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 ...

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 ...

Numerous algorithms have been proposed to infer the underlying structure of the social networks via observed information propagation. The previously proposed algorithms concentrate on inferring ...

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 ...

Abstract: Recent advancements in Low Earth Orbit (LEO) satellites are facilitating the provision of Deep Neural Networks (DNNs)-inherent services to achieve ubiquitous coverage via satellite computing ...

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 ...

This text is 100% human-written—but many of you may immediately dismiss this as AI-generated. Here's the truth: I wrote this with many patterns and hallmarks that regular users of ChatGPT will ...

What Inference Bias Is, and Why It Matters AI bias occurs when an algorithm produces systematically prejudiced outcomes. The bias does not have to be intentional. It does not have to be visible. It ...