A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and Digitalization Perceptions in Construction Industry
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67195-1_6
Reference13 articles.
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2. Bigliardi, B., Bottani, E., Casella, G.: Enabling technologies, application areas and impact of industry 4.0: a bibliographic analysis. Procedia Manuf. 42, 322–326 (2020). https://doi.org/10.1016/j.promfg.2020.02.086
3. Tetik, M., Peltokorpi, A., Seppänen, O., Holmström, J.: Direct digital construction: technology-based operations management practice for continuous improvement of construction industry performance. Autom. Constr. 107, 102910 (2019). https://doi.org/10.1016/j.autcon.2019.102910
4. Darko, A., Chan, A.P.C., Adabre, M.A., Edwards, D.J., Hosseini, M.R., Ameyaw, E.E.: Artificial intelligence in the AEC industry: scientometric analysis and visualization of research activities. Autom. Constr. 112 (2020). https://doi.org/10.1016/j.autcon.2020.103081
5. Lantz, B.: Machine Learning with R, Section Edition (2015)
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