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Found 4 papers, 0 papers with code
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
For that purpose, this work develops a methodology to build predictive migraine models and to improve these predictions beyond the limits of the initial models.
Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand.
Predictive and diagnosis models of stroke from hemodynamic signal monitoring
The results obtained from the real-time developed models are the following: stroke diagnosis around $98\%$ precision ($97. 8\%$ Sensitivity, $99. 5\%$ Specificity), exitus prediction with $99. 8\%$ precision ($99. 8\%$ Sens., $99. 9\%$ Spec.)
Runtime data center temperature prediction using Grammatical Evolution techniques
By using Gramatical Evolution techniques, this paper presents a methodology for the generation of temperature models for data centers and the runtime prediction of CPU and inlet temperature under variable cooling setups.
