Joaquín B. Ordieres Meré
According to our database1, Joaquín B. Ordieres Meré authored at least 40 papers between 2004 and 2020.
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Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber-Physical Complex Networks.
Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology.
Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces.
Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning.
Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0.
Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People.
Indicator Proposal for Measuring Regional Political Support for the Electoral Process on Twitter: The Case of Spain's 2015 and 2016 General Elections.
IEEE Access, 2019
Predicting Students' Performance in a Virtual Experience for Project Management Learning.
Proceedings of the 11th International Conference on Computer Supported Education, 2019
Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0.
Proceedings of the 11th IEEE Conference on Service-Oriented Computing and Applications, 2018
Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018
Inf. Syst., 2017
Reconfiguring existing pollutant monitoring stations by increasing the value of the gathered information.
Environ. Model. Softw., 2017
Proceedings of the CSEDU 2017, 2017
Proceedings of the Complex Networks & Their Applications VI, 2017
Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong.
Environ. Model. Softw., 2016
Student evaluation of a virtual experience for project management learning: An empirical study for learning improvement.
Comput. Educ., 2016
Br. J. Educ. Technol., 2016
Improving Manufacturing Performance by Standardization of Interprocess Communication.
IEEE Trans. Engineering Management, 2015
Prediction models for ozone in metropolitan area of Mexico City based on artificial intelligence techniques.
Int. J. Inf. Decis. Sci., 2015
Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
Proceedings of the CSEDU 2014, 2014
Proceedings of the Computer Supported Education - 6th International Conference, 2014
J. Intelligent Manufacturing, 2013
Proceedings of Eurocon 2013, 2013
A Web-based Support System for Providing Effective Monitoring, Feedback and Evaluation in Project Management Education.
Proceedings of the CSEDU 2013, 2013
Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils.
Int. J. Data Min. Model. Manag., 2011
An improved way for evaluating competences: A different approach to project management learning.
Proceedings of EUROCON 2011, 2011
Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience.
Proceedings of the CSEDU 2011, 2011
Comparison of models created for the prediction of the mechanical properties of galvanized steel coils.
J. Intelligent Manufacturing, 2010
A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment.
Proceedings of the Computational Intelligence in Security for Information Systems 2010, 2010
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Development and comparative analysis of tropospheric ozone prediction models using linear and artificial intelligence-based models in Mexicali, Baja California (Mexico) and Calexico, California (US).
Environ. Model. Softw., 2008
Neural network prediction model for fine particulate matter (PM<sup>2.5</sup>) on the US-Mexico border in El Paso (Texas) and Ciudad Juárez (Chihuahua).
Environ. Model. Softw., 2005
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The <i>PAELLA</i> Algorithm.
Data Min. Knowl. Discov., 2004