All Stories

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