Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning

Yi Sun, Dongfa Sheng, Dewen Liu

Open source

DOI: 10.3390/s23073416
Published: 2023-03-24
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s23073416,
  title = {Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning},
  author = {Yi Sun and Dongfa Sheng and Dewen Liu},
  year = {2023},
  journal = {Sensors},
  doi = {10.3390/s23073416},
  url = {https://doi.org/10.3390/s23073416}
}

RIS

TY  - JOUR
TI  - Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning
AU  - Yi Sun
AU  - Dongfa Sheng
AU  - Dewen Liu
PY  - 2023
JO  - Sensors
DO  - 10.3390/s23073416
UR  - https://doi.org/10.3390/s23073416
ER  -

APA

Sun, Y., Sheng, D., & Liu, D. (2023). Analysis of the Improvement of Engineering Mechanics Experimental Methods Based on IoT and Machine Learning. Sensors. https://doi.org/10.3390/s23073416

Source records

crossref · retrieved 2026-09-24T19:51:42.819Z