Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Rashidi Abbas"'
Publikováno v:
Chemical Industry and Chemical Engineering Quarterly, Vol 19, Iss 3, Pp 321-331 (2013)
A quantitative structure-property relationship (QSPR) study based on partial least squares (PLS) and artificial neural network (ANN) was developed for the prediction of ferric iron precipitation in bioleaching process. The leaching temperature, initi
Externí odkaz:
https://doaj.org/article/751cda58bcb74c5b84a4633e2adcaba7
This study develops a framework for unmanned aerial systems (UASs) to monitor fall hazard prevention systems near unprotected edges and openings in high-rise building projects. A three-step machine-learning-based framework was developed and tested to
Externí odkaz:
http://arxiv.org/abs/2209.13137
Publikováno v:
In Automation in Construction 1 December 2024 168 Part A
Building Information Modeling (BIM) is increasingly used in the construction industry, but existing studies often ignore embedded rebars. Ground Penetrating Radar (GPR) provides a potential solution to develop as-built BIM with surface elements and r
Externí odkaz:
http://arxiv.org/abs/2110.15448
Publikováno v:
In Journal of Energy Storage 1 August 2024 95
Publikováno v:
In Advanced Engineering Informatics August 2024 61
Ground penetrating radar (GPR) is an efficient technique used for rapidly recognizing embedded rebar in concrete structures. However, due to the difficulty in extracting signals from GPR data and the intrinsic coupling between the rebar depth and siz
Externí odkaz:
http://arxiv.org/abs/2005.09643
Several studies have been conducted to automatically recognize activities of construction equipment using their generated sound patterns. Most of these studies are focused on single-machine scenarios under controlled environments. However, real const
Externí odkaz:
http://arxiv.org/abs/2004.12042
Autor:
Khosravi, Habibeh1 (AUTHOR), Rashidi, Abbas1 (AUTHOR) rashidi@umz.ac.ir, Shourkaei, Meysam Akbarian1 (AUTHOR)
Publikováno v:
Environment, Development & Sustainability. Mar2024, Vol. 26 Issue 3, p5843-5867. 25p.
As a mature technology, Ground Penetration Radar (GPR) is now widely employed in detecting rebar and other embedded elements in concrete structures. Manually recognizing rebar from GPR data is a time-consuming and error-prone procedure. Although ther
Externí odkaz:
http://arxiv.org/abs/1907.09997