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Ai-Sheng Wang, Zhang-Cai Yin and Shen Ying
The possibility of moving objects accessing different types of points of interest (POIs) at specific times is not always the same, so quantitative time geography research needs to consider the actual POI semantic information, including POI attributes and...
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Suhee Jo, Ryeonggu Kwon and Gihwon Kwon
GitHub serves as a platform for collaborative software development, where contributors engage, evolve projects, and shape the community. This study presents a novel approach to analyzing GitHub activity that departs from traditional methods. Using Discre...
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Oscar D. Hurtado, Albert R. Ortiz, Daniel Gomez and Rodrigo Astroza
Simplifications and theoretical assumptions are usually incorporated into the numerical modeling of structures. However, these assumptions may reduce the accuracy of the simulation results. This problem has led to the development of model-updating techni...
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Alaa Ghazi, Yasir Hashim
Pág. 271 - 278
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Saroj Maharjan, Antoine Poujol, Christophe Martin, Gabriele Ameri, David Baumont, Kiana Hashemi, Yacine Benjelloun and Hussein Shible
Nepal is one of the most seismically active regions in the world, as highlighted by the recent devastating 2015, Mw~7.8 Gorkha earthquake, and a robust assessment of seismic hazard is paramount for the design of earthquake-resistant structures. In this s...
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Luca Scrucca
Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not...
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Ashraf Jaradat, Fadi Safieddine, Aziz Deraman, Omar Ali, Ahmad Al-Ahmad and Yehia Ibrahim Alzoubi
Real-world data obtained from integrating heterogeneous data sources are often multi-valued, uncertain, imprecise, error-prone, outdated, and have different degrees of accuracy and correctness. It is critical to resolve data uncertainty and conflicts to ...
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Andreas Efstratiadis, Panagiotis Dimas, George Pouliasis, Ioannis Tsoukalas, Panagiotis Kossieris, Vasilis Bellos, Georgia-Konstantina Sakki, Christos Makropoulos and Spyridon Michas
We propose a novel probabilistic approach to flood hazard assessment, aiming to address the major shortcomings of everyday deterministic engineering practices in a computationally efficient manner. In this context, the principal sources of uncertainty ar...
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Ryo Masuda and Ryo Inoue
Spatial cluster detection is one of the focus areas of spatial analysis, whose objective is the identification of clusters from spatial distributions of point events aggregated in districts with small areas. Choi et al. (2018) formulated cluster detectio...
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