… from sensor data under uncertainty. Hence, the use … Belief Rule-Based Expert System (BRBES)-based
predictive model to predict the Power Usage Effectiveness (PUE) of a data center. …

… and hence, the improvement of prediction under uncertainty. To demonstrate the applicability
… , “A belief rule based expert system for datacenter PUE prediction under uncertainty,” IEEE …

… These expert systems assist medical experts to understand and evaluate clinical findings …
based expert system using a belief rule base to predict the clinical severity prediction of COVID-…

… The accuracy of PUE prediction by BRBES has been validated with realworld data and
compared … Hence, a new learning algorithm is required to predict flood under uncertainty using …

… propose an expert system by integrating a Deep Learning method with a Belief Rule Base
(known … activation weights that results in an accurate prediction of sentiment under uncertainty. …

… This prediction result, along with eight other significant risk factors associated with COVID-19
patients, is analyzed with a knowledge-driven belief rule-based expert system which forms …

… can be made when predicting WUE and PUE independently. … uncertainty ranges of the DCs’
annual average PUE and … , comparing the PUE and WUE ranges across data center cases …

… Andersson, “A belief rule based expert system to assess tuberculosis under … Pattinson,
“A belief rule based expert system for datacenter PUE prediction under uncertainty,” IEEE …

… Pattinson, “A Belief Rule Based Expert System for Datacenter PUE … , “A belief rule-based
expert system to assess suspicion of acute coronary syndrome (acs) under uncertainty,” Soft …

… infrastructure energy performance is power usage effectiveness (PUE) measured by the …
We will embrace this uncertainty into our model by randomly generating a growth factor for the …