most citedToward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition

51 citations · 116 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR202417 cited

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…

q-bio.QM202415 cited

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…

cs.AR202420 cited

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…

cs.NI202351 cited

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…

eess.SP20235 cited

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…

cs.AR20234 cited

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…