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 ...
📧 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 ...
This repository contains theoretical notes, practical exercises, and a final project developed for the Modeling and Simulation course of the Computer Science degree at FAMAF – Universidad Nacional de ...
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, ...
This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...
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 ...
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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