An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods.

Ibrahim MJ, Kainat J, AlSalman H, Ullah SS, Al-Hadhrami S, Hussain S

DOI: 10.1155/2022/7931729
Published: 2022
Container: Applied bionics and biomechanics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/7931729,
  title = {An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods.},
  author = {Ibrahim MJ and Kainat J and AlSalman H and Ullah SS and Al-Hadhrami S and Hussain S},
  year = {2022},
  journal = {Applied bionics and biomechanics},
  doi = {10.1155/2022/7931729},
  url = {https://doi.org/10.1155/2022/7931729}
}

RIS

TY  - JOUR
TI  - An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods.
AU  - Ibrahim MJ
AU  - Kainat J
AU  - AlSalman H
AU  - Ullah SS
AU  - Al-Hadhrami S
AU  - Hussain S
PY  - 2022
JO  - Applied bionics and biomechanics
DO  - 10.1155/2022/7931729
UR  - https://doi.org/10.1155/2022/7931729
ER  -

APA

MJ, I., J, K., H, A., SS, U., S, A., & S, H. (2022). An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods.. Applied bionics and biomechanics. https://doi.org/10.1155/2022/7931729

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pubmed · retrieved 2026-09-25T02:19:05.334Z