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: 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 ...
Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...
This repository is a fork of an existing project where I contributed by modifying the algorithm to implement a new version of a Safe Reinforcement Learning method, following an idea from Jonas ...
Abstract: With the increasing complexity of deep neural networks (DNN) models, traditional single-device solutions struggle to meet the requirements of real-time inference tasks. Edge computing, ...
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