| DC Field | Value | Language |
|---|
| dc.contributor.author | Камкичева, Н. В. | - |
| dc.contributor.author | Розум, Г. А. | - |
| dc.contributor.author | Савченко, В. В. | - |
| dc.contributor.author | Щербина, Н. В. | - |
| dc.contributor.author | Яшин, К. Д. | - |
| dc.date.accessioned | 2017-11-27T13:43:09Z | - |
| dc.date.available | 2017-11-27T13:43:09Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Технологии больших данных в работе с психофизиологическими характеристиками персонала железных дорог и водителей автомобильного транспорта / Н. В. Камкичева [и др.] // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 207-215. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28095 | - |
| dc.description.abstract | Psychophysiological qualities of drivers of vehicles have a decisive impact on road safety. Currently,
there is a large number of technical tools used to study psychophysiological functions and characteristics with the purpose
of conducting professional selection for various types of transportation. The development of relaxation skills in healthy
people using systems with biological feedback was studied. Studies of professionally important qualities in the profes-
sional selection of drivers of vehicles have been carried out. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | технологии данных | ru_RU |
| dc.subject | психофизиологические характеристики | ru_RU |
| dc.subject | персонал железных дорог | ru_RU |
| dc.subject | водители | ru_RU |
| dc.subject | автомобильный транспорт | ru_RU |
| dc.title | Технологии больших данных в работе с психофизиологическими характеристиками персонала железных дорог и водителей автомобильного транспорта | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
|
