376 citations · 557 across the 13 of their papers we have counts for
3 papers · 1 filter
Ageing Analysis of Embedded SRAM on a Large-Scale Testbed Using Machine Learning
Leandro Lanzieri, Peter Kietzmann, Goerschwin Fey +2
Ageing detection and failure prediction are essential in many Internet of Things (IoT) deployments, which operate huge quantities of embedded devices unattended in the field for ye…
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning
Jan Kaiser, Chenran Xu, Annika Eichler +9
Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly ex…
A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems
Leandro Lanzieri, Gianluca Martino, Goerschwin Fey +3
Embedded digital devices are progressively deployed in dependable or safety-critical systems. These devices undergo significant hardware ageing, particularly in harsh environments.…