|
|
|
|
|
Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban...
ver más
|
|
|
|
|
|
|
|
|
Xiaotian Luo, Cong Yin, Yueqiang Sun, Weihua Bai, Wei Li and Hongqing Song
Deep soil moisture data have wide applications in fields such as engineering construction and agricultural production. Therefore, achieving the real-time monitoring of deep soil moisture is of significant importance. Current soil monitoring methods face ...
ver más
|
|
|
|
|
|
|
|
|
Yee Sye Lee, Ali Rashidi, Amin Talei and Daniel Kong
In recent years, mixed reality (MR) technology has gained popularity in construction management due to its real-time visualisation capability to facilitate on-site decision-making tasks. The semantic segmentation of building components provides an attrac...
ver más
|
|
|
|
|
|
|
|
|
Adwitiya Mukhopadhyay, Aryadevi Remanidevi Devidas, Venkat P. Rangan and Maneesha Vinodini Ramesh
Addressing the inadequacy of medical facilities in rural communities and the high number of patients affected by ailments that need to be treated immediately is of prime importance for all countries. The various recent healthcare emergency situations bri...
ver más
|
|
|
|
|
|
|
|
|
Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
ver más
|
|
|
|