The complexity and dynamics of current military operations demand reliable and up-to-date intelligence and in particular near-real-time threat assessment. This paper explores the potential of operational analysis techniques in supporting military personnel in processing information from different sources, in order to constantly carry out near-real time threat assessments of current situations and future developments. It introduces a near-real time threat assessment approach that integrates Bayesian Belief Networks and spatio-temporal modelling. This approach has been implemented in a near-real-time intelligence demonstrator to support threat assessment during operations
The current transformation processes aim at robustly networked forces in order to enable them to exe...
The current transformation processes aim at robustly networked forces in order to enable them to exe...
Cybersecurity threats have surged in the past decades. Experts agree that conventional security meas...
The complexity and dynamics of current military operations demand reliable and up-to-date intelligen...
Information overflow is a significant and as yet unresolved problem for military, homeland security ...
Bayesian network, decision support, information fusion In this paper we consider a typical military ...
This paper presents a comprehensive model for representing and reasoning on situations to support de...
Semiautomatic approaches are developed for wide area situation assessment in near-real-time. The two...
AbstractThreat evaluation is an uncertainty process to protect the assets against the various enemy ...
In the tasks facing the armed forces today there is a need for new and improved intelligence analysi...
In this paper, we discuss how Bayesian networks can be used to develop automated situation-assessmen...
This report demonstrates the application of Bayesian networks for modelling and reasoning about unce...
Higher levels of the JDL model call for prediction of future development and awareness of the develo...
There has been a great deal of work done in (sensor) data fusion for situation awareness scenarios, ...
One of the most felt issues in the defence domain is that of having huge quantities of data stored i...
The current transformation processes aim at robustly networked forces in order to enable them to exe...
The current transformation processes aim at robustly networked forces in order to enable them to exe...
Cybersecurity threats have surged in the past decades. Experts agree that conventional security meas...
The complexity and dynamics of current military operations demand reliable and up-to-date intelligen...
Information overflow is a significant and as yet unresolved problem for military, homeland security ...
Bayesian network, decision support, information fusion In this paper we consider a typical military ...
This paper presents a comprehensive model for representing and reasoning on situations to support de...
Semiautomatic approaches are developed for wide area situation assessment in near-real-time. The two...
AbstractThreat evaluation is an uncertainty process to protect the assets against the various enemy ...
In the tasks facing the armed forces today there is a need for new and improved intelligence analysi...
In this paper, we discuss how Bayesian networks can be used to develop automated situation-assessmen...
This report demonstrates the application of Bayesian networks for modelling and reasoning about unce...
Higher levels of the JDL model call for prediction of future development and awareness of the develo...
There has been a great deal of work done in (sensor) data fusion for situation awareness scenarios, ...
One of the most felt issues in the defence domain is that of having huge quantities of data stored i...
The current transformation processes aim at robustly networked forces in order to enable them to exe...
The current transformation processes aim at robustly networked forces in order to enable them to exe...
Cybersecurity threats have surged in the past decades. Experts agree that conventional security meas...