F. Castrillo

发表

CardioGrid: a framework for the analysis of cardiological signals in Grid computing

Manuel Rubio del Solar, Francisco Prieto Castrillo, Raúl Ramos-Pollán, 2009, 2009 Latin American Network Operations and Management Symposium.

A Stochastic Process Approach to Model Distributed Computing on Complex Networks

F. Castrillo, María Botón-Fernández, A. Astillero, 2015, Journal of Grid Computing.

A Multi-Scale Entropy Approach to Study Collapse and Anomalous Diffusion in Shared Mobility Systems

R. M. Benito, J. Borondo, F. Castrillo, 2022, Entropy.

Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements

Paulo B. Lourenço, José C. Matos, Hélder S. Sousa, 2018, Expert Syst. Appl..

Multiobjective Optimization Comparison - MOSWO vs MOGSA - for Solving the Job Scheduling Problem in Grid Environments

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Arsuaga-Ríos, 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

Intelligent self‐adaptive resources selection for grid applications

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Botón-Fernández, 2015, Concurr. Comput. Pract. Exp..

Self-adaptivity for grid applications. An Efficient Resources Selection model based on evolutionary computation algorithms

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Botón-Fernández, 2014, Parallel Comput..

The Artificial Bee Colony Algorithm Applied to a Self-adaptive Grid Resources Selection Model

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Botón-Fernández, 2013, HAIS.

Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home

Zita A. Vale, Francisco Prieto Castrillo, Tiago Pinto, 2017, PAAMS.

Nature-Inspired Algorithms Applied to an Efficient and Self-adaptive Resources Selection Model for Grid Applications

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Botón-Fernández, 2012, TPNC.

Distributed Computing on Complex Networks pdf

Francisco Prieto Castrillo, María Botón-Fernández, Antonio Astillero, 2013, ArXiv.

Multi-Objective Artificial Bee Colony for scheduling in Grid environments

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Arsuaga-Ríos, 2011, 2011 IEEE Symposium on Swarm Intelligence.

The Small-World Phenomenon Applied to a Self-adaptive Resources Selection Model

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Botón-Fernández, 2013, EvoApplications.

Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Arsuaga-Ríos, 2012, EvoApplications.

Blockchain for Dynamic Nodes in a Smart City

Francisco Prieto Castrillo, Sergii Kushch, F. Castrillo, 2018, 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).

An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems

Juan M. Corchado, Javier Prieto, Francisco Prieto Castrillo, 2018, Complex..

Mobile Communication Signatures of Unemployment pdf

Alex Pentland, Francisco Prieto Castrillo, Abdullah Almaatouq, 2016, SocInfo.

Meta-schedulers for grid computing based on multi-objective swarm algorithms

Miguel A. Vega-Rodríguez, Francisco Prieto Castrillo, María Arsuaga-Ríos, 2013, Appl. Soft Comput..

Distributed Sequential Consensus in Networks: Analysis of Partially Connected Blockchains with Uncertainty

Juan M. Corchado, Francisco Prieto Castrillo, Sergii Kushch, 2017, Complex..

Organization-Based Multi-agent System of Local Electricity Market: Bottom-Up Approach

Juan M. Corchado, Francisco Prieto Castrillo, Tiago Pinto, 2017, PAAMS.

A review of the applications of the Block-chain technology in smart devices and dis-tributed renewable energy grids

Francisco Prieto Castrillo, Sergii Kushch, F. Castrillo, 2017, DCAI 2017.

Understanding Imbalance Mechanisms in Shared Mobility Systems

R. M. Benito, J. Borondo, F. Castrillo, 2021, COMPLEX NETWORKS.

Processing Fluorescence Spectra for Pollutants Detection Systems in Inland Waters

Francisco Prieto Castrillo, Vicente González Posadas, Neftalí Núñez, 2020, Sensors.

Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements

P. Lourenço, J. Matos, J. Branco, 2018, Expert Syst. Appl..