Activity Recognition for Attachments of Construction Machinery Using Decision Trees
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44021-2_11
Reference12 articles.
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2. Rokach, L., Maimon, O.: Top-down induction of decision trees classifiers – a survey. IEEE Trans. Syst. Man Cybern. 35(4), 476–487 (2005)
3. Ahn, C.R., Lee, S.H., Peña-Mora, F.: Application of low-cost accelerometers for measuring the operational efficiency of a construction equipment fleet. J. Comput. Civ. Eng. 29(2) (2015)
4. Akhavian, R., Behzadan, A.H.: Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers. Adv. Eng. Inform. 29(4), 867–877 (2015)
5. Kim, H., Ahn, C.R., Engelhaupt, D., Lee, S.H.: Application of dynamic time warping to the recognition of mixed equipment activities in cycle time measurement. Autom. Constr. 87(1), 225–234 (2018)
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