A Bayesian network is a directed acyclic graph (DAG) or a probabilistic graphical model used by statisticians. Vertices of this model represent different variables. Any connections between variables ...
You are currently on the main branch which tracks under-development progress towards the next release. The current release is version 2.53.0 and corresponds to the 24 ...
The widespread integration of Internet of Things (IoT) technology in the military domain has brought significant attention to the security concerns surrounding the Internet of Battlefield Things (IoBT ...
Haplotype inference is an indispensable technique in medical science, especially in genome-wide association studies. Although the conventional method of inference using the expectation-maximization ...
Abstract: Bayesian networks (BNs) have proven to be an effective model for representing and inferring uncertain knowledge in the field of equipment fault diagnosis. However, as the scale of BNs ...
Abstract: Radar usage inference is a crucial aspect of radar emitter information acquisition and represents an essential component of electronic warfare. However, in the modern electromagnetic ...
There are already tens of thousands of pieces of large debris in orbit, some of which pose a threat to functional satellites. Various agencies and organizations have been developing novel solutions to ...
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