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Subramanyam Shashi Kumar and Prakash Ramachandran
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT) is inevitable in a personal healthcare system. A typical personal healthcare system acquires vital parameters from human users and stores them in a cloud platform f...
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Yuqing Gao, Khalid M. Mosalam, Yueshi Chen, Wei Wang and Yiyi Chen
Auto-regressive (AR) time series (TS) models are useful for structural damage detection in vibration-based structural health monitoring (SHM). However, certain limitations, e.g., non-stationarity and subjective feature selection, have reduced its wide-sp...
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Zhe Zheng, Yuan Tian, Zhebiao Yang and Xinzheng Lu
Reliable and high-fidelity virtual ruin scenarios for collapsed buildings are essential for post-earthquake emergency search and rescue training. However, the existing research on the distribution of ruins caused by building collapse is insufficient for ...
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Syed Aizaz Ali Shah, Maximilian Stark and Gerhard Bauch
The information bottleneck method is a generic clustering framework from the field of machine learning which allows compressing an observed quantity while retaining as much of the mutual information it shares with the quantity of primary relevance as pos...
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Hesheng Tang, Xueyuan Guo, Liyu Xie and Songtao Xue
The uncertainty in parameter estimation arises from structural systems? input and output measured errors and from structural model errors. An experimental verification of the shuffled complex evolution metropolis algorithm (SCEM-UA) for identifying the o...
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