Open Access
E3S Web of Conf.
Volume 485, 2024
The 7th Environmental Technology and Management Conference (ETMC 2023)
Article Number 01001
Number of page(s) 12
Section Green Cities, Eco-Industries, and Sustainable Infrastructure
Published online 02 February 2024
  1. M. De Schepper, P. Van den Heede, I. Van Driessche I, N. De Belie, Life Cycle Assessment of Completely Recyclable Concrete. Materials (Basel). 7, 6010–27 (2014) [CrossRef] [Google Scholar]
  2. C. Meyer, The greening of the concrete industry. Cem. Concr. Compos. 31, 601–5 (2009) [CrossRef] [Google Scholar]
  3. S. Morsali, U. Baltaci, A New Environmental Perspective to The Concrete, The Most Used Material in Construction as a Significant Pollution Source (2019) [Google Scholar]
  4. de Bortoli A, Understanding the environmental impacts of virgin aggregates: Critical literature review and primary comprehensive life cycle assessments J. Clean. Prod. 415 137629 (2023) [CrossRef] [Google Scholar]
  5. F. Qu, W. Li, W. Dong, V. W. Y. Tam, T. Yu, Durability deterioration of concrete under marine environment from material to structure: A critical review. J. Build. Eng. 35 (2021) [Google Scholar]
  6. V. M. Sounthararajan, A.Sivakumar, Corrosion measurements in reinforced fly ash concrete containing steel fibres using strain gauge technique. Int. J. Corros. 2013 (2013) [CrossRef] [Google Scholar]
  7. O. Almubaied, H. K. Chai, M. R. Islam, K. S. Lim, C. G, Tan, Monitoring Corrosion Process of Reinforced Concrete Structure Using FBG Strain Sensor. IEEE Trans. Instrum. Meas. 66 2148–55 (2017) [CrossRef] [Google Scholar]
  8. S. H. Kee, J. Zhu, Using piezoelectric sensors for ultrasonic pulse velocity measurements in concrete. Smart Mater. Struct. 22 (2013) [Google Scholar]
  9. T. Arumaikani, S. Sasmal, T. Kundu, Detection of initiation of corrosion induced damage in concrete structures using nonlinear ultrasonic techniques. J. Acoust. Soc. Am. 151 1341–52 (2022) [CrossRef] [PubMed] [Google Scholar]
  10. J. A. Mukhti, K. P. V. Robles, K. H. Lee, S. H. Kee, Evaluation of Early Concrete Damage Caused by Chloride-Induced Steel Corrosion Using a Deep Learning Approach Based on RNN for Ultrasonic Pulse Waves. Materials (Basel). 16 (2023) [Google Scholar]
  11. Yamane T and Chun P J 2020 Crack detection from a concrete surface image based on semantic segmentation using deep learning J. Adv. Concr. Technol. 18 493–504 [CrossRef] [Google Scholar]
  12. American Society for Testing and Material, ASTM C597 - 09 Standard Test Method for Pulse Velocity Through Concrete vol 04 (2009) [Google Scholar]
  13. C. Szegedy, W. Lia, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich. Going deeper with convolutions. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 07-12-June 1–9 (2015) [Google Scholar]
  14. J. Suto, S. Oniga, C. Lung, I. Orha, Comparison of offline and real-time human activity recognition results using machine learning techniques. Neural Comput. Appl. 32 15673–86 (2020) [CrossRef] [Google Scholar]
  15. V. Khadse, P. N. Mahalle, S. V. Biraris, An Empirical Comparison of Supervised Machine Learning Algorithms for Internet of Things Data Proc. - 2018 4th Int. Conf. Comput. Commun. Control Autom. ICCUBEA 2018 2–7 (2018) [Google Scholar]
  16. S. Thawkar, A hybrid model using teaching–learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography. J. Ambient Intell. Humaniz. Comput. 12 8793–808 (2021) [CrossRef] [Google Scholar]
  17. G. Y. Ho, M. Leonhard, G. F. Volk, G. Foerster, C. Pototschnig, K. Klinge, T. Granitzka, A. K. Zienau, B. Schneider-Stickler, Inter-rater reliability of seven neurolaryngologists in laryngeal EMG signal interpretation. Eur. Arch. Oto-Rhino-Laryngology 276 2849–56 (2019) [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.