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Integrated machine learning algorithms for predictive maintenance of construction equipment

Dania Alsmadi et al.

International Journal of Construction Management2026https://doi.org/10.1080/15623599.2026.2636983article
AJG 1ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1080/15623599.2026.2636983

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@article{dania2026,
  title        = {{Integrated machine learning algorithms for predictive maintenance of construction equipment}},
  author       = {Dania Alsmadi et al.},
  journal      = {International Journal of Construction Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/15623599.2026.2636983},
}

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Integrated machine learning algorithms for predictive maintenance of construction equipment

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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