Prediction of human performance based on psychophysiological features of resilience and machine learning
Rezilijentnost na stres definira se kao sposobnost nošenja sa stresom koja omogućuje pozitivnu prilagodbu na nepovoljne događaje. Rezilijentnost je prepoznata kao važan čimbenik koji utječe na performance i zdravlje kod vojnika, hitnih službi, kontrolora zračnog prometa te ostalih visoko stresnih za...
| Permalink: | http://skupnikatalog.nsk.hr/Record/fer.KOHA-OAI-FER:52606/Similar |
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| Glavni autor: | Šarlija, Marko (-) |
| Ostali autori: | Ćosić, Krešimir (Thesis advisor), Popović, Siniša |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Zagreb :
M. Šarlija, Faculty of electrical engineering and computing,
2021.
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APA stil citiranja
Šarlija, M., Ćosić, K., & Popović, S. (2021). Prediction of human performance based on psychophysiological features of resilience and machine learning: Prediction of human performance based on psychophysiological features of resilience and machine learning : doctoral thesis. Zagreb: M. Šarlija, Faculty of electrical engineering and computing.
Chicago stil citiranjaŠarlija, Marko, Krešimir Ćosić, and Siniša Popović. Prediction of human performance based on psychophysiological features of resilience and machine learning: Prediction of human performance based on psychophysiological features of resilience and machine learning : doctoral thesis. Zagreb: M. Šarlija, Faculty of electrical engineering and computing, 2021.
MLA stil citiranjaŠarlija, Marko, Krešimir Ćosić, and Siniša Popović. Prediction of human performance based on psychophysiological features of resilience and machine learning: Prediction of human performance based on psychophysiological features of resilience and machine learning : doctoral thesis. Zagreb: M. Šarlija, Faculty of electrical engineering and computing, 2021.