Review on semantic modeling and simulation of cybersecurity and interoperability on the internet of underwater things
K Kotis, S Stavrinos, C Kalloniatis - Future Internet, 2022 - mdpi.com
As maritime and military missions become more and more complex and multifactorial over
the years, there has been a high interest in the research and development of (autonomous) …
the years, there has been a high interest in the research and development of (autonomous) …
Dynamic Bayesian network-based situational awareness and course of action decision-making support model
A Kim, D Lee - Expert Systems with Applications, 2024 - Elsevier
In this paper, we developed a dynamic Bayesian network (DBN) model to quantify
uncertainties on battlefields. The model consists of the enemy's intention prediction model …
uncertainties on battlefields. The model consists of the enemy's intention prediction model …
Unmanned Swarm System Situation Awareness Based on Dynamic Bayesian Network
A Liu, L Geng, Y An, H Wang… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In a multidimensional and complex battlefield environment, unmanned swarm system can
determine the threat level of surrounding targets through situation awareness to assist in …
determine the threat level of surrounding targets through situation awareness to assist in …
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations
This paper demonstrates our vision for knowledge graphs that assist machines to reason
about the cause of signals observed by sensors. We show how the approach allows for …
about the cause of signals observed by sensors. We show how the approach allows for …
Signal Knowledge Graph
This paper presents an knowledge graph to assist in reasoning over signals for intelligence
purposes. We highlight limitations of existing knowledge graphs and reasoning systems for …
purposes. We highlight limitations of existing knowledge graphs and reasoning systems for …