Dynamic Bayesian network modeling, learning, and inference: A survey

P Shiguihara, ADA Lopes, D Mauricio - IEEE Access, 2021 - ieeexplore.ieee.org
Since the introduction of Dynamic Bayesian Networks (DBNs), their efficiency and
effectiveness have increased through the development of three significant aspects:(i) …

A cyber warfare perspective on risks related to health IoT devices and contact tracing

A Bobbio, L Campanile, M Gribaudo, M Iacono… - Neural Computing and …, 2023 - Springer
The wide use of IT resources to assess and manage the recent COVID-19 pandemic allows
to increase the effectiveness of the countermeasures and the pervasiveness of monitoring …

Operation network modeling with degenerate causal strengths for missile defense systems

J Sun, B Ge, J Li, K Yang - IEEE Systems Journal, 2016 - ieeexplore.ieee.org
A hybrid operation network model is proposed to describe and evaluate a missile defense
system. More specifically, the network model provides a formal modeling approach based …

BRBcast: A new approach to belief rule-based system parameter learning via extended causal strength logic

JB Sun, JX Huang, LL Chang, J Jiang, YJ Tan - Information Sciences, 2018 - Elsevier
The belief rule-based (BRB) system has demonstrated advantages in complex system
modeling and evaluation, with strong nonlinear relationship approximation capabilities. BRB …

Bayesian networks for mathematical models: techniques for automatic construction and efficient inference

CG Enright, MG Madden, N Madden - International Journal of Approximate …, 2013 - Elsevier
Expert knowledge in the form of mathematical models can be considered sufficient statistics
of all prior experimentation in the domain, embodying generic or abstract knowledge of it …

Optimized Selection Method of Air Combat Course of Action under Stochastic Uncertainty

Y Zhong, J Zhang, P Sun, L Wan, K Wang - Journal of Systems Science …, 2024 - Springer
Aiming at the design problem of aviation swarm combat course of action (COA), considering
the influence of stochastic parameters in the causal relationship model and optimization …

用影响网分析复杂系统关键事件

杨翠蓉, 王明哲, 廖晶静 - 应用科学学报, 2010 - jas.shu.edu.cn
为分析复杂系统关键事件, 将系统事件序列图转换为影响网图, 通过着色Petri 网进行建模和仿真,
采用影响网分析系统事件的敏感性并搜索关键事件集合. 统计着色Petri 网模型的仿真输出结果 …

A task-resource allocation method based on effectiveness

K Cheng, H Zhang, R Zhang - Knowledge-Based Systems, 2013 - Elsevier
This study presents a task-resource allocation model based on effectiveness and solving
algorithm. The proposed model allows analysts to obtain tradeoffs between mission …

From dynamic influence nets to dynamic Bayesian networks: A transformation algorithm

S Haider - International Journal of Intelligent Systems, 2009 - Wiley Online Library
This paper presents an algorithm to transform a dynamic influence net (DIN) into a dynamic
Bayesian network (DBN). The transformation aims to bring the best of both probabilistic …

[引用][C] 随机时间影响网络建模方法--扩展时间影响网络的确定性时间延迟

朱延广, 朱一凡, 雷永林, 曹星平 - 系统工程理论与实践, 2012