2023-01/200107	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	vibrations	en_US
dc.subject	discomfort	en_US
dc.subject	STHT function	en_US
dc.title	PREDICTION OF DRIVER'S OSCILLATORY COMFORT USING AN ARTIFICIAL NEURAL NETWORK IN CONDITIONS OF HORISONTAL VIBRATIONS	en_US
dc.type	conferenceObject	en_US
dc.description.version	Published	en_US
dc.type.version	PublishedVersion	en_US
dc.source.conference	CEACM S4ML	en_US
Appears in Collections:	Institute for Information Technologies, Kragujevac

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