Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan
Nowadays, everyone is experiencing stress regardless of race, age, and so on either stress in terms of work or learning thus causing a person to suffer from severe mental illness. Mental stress also can lead to mental illnesses like anxiety and depression. The proposed solution is to improve and vis...
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College of Computing, Informatics and Media, UiTM Perlis
2023
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my.uitm.ir.1006332024-09-27T01:44:29Z https://ir.uitm.edu.my/id/eprint/100633/ Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan Md Saad, Nurul Syahirah Mohd Ekhsan, Hawa Electronic Computers. Computer Science Nowadays, everyone is experiencing stress regardless of race, age, and so on either stress in terms of work or learning thus causing a person to suffer from severe mental illness. Mental stress also can lead to mental illnesses like anxiety and depression. The proposed solution is to improve and visualize the data visualization dataset related to the human stress detection level among students with display it on the dashboard using suitable charts. Data Visualization of Human Stress Detection Level among students will visualize the interactive dashboard that contains data from the data set that had been gathered from the Figshare website. This dashboard will visualize the data in a variety of charts to make the users become more productive and clearer. This dashboard visualization will assist the stakeholders in making decisions without hesitation. It is because the dashboard will display accurate information about human stress detection levels among students. College of Computing, Informatics and Media, UiTM Perlis 2023 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/100633/1/100633.pdf Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan. (2023) In: Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0). College of Computing, Informatics and Media, UiTM Perlis, pp. 103-104. ISBN 978-629-97934-0-3 |
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Electronic Computers. Computer Science Md Saad, Nurul Syahirah Mohd Ekhsan, Hawa Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
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Nowadays, everyone is experiencing stress regardless of race, age, and so on either stress in terms of work or learning thus causing a person to suffer from severe mental illness. Mental stress also can lead to mental illnesses like anxiety and depression. The proposed solution is to improve and visualize the data visualization dataset related to the human stress detection level among students with display it on the dashboard using suitable charts. Data Visualization of Human Stress Detection Level among students will visualize the interactive dashboard that contains data from the data set that had been gathered from the Figshare website. This dashboard will visualize the data in a variety of charts to make the users become more productive and clearer. This dashboard visualization will assist the stakeholders in making decisions without hesitation. It is because the dashboard will display accurate information about human stress detection levels among students. |
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Book Section |
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Md Saad, Nurul Syahirah Mohd Ekhsan, Hawa |
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Md Saad, Nurul Syahirah Mohd Ekhsan, Hawa |
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Md Saad, Nurul Syahirah |
title |
Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
title_short |
Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
title_full |
Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
title_fullStr |
Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
title_full_unstemmed |
Data visualization of human stress detection level / Nurul Syahirah Md Saad and Hawa Mohd Ekhsan |
title_sort |
data visualization of human stress detection level / nurul syahirah md saad and hawa mohd ekhsan |
publisher |
College of Computing, Informatics and Media, UiTM Perlis |
publishDate |
2023 |
url |
https://ir.uitm.edu.my/id/eprint/100633/1/100633.pdf https://ir.uitm.edu.my/id/eprint/100633/ |
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1811598166460465152 |
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