Session S-33: Prediction and Supervision in Control and Engineering
04/07/2023, 16:15 - 04/07/2023, 18:15 (Africa/Tunis) (2 hours)

Session chair(s): Adolfo Perrusquia & Taranjit Singh 

Paper  ID


Title
Authors
502 
An Alternative Hybrid Super-Twisting Differentiator for a Motor Control System 
Shabnam Shakourzadeh, Giammarco Tonti, Corrado Guarino Lo Bianco* (Italy) 
497 
A Comprehensive Method for Measuring Flexibility at the Individual and Global Levels: A Case Study in the Automotive Industry 
Anthony CHEHAMI, Armand BABOLI*, Eva ROTHER, Behnam EINABADI, Mojtaba EBRAHIMI (France)
97 
Prediction of Hotspots in Injection Moulding by Using Simulation, In-Mould Sensors, and Machine Learning 
Mandana Kariminejad*, David Tormey, christopher O'Hara, Marion McAfee (Ireland)

A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction 
Singh Gurpreet, Adolfo Perrusquía*, Weisi Guo (United Kingdom) 
333 
Towards an ontology-based fault detection and diagnosis framework - a semantic approach 
László Nagy*, Ruppert Tamas, Abonyi Janos (Hungary) 
409 

A Region-Based Approach to Monocular Mapless Navigation Using Deep Learning Techniques 

ZAKARIAE MACHKOUR*, Daniel Ortiz-Arroyo, Petar Durdevic (Denmark) 
153 
Approximate Model Predictive Control Based on Neural Networks in a Cloud-Based Environment 
Joshua Adamek*, Sergio Lucia (Germany)