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Yaxuan Wang, Zhixin Zeng, Qiushan Li and Yingrui Deng
Urban-safety perception is crucial for urban planning and pedestrian street preference studies. With the development of deep learning and the availability of high-resolution street images, the use of artificial intelligence methods to deal with urban-saf...
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Srijeet Halder, Kereshmeh Afsari, John Serdakowski, Stephen DeVito, Mahnaz Ensafi and Walid Thabet
Construction progress monitoring involves a set of inspection tasks with repetitive in-person observations on the site. The current manual inspection process in construction is time-consuming, inefficient and inconsistent mainly due to human limitations ...
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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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Milad Baghalzadeh Shishehgarkhaneh, Mahdi Azizi, Mahla Basiri and Robert C. Moehler
Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in projec...
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Attila Csaba Marosi, Márk Emodi, Ákos Hajnal, Róbert Lovas, Tamás Kiss, Valerie Poser, Jibinraj Antony, Simon Bergweiler, Hamed Hamzeh, James Deslauriers and József Kovács
The use of mature, reliable, and validated solutions can save significant time and cost when introducing new technologies to companies. Reference Architectures represent such best-practice techniques and have the potential to increase the speed and relia...
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