Artificial intelligence recruitment text automatic generation based on light detection and improved neural network algorithm-Reference-Cited by-同舟云学术

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Artificial intelligence recruitment text automatic generation based on light detection and improved neural network algorithm

Published:2023-12-14 Issue:2 Volume:56 Page:
ISSN:0306-8919
Container-title:Optical and Quantum Electronics
language:en
Short-container-title:Opt Quant Electron

Author:

Huang Xinbin,Huang Yu,Mercado Cecilia

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s11082-023-05770-0.pdf

Reference19 articles.

1. Alva, A., Cangalaya, C., Quiliano, M., Krebs, C., Gilman, R.H., Sheen, P., Zimic, M.: Mathematical algorithm for the automatic recognition of intestinal parasites. PLoS One 12(4), 523–537 (2017)

2. Bang, T.S., Sornlertlamvanich, V.: Sentiment classification for hotel booking review based on sentence dependency structure and sub-opinion analysis. IEICE Trans. Inf. Syst. 101(4), 909–916 (2018)

3. Bukhsh, Z.A., Jansen, N., Saeed, A.: Damage detection using in-domain and cross-domain transfer learning. Neural Comput. Appl. 33(24), 16921–16936 (2021)

4. Craps, S., Pinxten, M., Knipprath, H., Langie, G.: Different roles, different demands. A competency-based professional roles model for early career engineers, validated in industry and higher education. Eur. J. Eng. Educat. 47(1), 144–163 (2022)

5. Cui, K., Jing, X.: Research on prediction model of geotechnical parameters based on BP neural network. Neural Comput. Appl. 31, 8205–8215 (2019)

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3. SENSE DIFFERENTIATION OF TEXTS AS A COMPONENT OF NEURAL NETWORK MODELLING;Scientific Journal of National Pedagogical Dragomanov University. Series 9. Current Trends in Language Development;2024-06-30

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