A novel approach to integrating case-based reasoning with model-based diagnosis is presented. The main idea is to use the model of the device and the results of diagnostic tests t...
— In today’s service market the provisioning of high quality services has become a critical issue for providers as the business success of their customers is often based on the...
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
Designing a distributed fault tolerance algorithm requires careful analysis of both fault models and diagnosis strategies. A system will fail if there are too many active faults, ...