Zobrazeno 1 - 10
of 11 821
pro vyhledávání: '"IMPORTANCE SAMPLING"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7297-7310 (2024)
Abstract Policy Gradient (PG) method is one of the most popular algorithms in Reinforcement Learning (RL). However, distributed adaptive variants of PG are rarely studied in multi-agent. For this reason, this paper proposes a distributed adaptive pol
Externí odkaz:
https://doaj.org/article/6396ec8713a04f02822c1906e004b340
Autor:
Mizuho Nishio, Eiji Ota
Publikováno v:
PeerJ Computer Science, Vol 10, p e2380 (2024)
Purpose This study aimed to enhance the multidimensional nominal response model (MDNRM) for multiclass classification in diagnostic radiology. Materials and Methods This retrospective study involved the extension of the conventional nominal response
Externí odkaz:
https://doaj.org/article/cd36b7b7a6b5468298a43cf7807ba859
Publikováno v:
Journal of Isotopes, Vol 37, Iss 3, Pp 260-266 (2024)
Nuclear resonance fluorescence (NRF) is an emerging nondestructive active inspection technology. Specific isotopes can be identified by analyzing the characteristic energy recorded in the gamma spectrum. This technology plays an important role in the
Externí odkaz:
https://doaj.org/article/073063a6e124436a89bd3de7e6ec6714
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 527-556 (2024)
The COVID-19 pandemic has significantly impacted global health, social, and economic situations since its emergence in December 2019. The primary focus of this study is to propose a distinct vaccination policy and assess its impact on controlling COV
Externí odkaz:
https://doaj.org/article/de8bfbdea0f84904afb83e2d1b8938db
Publikováno v:
Stats, Vol 7, Iss 2, Pp 434-444 (2024)
Estimating parameters for multiple datasets can be time consuming, especially when the number of datasets is large. One solution is to sample from multiple datasets simultaneously using Bayesian methods such as adaptive multiple importance sampling (
Externí odkaz:
https://doaj.org/article/fe0d1bbf98a9473b87ad998fd457ba32
Publikováno v:
In Structural Safety January 2025 112
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss 3, Pp 528-538 (2024)
The research and development progress of NECP-MCX, a deep penetrating cross-scale radiation field analysis software independently developed by Xi'an Jiaotong University, is summarized. New methods and functions have been developed for new application
Externí odkaz:
https://doaj.org/article/76903c687f8a4b6980bf43ab168c3964
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss 3, Pp 630-637 (2024)
According to different objectives, shielding calculation problems can be divided into regional problem, source-detector problem, and global problem. To solve the deep penetration problem of the three kinds of problems, the MCShield research team syst
Externí odkaz:
https://doaj.org/article/9148be1dbfa24b46bd8ddb2f42dcbc71
Autor:
DI Haoyuan, LI Hongshuang
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 1, Pp 79-88 (2024)
The aero-engine turbine rear casing is a key component for aero-engine safety，but it has complex working conditions and multiple uncertain factors. In order to explore the influence of the uncertainty of input random variables on the failure probab
Externí odkaz:
https://doaj.org/article/96dee0eeff13405295080f1384739e70
Autor:
Éva Kenyeres, János Abonyi
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9652 (2024)
This study presents a model-based parameter estimation method for integrating and validating uncertainty in expert knowledge and simulation models. The parameters of the models of complex systems are often unknown due to a lack of measurement data. T
Externí odkaz:
https://doaj.org/article/daf48254684642b8903cb0219b050331