bsc-computer_science-thesis

Research Thesis in Machine Learning for the achievement of Bachelor of Science in Computer Science.

https://github.com/robertovicario/bsc-computer_science-thesis

Science Score: 44.0%

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  • CITATION.cff file
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    Low similarity (7.4%) to scientific vocabulary

Keywords

bachelor-thesis machine-learning research stress-detection
Last synced: 6 months ago · JSON representation ·

Repository

Research Thesis in Machine Learning for the achievement of Bachelor of Science in Computer Science.

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bachelor-thesis machine-learning research stress-detection
Created about 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

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Apply Machine Learning for Stress Detection in Office Work Environments

Abstract

Detecting stress in workplace environments represents an innovative element for promoting employee health and well-being, particularly in office settings. The use of machine learning in this context offers an effective approach to identifying early signs of stress, allowing organizations to intervene promptly to mitigate associated risks. Of particular interest is examining whether the results obtained through unsupervised learning methods can be comparable to those derived from supervised approaches, as highlighted in the research "Exploring Unsupervised Machine Learning Classification Methods for Physiological Stress Detection" by Iqbal et al. (2022) in the journal Frontiers in Medical Technology.

Thesis

| ... | thesis.png | | :--: | :--: | | [ ENG ] | [ ITA ] |

Credits

[!IMPORTANT]

If you use or reference this project, please cite it as follows:

bib @thesis{vicario2024apply, author = {Vicario, Roberto}, title = {Apply Machine Learning for Stress Detection in Office Work Environments}, year = {2024}, url = {https://raw.githubusercontent.com/robertovicario/BSc-Computer-Science-Thesis/main/Applicare_il_Machine_Learning_per_il_Rilevamento_dello_Stress_negli_Ambienti_di_Lavoro_di_Ufficio.pdf} }

License

This project is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. You can find the complete text of the license in the project repository.

Owner

  • Name: Roberto Vicario
  • Login: robertovicario
  • Kind: user
  • Location: Como, Italy
  • Company: University of Insubria

Software Engineer

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
    - family-names: "Vicario"
      given-names: "Roberto"
      orcid: "https://orcid.org/0009-0009-7426-3958"
title: "BSc Computer Science Thesis"
version: 1.0.0
date-released: 2024-02-21
url: "https://github.com/robertovicario/BSc-Computer_Science-Thesis"

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