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The Construction and Application of an Intelligent Prediction Model for University Research Funding

Published: 26 March 2024 Publication History

Abstract

The accuracy of budget allocation for research and development (R&D) in higher education institutions is relatively deficient. This deficiency significantly hampers the proper establishment of the higher education technological innovation framework and the rational formulation of plans for technological advancement. Empirical analysis model was conducted based on panel data encompassing research input-output dynamics within university of W. By incorporating deep learning techniques, an intelligent predictive model for higher education research and development budget was formulated, with subsequent validation to ascertain the model's scientific validity.

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EBIMCS '23: Proceedings of the 2023 6th International Conference on E-Business, Information Management and Computer Science
December 2023
265 pages
ISBN:9798400709333
DOI:10.1145/3644479
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2024

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Author Tags

  1. Deep Learning
  2. Evaluation and Prediction of Funding
  3. Input-Output
  4. Intelligent Prediction
  5. Research Funding in university

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EBIMCS 2023

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Overall Acceptance Rate 143 of 708 submissions, 20%

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