[HTML][HTML] Distributed Bayesian Inference for Large-Scale IoT Systems
In this work, we present a Distributed Bayesian Inference Classifier for Large-Scale Systems,
where we assess its performance and scalability on distributed environments such as …
where we assess its performance and scalability on distributed environments such as …
Trust-region based stochastic variational inference for distributed and asynchronous networks
Stochastic variational inference is an efficient Bayesian inference technology for massive
datasets, which approximates posteriors by using noisy gradient estimates. Traditional …
datasets, which approximates posteriors by using noisy gradient estimates. Traditional …
Bayesian‐MLE signal detection for multi‐antenna ambient backscatter communication
F Jing, H Zhang, M Gao, B Xue - IET Communications, 2022 - Wiley Online Library
Multi‐antenna signal detection is one of the most critical and challenging issues for ambient
backscatter communication (AmBC) systems. This paper proposes an efficient multi …
backscatter communication (AmBC) systems. This paper proposes an efficient multi …
Distributional Difference-Based Dynamic Adaptation for Bearing Performance Degradation Assessment
X Li, F Xiao, Z Ran, Z Huang, Y Zhang… - 2023 Global Reliability …, 2023 - ieeexplore.ieee.org
Bearings are critical components in rotating machinery, where real-time monitoring of its
health is essential to improve machine safety and productivity. However, the degradation …
health is essential to improve machine safety and productivity. However, the degradation …