All Stories

  1. Embedded deep reservoir computing for modelling complex industrial systems
  2. Adquisición de tráfico de red en demostrador de subestación eléctrica
  3. Modelado de sistemas industriales no lineales mediante SINDyc para la construcción de gemelos digitales
  4. Adaptive model based on ESN for anomaly detection in industrial systems
  5. ESN Architectures for Industrial Process Modelling to Develop Digital Twins
  6. ESN with Delayed Inputs to Model Industrial Processes
  7. Conditioned fully convolutional denoising autoencoder for multi-target NILM
  8. An Approach to Develop Digital Twins in Industry
  9. Advanced tools for electricity consumption monitoring
  10. Deep Echo State Networks for Modelling of Industrial Systems
  11. Machine Learning Modeling in Industrial Processes for Visual Analysis
  12. Adaptive Model for Industrial Systems Using Echo State Networks
  13. Hierarchical Prediction in Incomplete Submetering Systems Using a CNN
  14. Virtual Flow Meter for an Industrial Process
  15. Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network
  16. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings
  17. Environment for Education on Industry 4.0
  18. Estimating cooling production and monitoring efficiency in chillers using a soft sensor
  19. Feature Extraction from Building Submetering Networks Using Deep Learning
  20. Evaluation of feature learning for anomaly detection in network traffic
  21. Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees
  22. Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network
  23. A Deep Learning Approach for Fusing Sensor Data from Screw Compressors
  24. A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study
  25. Comparison of Network Intrusion Detection Performance Using Feature Representation
  26. Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers
  27. Data-driven tool for monitoring of students performance
  28. Experimentation environment for industrial control systems cybersecurity: On-site and remote training
  29. Interactive visualization for NILM in large buildings using non-negative matrix factorization
  30. Comparative analysis of the security of configuration protocols for industrial control devices
  31. Cybersecurity training in control systems using real equipment * *This work was supported by the Spanish Secretary of State for Research, Development and Innovation (Ministry of Economy and Competitivity), under grant UNLE13-3E-1578 of the National Pro...
  32. Using Low-Cost Open Source Hardware To Control Puma560 Motors
  33. Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders
  34. Energy analytics in public buildings using interactive histograms
  35. Random extreme learning machines to predict electric load in buildings
  36. Communication with resource-constrained devices through MQTT for control education
  37. Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell
  38. Dimensionality reduction techniques to analyze heating systems in buildings
  39. A LOW-COST OPEN SOURCE HARDWARE IN CONTROL EDUCATION. CASE STUDY: ARDUINO-FEEDBACK MS-150
  40. Remote Laboratory for Cybersecurity of Industrial Control Systems
  41. Visual analysis of a cold rolling process using a dimensionality reduction approach
  42. Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques
  43. Analysis of electricity bills using visual continuous maps
  44. Power monitoring system for university buildings: Architecture and advanced analysis tools
  45. A Virtual Laboratory of D.C. Motors for Learning Control Theory
  46. Machine learning methods to forecast temperature in buildings
  47. Development of a low-cost, portable hardware platform for teaching control and systems theory
  48. A new device laboratory: Experimental validation
  49. Analysis of Heating Systems in Buildings Using Self-Organizing Maps
  50. TIME SERIES FOR FAULT DETECTION IN AN INDUSTRIAL PILOT PLANT
  51. MONITORING POWER CONSUMPTION USING A GENERALIZED VARIANT OF SELF-ORGANIZING MAP (SOM)
  52. DIMENSIONALITY REDUCTION FOR DAMAGE DETECTION IN ENGINEERING STRUCTURES
  53. Visualization maps based on SOM to analyze MIMO systems
  54. Monitoring industrial processes with SOM-based dissimilarity maps
  55. Visual Analysis of a Cold Rolling Process Using Data-Based Modeling
  56. Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings
  57. Improving user interaction in remote laboratories through HTML5/AJAX
  58. Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers
  59. Time-Frequency Analysis of Hot Rolling Using Manifold Learning
  60. Remote Laboratory for Learning of AC Drive Control
  61. Manifold Learning for Visualization of Vibrational States of a Rotating Machine
  62. EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization
  63. Control Maps: Visualization of Local Robustness Properties for Control System Design*
  64. Comparative Analysis of Power Consumption in University Buildings Using envSOM
  65. Analysis of electric power consumption using Self-Organizing Maps.
  66. Use of e-learning functionalities: Results of a survey along Spain
  67. Practice and research in engineering education: Activities of the CESEI Technical Committee
  68. Engineering education research in Spain: A review through the education awards of CESEI — IEEE
  69. Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes
  70. Visualization of Changes in Process Dynamics Using Self-Organizing Maps
  71. Entornos de experimentación para la Enseñanza de Conceptos Básicos de Modelado y Control
  72. Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes
  73. Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps
  74. A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes
  75. Case-Based Reasoning and System Identification for Control Engineering Learning
  76. Modeling the best practices towards the adaptation to the European credit transfer system in technical degrees within the IEEE ES chapter
  77. Internet-based remote supervision of industrial processes using self-organizing maps
  78. Work in Progress: Modeling the best practices of adaptation to European credit transfer system in technical teachings as improvement to the mobility of students
  79. Supervision of Industrial Processes using Self Organizing Maps
  80. Active learning in control education