|
|
|
|
|
Hongya Qu, An Chang, Tiantian Li and Zhongguo Guan
Deriving critical parametric information from recorded signals for system identification is critical in structural health monitoring and damage detection, while the time-varying nature of most signals often requires significant processing efforts due to ...
ver más
|
|
|
|
|
|
|
|
|
Ayla Ocak, Gebrail Bekdas, Sinan Melih Nigdeli, Sanghun Kim and Zong Woo Geem
This study focuses on tuned liquid dampers (TLDs) using liquids with different characteristics optimized with the adaptive harmony search algorithm (AHS). TLDs utilize the characteristic features of the liquid to absorb the dynamic forces entering the st...
ver más
|
|
|
|
|
|
|
|
|
Haibo Chen and Daolei Liang
In various applications of blockchain, how to index spatio-temporal data more efficiently has become a subject of continuous attention. The existing spatio-temporal data query in the blockchain is realized by adding additional external storage or fixed s...
ver más
|
|
|
|
|
|
|
|
|
Zengzheng Wang, Yangyang Zhao and Fuhao Zhang
Geographically weighted regression (GWR) is an effective method for detecting spatial non-stationary features based on the hypothesis of proximity correlation. In reality, especially in the social and economic fields, research objects not only have spati...
ver más
|
|
|
|
|
|
|
|
|
Faisal Baig, Mohsen Sherif and Muhammad Abrar Faiz
Mountainous watersheds have always been a challenge for modelers due to large variability and insufficient ground observations, which cause forcing data, model structure, and parameter uncertainty. This study employed Differential Evolution Adaptive Metr...
ver más
|
|
|
|