|
|
|
|
|
Haekyung Park and Dong Kun Lee
Korea experienced an unexpected drought in the southern Seoul metropolitan area from 2015 to 2017. After that, the Korean government has been drafting various policies to mitigate the effects of drought. However, these are primarily long-term drought pol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yadong Zhou, Zhenchao Teng, Linlin Chi and Xiaoyan Liu
Based on the unit life and death technology, the dynamic evolution process of soil loss is considered, and a pipe-soil nonlinear coupling model of buried pipelines passing through the collapse area is constructed. The analysis shows that after the third ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch
Local weather forecasts in the Arctic outside of settlements are challenging due to the dearth of ground-level observation stations and high computational costs. During winter, these forecasts are critical to help prepare for potentially hazardous weathe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yachuan Zhao, Can Hu, Xufeng Wang, Hui Cheng, Jianfei Xing, Yueshan Li, Long Wang, Tida Ge, Ao Du and Zaibin Wang
The absorption of microplastics (MPs; size < 5 mm) by plants has garnered increasing global attention owing to its potential implications for food safety. However, the extent to which leafy vegetables can absorb large amounts of MPs, particularly those >...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aibing Jin, Prabhat Basnet and Shakil Mahtab
In deep engineering, rockburst hazards frequently result in injuries, fatalities, and the destruction of contiguous structures. Due to the complex nature of rockbursts, predicting the severity of rockburst damage (intensity) without the aid of computer m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guochang Ye, Peshala Thibbotuwawa Gamage, Vignesh Balasubramanian, John K.-J. Li, Ersoy Subasi, Munevver Mine Subasi and Mehmet Kaya
Cardiovascular disease (CVD) is the leading cause of death. CVD symptoms may develop within a short-term after diagnostic catheterizations and lead to life-threatening situations. This study is the first to apply machine learning (ML) methods to predict ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyunsun Song and Hyunjun Choi
Various deep learning techniques have recently been developed in many fields due to the rapid advancement of technology and computing power. These techniques have been widely applied in finance for stock market prediction, portfolio optimization, risk ma...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Chen, Yaowei Li and Shanju Zhang
Rapid prediction of urban flooding is an important measure to reduce the risk of flooding and to protect people?s property. In order to meet the needs of emergency flood control, this paper constructs a rapid urban flood prediction model based on a machi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shahid Raza, Sun Baiqing, Pwint Kay-Khine and Muhammad Ali Kemal
The stock markets in developing countries are highly responsive to breaking news and events. Our research explores the impact of economic conditions, financial policies, and politics on the KSE-100 index through daily market news signals. Utilizing simpl...
ver más
|
|
|
|
|
|