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Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha and Rattanaporn Kasemsri
Machine learning currently holds a vital position in predicting collision severity. Identifying factors associated with heightened risks of injury and fatalities aids in enhancing road safety measures and management. Presently, Thailand faces considerabl...
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Claudio Mercurio, Laura Paola Calderón-Cucunuba, Abel Alexei Argueta-Platero, Grazia Azzara, Chiara Cappadonia, Chiara Martinello, Edoardo Rotigliano and Christian Conoscenti
In January and February 2001, El Salvador was hit by two strong earthquakes that triggered thousands of landslides, causing 1259 fatalities and extensive damage. The analysis of aerial and SPOT-4 satellite images allowed us to map 6491 coseismic landslid...
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Wanru Li, Mekuanent Muluneh Finsa, Kathryn Blackmond Laskey, Paul Houser and Rupert Douglas-Bate
Predicting groundwater levels is challenging, especially in regions of water scarcity where data availability is often limited. However, these regions have substantial water needs and require cost-effective groundwater utilization strategies. This study ...
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Kieu Anh Nguyen, Walter Chen, Bor-Shiun Lin and Uma Seeboonruang
Although machine learning has been extensively used in various fields, it has only recently been applied to soil erosion pin modeling. To improve upon previous methods of quantifying soil erosion based on erosion pin measurements, this study explored the...
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Mingxiang Cai, Mohammadreza Koopialipoor, Danial Jahed Armaghani and Binh Thai Pham
Assessing the behavior of earth dams under dynamic loads is one of the most significant problems with the design of such large structures. The purpose of this study is to provide new models for predicting dam dispersion in real earthquake conditions. In ...
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Waqas Ul Hussan, Muhammad Khurram Shahzad, Frank Seidel and Franz Nestmann
The accurate estimate of sediment load is important for management of the river ecosystem, designing of water infrastructures, and planning of reservoir operations. The direct measurement of sediment is the most credible method to estimate the sediments....
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Jamal Mamkhezri,Alok K. Bohara,Alejandro Islas Camargo
Pág. 249 - 267
We utilize a time-series semi-parametric Poisson regression approach, incorporating natural cubic splines for temperature, to study the short-term associations between PM10 and daily mortality due to cardiovascular, respiratory, and cardiorespiratory eve...
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Zhixiong Chen, Hongrui Li, Anthony Teck Chee Goh, Chongzhi Wu and Wengang Zhang
Soil liquefaction is one of the most complicated phenomena to assess in geotechnical earthquake engineering. The conventional procedures developed to determine the liquefaction potential of sandy soil deposits can be categorized into three main groups: S...
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Jared A. Cook, Ralph C. Smith, Jason M. Hite, Razvan Stefanescu and John Mattingly
Surrogate models are increasingly required for applications in which first-principles simulation models are prohibitively expensive to employ for uncertainty analysis, design, or control. They can also be used to approximate models whose discontinuous de...
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Mustafa Tevfik Kartal
Pág. 17 - 26
Capital adequacy ratio (CAR) of the Turkish Banking Sector (TBS) decreased dramatically from 30.9% in 2003 to 17.1% as of May 2019. This figure shows that although TBS has still a relatively high CAR compared to many countries, unfortunately there is a d...
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