Detection of Behavioral States Based on Sensor Data Using Machine Learning

dc.contributor.authorLevchenko, S. S.
dc.contributor.authorЛевченко, С. С.
dc.contributor.authorІванова, Ірина Вікторівна
dc.contributor.authorIvanova, Iryna V.
dc.date.accessioned2026-06-23T07:41:54Z
dc.date.available2026-06-23T07:41:54Z
dc.date.issued2026
dc.description.abstractThe presented work is dedicated to question classifications behavioral states participants based on analysis multimodal data from sensors. This study was implemented within the framework of a specialized English-language Python programming course. A feature teaching was full integration technical English languages in education process: from study documentation machine learning libraries for communication with teachers and colleagues exclusively in English in the language for discussion architecture models and results experiments.
dc.identifier.citationLevchenko S.S., Ivanova I.V. Detection of Behavioral States Based on Sensor Data Using Machine Learning. Матеріали ХVІІI Всеукраїнської науково-практичної конференції «Тенденції розвитку ІТ-технологій в Україні»: збірник наукових праць. Черкаси, 2026. С. 51-52
dc.identifier.urihttp://csbc.edu.ua/documents/student/2404265.pdf
dc.identifier.urihttps://dr.csbc.edu.ua/handle/123456789/2345
dc.publisherЧДБК
dc.subjectSOCIAL SCIENCES::Social sciences::Education
dc.subjectHUMANITIES and RELIGION::Languages and linguistics
dc.subjectSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science
dc.subjectSOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information and language technology
dc.titleDetection of Behavioral States Based on Sensor Data Using Machine Learning
dc.typeThesis
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