Scheduled presentations:

• Machine Learning-Based Fault Detection in Refrigeration Chambers Using Multi-Sensor Vibration Monitoring
  J. Stephanie S. Barbosa (Federal Institute of Pernambuco), *G. de Novaes Pires Leite (Federal Institute of Pernambuco), A. A.V. Ochoa (Federal Institute of Pernambuco), K. Alessandro Ferraz (Federal Institute of Pernambuco), K. Fernanda Ferreira da Cunha Queiroz (Federal Institute of Pernambuco)
• Steel Wire Rope and Conveyor Belt Monitoring Systems at Critical Industrial Facilities
  *D. Slesarev (INTRON PLUS)
• A Hybrid Machine Learning Framework for Quantitative Defect Sizing in Eddy Current Testing
  J. Villamizar-Rincon (Universidad Pontifica Bolivariana), *M. Castellanos (Universidad Pontifica Bolivariana), I. Perez-Blanco (Corporación para la Investigación . Corrocion), J. Padilla (Corporación para la Investigación . Corrocion), D. Bernal-Mejia (Corporación para la Investigación . Corrocion), L. Angel (Universidad Pontificia Bolivariana)
• Structural Health Monitoring and Predictive Maintenance: Advanced IoT-based Solutions for a New Era in Structural Engineering
  *C. Freire (Tokbo Agencia Chile), M. Villa (Tokbo Srl), I. Moroni (Tokbo Srl), M. Latour (Università di Salerno)
• Integrating Expert Thresholds and LSTM Autoencoders for Reliable Fault Detection in Industrial Equipment
  *L. Quinteros (University of Surrey), V. Meruane (Universidad de Chile), J. Marín (Calmly - Data Intelligence)