IEEE

Closed-Loop Bayesian Generative Adversarial Network for Probabilistic Acoustic Impedance Inversion

Abstract: The inherent nonuniqueness problem challenges acoustic impedance inversion, and thus it is meaningful to explore the possible solutions via advanced strategies, e.g., incorporating ...
IEEE

Control Theory and Bayesian Networks for Black Spots Study

Abstract: Traffic accidents are recurring ordinary disruptive events in an urban road network. To measure the performance and recovery of an urban road network, it is necessary to identify and predict ...
IEEE

A Bayesian Network Inference Approach for Dynamic Risk Assessment Using Multisource-Based Information Fusion in an Interval Type-2 Fuzzy Set Environment

Abstract: The Bayesian network (BN) method has been identified as a research hotspot in dynamic risk assessment (DRA) for systems. The traditional BN inference process relies on crisp probabilities; ...
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 ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Ars Technica

Why has Microsoft been routing example.com traffic to a company in Japan?

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...
IEEE

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes

Abstract: In this article, a dynamic Bayesian network-based systematic monitoring framework is proposed for plant-wide processes, which provides a systematical modeling scheme in both basic and global ...
IEEE

LLM and Bayesian Network Integrated Simulation Framework for Electric Vehicle User Charging Behaviorals

Abstract: Electric vehicle (EV) users’ behaviors are influenced by users’ willingness, which is not directly observable. Emerging large language models (LLMs) have advantages in handling this problem.
IEEE

Real-Time Bayesian Neural Networks for 6G Cooperative Positioning and Tracking

Abstract: In the evolving landscape of 5G new radio and related 6G evolution, achieving centimeter-level dynamic positioning is pivotal, especially in cooperative intelligent transportation system ...
IEEE

BTCDNet: Bayesian Tile Attention Network for Hyperspectral Image Change Detection

Abstract: Hyperspectral images (HSIs) provide detailed spectral information, which are effective for change detection (CD). Prior knowledge has been proven to improve the robustness of models in HSI ...