Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks-Reference-Cited by-同舟云学术

Enhancing building sustainability through aerodynamic shading devices: an integrated design methodology using finite element analysis and optimized neural networks

Published:2024-04-20 Issue:5 Volume:25 Page:4281-4294
ISSN:1563-0854
Container-title:Asian Journal of Civil Engineering
language:en
Short-container-title:Asian J Civ Eng

Author:

Al-Haddad Luttfi A.,Al-Muslim Yousif M.,Hammood Ahmed Salman,Al-Zubaidi Ahmed A.,Khalil Ali M.,Ibraheem Yahya,Imran Hadeel Jameel,Fattah Mohammed Y.,Alawami Mohammed F.,Abdul-Ghani Ali M.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42107-024-01047-3.pdf

Reference59 articles.

1. Ahmadi, M. (2024). Building energy efficiency: Using machine learning algorithms to accurately predict heating load. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-023-00967-w

2. Alawee, W. H., Al-Haddad, L. A., Dhahad, H. A., & Al-Haddad, S. A. (2024). Predicting the cumulative productivity of a solar distillation system augmented with a tilted absorber panel using machine learning models. Journal of Engineering Research. https://doi.org/10.1016/j.jer.2024.01.007

3. Al-Haddad, L. A., & Jaber, A. A. (2022). An intelligent quadcopter unbalance classification method based on stochastic gradient descent logistic regression. In: 2022 3rd Information technology to enhance e-learning and other application (IT-ELA) (pp. 152–156). https://doi.org/10.1109/IT-ELA57378.2022.10107922

4. Al-Haddad, L. A., & Jaber, A. A. (2023a). Influence of operationally consumed propellers on multirotor UAVs airworthiness: finite element and experimental approach. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2023.3267043

5. Al-Haddad, L. A., & Jaber, A. A. (2023b). An intelligent fault diagnosis approach for multirotor UAVs based on deep neural network of multi-resolution transform features. Drones, 7(2), 82. https://doi.org/10.3390/drones7020082

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing water resources for sustainable desalination: The integration of expert systems and solar energy in experimental applications;Desalination and Water Treatment;2024-10

2. Leak detection and localization in water distribution systems using advanced feature analysis and an Artificial Neural Network;Desalination and Water Treatment;2024-10

3. UAV propeller fault diagnosis using deep learning of non-traditional χ2-selected Taguchi method-tested Lempel–Ziv complexity and Teager–Kaiser energy features;Scientific Reports;2024-08-10

4. Failure analysis in predictive maintenance: Belt drive diagnostics with expert systems and Taguchi method for unconventional vibration features;Heliyon;2024-07

5. Environmental engineering solutions for efficient soil classification in southern Syria: a clustering-correlation extreme learning approach;International Journal of Environmental Science and Technology;2024-06-14