2022
DOI: 10.1155/2022/4158977
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Exploration and Application of College Students’ Management Model during the Epidemic Based on Big Data Technology

Abstract: In the face of the sudden new crown pneumonia epidemic, “retroversions” across the country are facing difficulties, fighting with their lives on the front line of the fight against the epidemic, and protecting the lives and health of the people across the country with love. As an important position for epidemic prevention work, colleges and universities, in order to maintain the physical and mental health of students, use the grid management model to closely organize the student management work network, and ex… Show more

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Cited by 20 publications
(12 citation statements)
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“…Only the users and mobile phone software who have passed the two-way authentication can decrypt and see the private information data. In the aspect of user login authentication, biometric features such as face and fingerprint recognition and multi-factor authentication with user name and password are adopted to strengthen the security of user login [17][18][19][20][21].…”
Section: System Security Problem Solutionmentioning
confidence: 99%
“…Only the users and mobile phone software who have passed the two-way authentication can decrypt and see the private information data. In the aspect of user login authentication, biometric features such as face and fingerprint recognition and multi-factor authentication with user name and password are adopted to strengthen the security of user login [17][18][19][20][21].…”
Section: System Security Problem Solutionmentioning
confidence: 99%
“…However, in practice, it also encounters problems such as the large number of students, complex training content, and the inability to communicate information in a timely manner [9][10][11]. Therefore, there is an urgent need to establish the informatization management of innovation and entrepreneurship training programs for college students to improve the efficiency of training work and realize the scientific management of training work [12].…”
Section: Introductionmentioning
confidence: 99%
“…Zhengrong Ding, Nana Gao. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] …”
mentioning
confidence: 99%
“…However, these methods have limitations, including biases, inaccuracies, and the potential for individuals to underreport or misinterpret their emotional experiences. Emotional computing technology offers a transformative approach to psychological health assessment by integrating advanced algorithms, machine learning techniques, and sensor data to provide a more objective and comprehensive understanding of individuals' emotional states [14]. One of the key advantages of emotional computing in psychological health assessment is its ability to capture and analyze subtle cues that may go unnoticed by traditional assessment methods.…”
Section: Introductionmentioning
confidence: 99%