Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion.

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Názov: Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion.
Autori: Liang, Feng, Li, Panpan
Zdroj: International Journal of High Speed Electronics & Systems; Dec2025, Vol. 34 Issue 4, p1-25, 25p
Predmety: TEACHER development, CONVOLUTIONAL neural networks, LEAST squares, DATABASES, INFORMATION theory
Abstrakt: In order to improve the quality of teachers' professional development and ensure their healthy life, a method of identifying the psychological crisis of innovative and entrepreneurial teachers based on multi-source information fusion is proposed. This method uses application programming interface (API) and Java DataBase Connectivity (JDBC) technology to collect teachers' multi-source psychological information from the microblog platform, uses CHI-PCA hybrid feature dimensionality reduction method to implement dimensionality reduction processing on the psychological information of innovation and entrepreneurship teachers, and uses D–S reasoning to achieve multi-source integration of teachers' psychological information based on the dimensionality reduction processing of teachers' psychological information. The teacher's psychological information after multi-source fusion is used as input, and the recognition of teacher's psychological crisis is realized through bilinear convolution neural network (BCNN) and support least squares vector machine. The experimental results show that this method has a strong ability to collect teachers' multi-source psychological information, which can effectively identify the psychological crisis of innovation and entrepreneurship teachers in a period of time, and the application effect is relatively significant. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of High Speed Electronics & Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liang%2C+Feng%22">Liang, Feng</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Panpan%22">Li, Panpan</searchLink>
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  Label: Source
  Group: Src
  Data: International Journal of High Speed Electronics & Systems; Dec2025, Vol. 34 Issue 4, p1-25, 25p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22TEACHER+development%22">TEACHER development</searchLink><br /><searchLink fieldCode="DE" term="%22CONVOLUTIONAL+neural+networks%22">CONVOLUTIONAL neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22LEAST+squares%22">LEAST squares</searchLink><br /><searchLink fieldCode="DE" term="%22DATABASES%22">DATABASES</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+theory%22">INFORMATION theory</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In order to improve the quality of teachers' professional development and ensure their healthy life, a method of identifying the psychological crisis of innovative and entrepreneurial teachers based on multi-source information fusion is proposed. This method uses application programming interface (API) and Java DataBase Connectivity (JDBC) technology to collect teachers' multi-source psychological information from the microblog platform, uses CHI-PCA hybrid feature dimensionality reduction method to implement dimensionality reduction processing on the psychological information of innovation and entrepreneurship teachers, and uses D–S reasoning to achieve multi-source integration of teachers' psychological information based on the dimensionality reduction processing of teachers' psychological information. The teacher's psychological information after multi-source fusion is used as input, and the recognition of teacher's psychological crisis is realized through bilinear convolution neural network (BCNN) and support least squares vector machine. The experimental results show that this method has a strong ability to collect teachers' multi-source psychological information, which can effectively identify the psychological crisis of innovation and entrepreneurship teachers in a period of time, and the application effect is relatively significant. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of High Speed Electronics & Systems is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0129156425402748
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      – Code: eng
        Text: English
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      – SubjectFull: TEACHER development
        Type: general
      – SubjectFull: CONVOLUTIONAL neural networks
        Type: general
      – SubjectFull: LEAST squares
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      – SubjectFull: DATABASES
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      – SubjectFull: INFORMATION theory
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      – TitleFull: Psychological Crisis Identification Method of Innovation and Entrepreneurship Teachers Based on Multi-Source Information Fusion.
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              M: 12
              Text: Dec2025
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              Y: 2025
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