51 citations · 189 across the 10 of their papers we have counts for
10 papers
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering
Patricia Arroba, José L. Risco-Martín, Marina Zapater +2
This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an…
Thermal-Aware Floorplanner for 3D IC, including TSVs, Liquid Microchannels and Thermal Domains Optimization
David Cuesta, José L. Risco-Martín, José L. Ayala +1
3D stacked technology has emerged as an effective mechanism to overcome physical limits and communication delays found in 2D integration. However, 3D technology also presents sever…
Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
Josué Pagán, José L. Risco-Martín, José M. Moya +1
Prediction of symptomatic crises in chronic diseases allows to take decisions before the symptoms occur, such as the intake of drugs to avoid the symptoms or the activation of medi…
Green Adaptation of Real-Time Web Services for Industrial CPS within a Cloud Environment
Teresa Higuera, José L. Risco-Martín, Patricia Arroba +1
Managing energy efficiency under timing constraints is an interesting and big challenge. This work proposes an accurate power model in data centers for time-constrained servers in…
Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers
Patricia Arroba, José L. Risco-Martín, José M. Moya +1
Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, t…
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition
J. Pagan, R. Fallahzadeh, M. Pedram +4
Activity recognition, as an important component of behavioral monitoring and intervention, has attracted enormous attention, especially in Mobile Cloud Computing (MCC) and Remote H…
Predictive and diagnosis models of stroke from hemodynamic signal monitoring
Luis García-Terriza, José L. Risco-Martín, Gemma Reig Roselló +1
This work presents a novel and promising approach to the clinical management of acute stroke. Using machine learning techniques, our research has succeeded in developing accurate d…
Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA
Ignacio Arnaldo, Alfredo Cuesta-Infante, J. Manuel Colmenar +2
The increasing transistor scale integration poses, among others, the thermal-aware floorplanning problem; consisting of how to place the hardware components in order to reduce over…
Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios
Kevin Henares, José L. Risco-Martín, José L Ayala +1
In the last decade, the Internet of Things paradigm has caused an exponential increase in the number of connected devices. This trend brings the Internet closer to everyday activit…
Runtime data center temperature prediction using Grammatical Evolution techniques
Marina Zapater, José L. Risco-Martín, Patricia Arroba +3
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique…