|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Lijun Ma, Meng Sun and Yunlong Zhang
In order to facilitate waste glass recycling and enable the monitoring of concrete structures, this study prepares a new type of self-sensing engineered cementitious composite (ECC) via the use of glass sand instead of silica sand. The health monitoring ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kultigin Demirlioglu and Emrah Erduran
Bridges serve as vital engineering structures crafted to facilitate secure and effective transportation networks. Throughout their life-cycle, they withstand various factors, including diverse environmental conditions, natural hazards, and substantial lo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emre Ercan, Muhammed Serdar Avci, Mahmut Pekedis and Çaglayan Hizal
Structural health monitoring (SHM) plays a crucial role in extending the service life of engineering structures. Effective monitoring not only provides insights into the health and functionality of a structure but also serves as an early warning system f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nuno Marques de Almeida and Adolfo Crespo
The frequency and severity of natural or human-induced disaster events, such as floods, earthquakes, hurricanes, fires, pandemics, hazardous material spills, groundwater contamination, structural failures, explosions, etc., as well as their impacts, have...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
|
|
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying Wang, Yue Chen, Yuhan Yao and Jinping Ou
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil infrastructure, but the optimal design of an SHM sensing system, i.e., optimal sensor placement (OSP), remains a complex challenge. Based on the existing literature, th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Colm Brandon, Adam J. Doherty, Dervla Kelly, Desmond Leddin and Tiziana Margaria
Cancer misinformation is becoming an increasingly complex issue. When a person or a loved one receives a diagnosis of possible cancer, that person, family and friends will try to better inform themselves in this area of healthcare. Like most people, they...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roberto Boccagna, Maurizio Bottini, Massimo Petracca, Alessia Amelio and Guido Camata
In the last few decades, structural health monitoring has gained relevance in the context of civil engineering, and much effort has been made to automate the process of data acquisition and analysis through the use of data-driven methods. Currently, the ...
ver más
|
|
|
|
|
|