As a part of the EXPOLIS study, a stochastic exposure-modeling framework was developed. The framework is useful to compare exposure distributions of different (sub-) populations or different scenarios ...
crime_modeling/ ├── agents/ # Agent behavior models │ ├── criminal_agent.py # Criminal decision-making and behavior │ ├── victim_agent.py # Victim vulnerability and protection │ └── ...
📧 yangpeihao@stu.hit.edu.cn Tiantian Wang, Harbin Institute of Technology 📧 wangtiantian@hit.edu.cn Ming Yang, Harbin Institute of Technology 📧 23S136282@stu.hit.edu.cn Xiaohong Su, Harbin ...
To overcome the reliance on manual parameter adjustment and the difficulty in uncertainty quantification of traditional Multiple-Point Geostatistics (MPS) methods, and to address the general lack of ...
Among the plethora of projections concerning the Internet of Things (IoT), the pervasive thread in all of them is the sheer size of the expected associated market a few years hence. While the path to ...
R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...
Abstract: The principle of semi-implicit delayed decoupling is utilized to conduct electromagnetic transient simulation modeling research on modular multilevel converter (MMC). This paper first ...
Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state department of transportation (DOT) administrators and engineers. Often, highway ...
The tools available to help improve fabrication are unprecedented in their capabilities and comprehensiveness. Simulation and modeling tools are robust enough to improve production, ensure quality ...
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