IEEE

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

Abstract: Multi-access Edge Computing (MEC) can be implemented together with Open Radio Access Network (O-RAN) to offer low-cost deployment and bring services closer to end-users. In this paper, the ...
IEEE

Sparse Bayesian Learning Unfolding Network for Efficient DoA Estimation in Low SNR

Abstract: Compressive sensing (CS) algorithms have demonstrated superior direction-of-arrival (DoA) estimation accuracy in the low signal-to-noise ratio (SNR) regime by exploiting inherent angular ...
Frontiers

A landslide susceptibility assessment method using SBAS-InSAR to optimize Bayesian network

Landslide susceptibility assessment is crucial to mitigate the severe impacts of landslides. Although Bayesian network (BN) has been widely used in landslide susceptibility assessment, no study has ...
Frontiers

Bayesian network model of ethno-racial disparities in cardiometabolic-based chronic disease using NHANES 1999–2018

Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...
Scientific Research Publishing

Optimizing Network Security via Ensemble Learning: A Nexus with Intrusion Detection ()

Network intrusion detection systems need to be updated due to the rise in cyber threats. In order to improve detection accuracy, this research presents a strong strategy that makes use of a stacked ...
Scientific Research Publishing

Tsagris, M. (2018) Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation. Applied Artificial Intelligence, 33, 101-123.

ABSTRACT: Context and Objectives: Stomach cancer ranks fifth in incidence and fourth in mortality worldwide. In Senegal, there were 597 new cases in 2020, with a mortality rate of almost 70%. The aim ...