Identifying the most significant features for stress prediction of automobile drivers : a comprehensive study
May Y. Al-Nashashibi, Nuha El-Khalili, Wa'el Hadi, Abedal-Kareem Al-Banna, Ghassan Issa
| Year of publication: |
2024
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|---|---|
| Authors: | Al-Nashashibi, May Y. ; El-Khalili, Nuha ; Hadi, Wa'el ; Al-Banna, Abedal-Kareem ; Issa, Ghassan |
| Published in: |
Journal of information & knowledge management : JIKM. - Singapore : World Scientific Publ., ISSN 0219-6492, ZDB-ID 2115864-2. - Vol. 23.2024, 2, Art.-No. 2350064, p. 1-53
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| Subject: | automobile drivers | contextual | evaluation metrics | feature selection methods | physiological features | Stress prediction | Stress | Work stress | Kfz-Industrie | Automotive industry | Prognoseverfahren | Forecasting model | Kraftfahrzeug | Motor vehicle |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219649223500648 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014534895