EDP Sciences logo
Access to the submission and peer-review system
Sciengine logo
Search
Menu
All issues Volume 8 (2025) Sust. Build., 8 (2025) 8 References
Open Access
Issue
Sust. Build.
Volume 8, 2025
Article Number 8
Number of page(s) 15
Section Innovative Building Designs
DOI https://doi.org/10.1051/sbuild/2025004
Published online 22 September 2025
  1. M. Fu, R. Liu, BIM-based automated determination of exit sign direction for intelligent building sign systems, Autom. Constr. 120, 103353–103364 (2020) [Google Scholar]
  2. M. Xu, Z. Mei, S. Luo, Y. Tan, Optimization algorithms for construction site layout planning: a systematic literature review, Eng. Constr. Archit. Manage. 27, 1913–1938 (2020) [Google Scholar]
  3. O. Franek, Č. Jarský, On implementation of plants in the indoor environment in intelligent buildings, Environ. Res. Eng. Manage. 77, 66–73 (2021) [Google Scholar]
  4. P. Zhao, W. Liao, H. Xue, X. Lu, Intelligent design method for beam and slab of shear wall structure based on deep learning, J. Build. Eng. 57, 104838104850 (2022a) [Google Scholar]
  5. Y. Shi, Z. Yan, C. Li, C. Li, Energy consumption and building layouts of public hospital buildings: a survey of 30 buildings in the cold region of China, Sustain. Cities Soc. 74, 103247–103260 (2021) [Google Scholar]
  6. Y. Zhang, B.K. Teoh, M. Wu, J. Chen, L. Zhang, Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence, Energy. 262, 125468–125478 (2023) [Google Scholar]
  7. B. Becerik-Gerber, G. Lucas, A. Aryal, M. Awada, M. Bergés, S.L. Billington, O. Boric-Lubecke, A. Ghahramani, A. Heydarian, F. Jazizadeh, R. Liu, R. Zhu, F. Marks, S. Roll, M. Seyedrezaei, J.E. Taylor, C. Höelscher, A. Khan, J. Langevin, M.L. Mauriello, J. Zhao, Ten questions concerning human-building interaction research for improving the quality of life, Build. Environ. 226, 109681–109692 (2022) [Google Scholar]
  8. M.L.C. Pena, A. Carballal, N. Rodríguez-Fernández, I. Santos, J. Romero, Artificial intelligence applied to conceptual design. A review of its use in architecture, Autom. Constr. 124, 103550–103563 (2021) [Google Scholar]
  9. Y. Zhao, C. Cao, Z. Liu, A framework for prefabricated component hoisting management systems based on digital twin technology, Building 12, 276–290 (2022b) [Google Scholar]
  10. P.N. Pizarro, L.M. Massone, F.R. Rojas, R.O. Ruiz, Use of convolutional networks in the conceptual structural design of shear wall buildings layout, Eng. Struct. 239, 112311–112322 (2021) [Google Scholar]
  11. G. Oliveri, F. Zardi, P. Rocca, M. Salucci, A. Massa, Building a smart EM environment-AI-enhanced aperiodic micro-scale design of passive EM skins, IEEE Trans. Antennas Propag. 70, 8757–8770 (2022) [Google Scholar]
  12. O. Alharasees, U. Kale, J. Rohacs, D. Rohacs, M.A. Eva, A. Boros, Green building energy: Patents analysis and analytical hierarchy process evaluation, Heliyon. 10, 32–45 (2024) [Google Scholar]
  13. J. Gu, J. Wang, X. Guo, G. Liu, S. Qin, Z. Bi, A metaverse-based teaching building evacuation training system with deep reinforcement learning, IEEE Trans. Syst. Man Cybern.: Systems. 53, 2209–2219 (2023) [Google Scholar]
  14. G.C. Trichopoulos, P. Theofanopoulos, B. Kashyap, A. Shekhawat, A. Modi, T. Osman, S. Kumar, A. Sengar, A. Chang, A. Alkhateeb, Design and evaluation of reconfigurable intelligent surfaces in real-world environment, IEEE Open J. Commun. Society. 3, 462–474 (2022) [Google Scholar]
  15. K. Saini, S. Kalra, S.K. Sood, Disaster emergency response framework for smart buildings, Future Gener. Comput. Syst. 131, 106–120 (2022) [Google Scholar]
  16. B. Yan, F. Hao, X. Meng, When artificial intelligence meets building energy efficiency, a review focusing on zero energy building, Artif. Intell. Rev. 54, 2193–2220 (2021) [Google Scholar]
  17. P. Su, W. Lu, J. Chen, S. Hong, Floor plan graph learning for generative design of residential buildings: a discrete denoising diffusion model, Build. Res Inf. 52, 627–643 (2024) [Google Scholar]
  18. W. Yaïci, K. Krishnamurthy, E. Entchev, M. Longo, Recent advances in Internet of Things (IoT) infrastructures for building energy systems: A review, Sensors. 21, 2152–2164 (2021) [Google Scholar]
  19. M. Pritoni, D. Paine, G. Fierro, C. Mosiman, M. Poplawski, A. Saha, J. Bender, J. Granderson, Energies. 14, 2024–2035 (2021) [Google Scholar]
  20. S. Wang, K. Xu, Z. Ling, Deep learning-based chip power prediction and optimization: an intelligent EDA approach, Int. J. Innov Res Comput. Sci. Technol. 12, 77–87 (2024) [Google Scholar]
  21. X. Zhou, K. Sun, J. Wang, J. Zhao, C. Feng, Y. Yang, W. Zhou, Computer vision enabled building digital twin using building information model, IEEE Trans. Ind. Inf. 19, 2684–2692 (2022) [Google Scholar]
  22. Y. Shen, M. Xu, Y. Lin, C. Cui, X. Shi, Y. Liu, Safety risk management of prefabricated building construction based on ontology technology in the BIM environment, Building 12, 765–780 (2022) [Google Scholar]
  23. M. Płoszaj-Mazurek, E. Ryńska, M. Grochulska-Salak, Methods to optimize carbon footprint of buildings in regenerative architectural design with the use of machine learning, convolutional neural network, and parametric design, Energies. 13, 5289–5300 (2020) [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.