Open Access
| Issue |
MATEC Web Conf.
Volume 402, 2024
The 4th International Conference on Engineering, Technology, and Innovative Researches (The 4th ICETIR 2022)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 6 | |
| Section | Civil Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202440204004 | |
| Published online | 23 August 2024 | |
- R. Hariyanto, A.S Soeroyo, D. Aripin (1985). Data-data Teknik PLTA Ketenger. PLN, Banyumas [Google Scholar]
- Sucofindo Team. (2023). RLA Penstock 1 PLTA Ketenger. P.T. Sucofindo (Cabang Cilacap), Cilacap [Google Scholar]
- Technical Team Unsoed. (2023). Technical Study of the Feasibility of the Kali Pelus Bridge, Jalan Senopati, Arcawinangun Village, Banyumas Regency. Banyumas Regency Public Works Department, Purwokerto (in Bahasa Indonesia). [Google Scholar]
- A.H. Alavi, A.H. Gandomi. (2017). Big data in civil engineering. Automation in Construction, 79(), 1–2. doi:10.1016/j.autcon.2016.12.008 [CrossRef] [Google Scholar]
- H.S. Munawar, F. Ullah, S. Qayyum, D. Shahzad. 2022. “Big Data in Construction: Current Applications and Future Opportunities”. Big Data Cogn. Comput., 6, 18. https://doi.org/10.3390/bdcc6010018 [CrossRef] [Google Scholar]
- M. Bilal, Oyedele, O. Lukumon, J. Qadir, K. Munir, S.O. Ajayi, O.O. Akinade, H.A. Owolabi, H.A. Alaka, M. Pasha. (2016). “Big Data in the construction industry: A review of present status, opportunities, and future trends”. Advanced Engineering Informatics, 30(3), 500–521. doi:10.1016/j.aei.2016.07.001 [CrossRef] [Google Scholar]
- N. Garyaev & V. Garyaeva. (2019). “Big data technology in construction”. E3S Web of Conferences (Vol. 97, p. 01032). EDP Sciences. [CrossRef] [EDP Sciences] [Google Scholar]
- M. Sun & J. Zhang. (2020). “Research on the application of block chain big data platform in the construction of new smart city for low carbon emission and green environment”. Computer Communications, 149, 332–342. [CrossRef] [Google Scholar]
- S. Bang & N. Olsson. (2022). “Artificial intelligence in construction projects: a systematic scoping review”. [Google Scholar]
- Y. Pan & L. Zhang. (2021). “Roles of artificial intelligence in construction engineering and management: A critical review and future trends”. Automation in Construction, 122, 103517. [CrossRef] [Google Scholar]
- K. Tan. (2018). “The framework of combining artificial intelligence and construction 3D printing in civil engineering”. MATEC web of conferences (Vol. 206, p. 01008). EDP Sciences. [CrossRef] [EDP Sciences] [Google Scholar]
- V.B. Chandanshive & A.M. Kazi. (2017, March). “Application of Internet of Things in Civil Engineering construction projects-A State of the Art”. Proceedings of the 11th INDIACom, 4th International Conference on Computing for sustainable global development (Vol. 4, pp. 1836–1839). [Google Scholar]
- A. Ghosh, D.J. Edwards & M.R. Hosseini (2021). “Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry”. Engineering, Construction and Architectural Management, 28(2), 457–481. [Google Scholar]
- I. Susanti et al. (2023). “Application and Analysis of Remote Sensing for the Initial Baseline of the Quantitative Comfort Index in Ibukota Nusantara (IKN) and Its Surroundings”. In: Basit, A., et al. Proceedings of the International Conference on Radioscience, Equatorial Atmospheric Science and Environment and Humanosphere Science. INCREASE 2022. Springer Proceedings in Physics, vol 290. Springer, Singapore. https://doi.org/10.1007/978-981-19-9768-6_78 [Google Scholar]
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