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Found 13 papers, 0 papers with code
Advanced simulation-based predictive modelling for solar irradiance sensor farms
This work introduces a novel framework named Cloud-based Analysis and Integration for Data Efficiency (CAIDE), designed for real-time monitoring, management, and forecasting of solar irradiance sensor farms.
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.
Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms
Harmful Algal and Cyanobacterial Blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal health.
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.)
Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures
The Internet of Things is transforming our society, providing new services that improve the quality of life and resource management.
Modeling glycemia in humans by means of Grammatical Evolution
Diabetes mellitus is a disease that affects to hundreds of millions of people worldwide.
Evolutionary Design of the Memory Subsystem
The memory hierarchy has a high impact on the performance and power consumption in the system.
Optimizing L1 cache for embedded systems through grammatical evolution
In this paper we propose an optimization framework based on Grammatical Evolution (GE) which is able to efficiently find the best cache configurations for a given set of benchmark applications.
A Unified Cloud-Enabled Discrete Event Parallel and Distributed Simulation Architecture
Only a few developments have been able to evolve with the current resilience of computing hardware resources deployment, largely focused on the implementation of Simulation as a Service (SaaS), albeit independently of the parallel ad-hoc methods branch.
Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems
Both metrics can be optimized selecting the best cache configuration for a target set of applications.
Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
In this scenario, Micro Data Centers (MDCs) can be used as an effective way of reducing overwhelmed Cloud Data Center infrastructures.
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.
