In recent years, fuzzy rule-based systems have been attracting great interest in interpretable and eXplainable Artificial Intelligence as methods. These systems represent knowledge that humans can easily understand, but since they are not interpretable , they must remain simple and understandable, and the rule base must have a compactness property. This article presents an algorithm for minimizing the fuzzy rule base, leveraging rough set theory and a greedy strategy.
View Article and Find Full Text PDFThe first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.
View Article and Find Full Text PDFAim: To report the 10-year clinical and radiographic outcomes of implants placed in grafted (GBR) and non-grafted (no-GBR) sites in a Swiss specialist private practice using hydrophilic implants with a low surface roughness flange.
Methods: Fifty consecutively enrolled patients received 159 hydrophilic implants with a low surface roughness flange. A first re-evaluation was performed 1 year after delivery of restoration (T1).
The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138 fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.
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