IEEE

Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model of Partially Observed Stochastic Reaction Network

Abstract: To support mechanism online learning and facilitate digital twin development for biomanufacturing processes, this paper develops an efficient Bayesian inference approach for partially ...
Frontiers

Efficacy of MAO-B and COMT inhibitors on quality of life in patients with Parkinson’s disease: a Bayesian network meta-analysis

Background and Objectives: Quality of life (QoL) is a critical outcome in the management of Parkinson’s disease (PD), and is often affected more by non-motor symptoms (NMS) than motor features. While ...
IEEE

Transformer and Graph Neural Network-Based Federated Learning for Cellular Traffic Prediction With Sustainability Analysis

Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...