CoDIT 2023
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Session VS-01: Fault Detection and Diagnosis
Done
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Session VS-03: Robotics
Done
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Session S-11: Learning Systems
Done
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Session S-17: Optimal Control (Part 1)
Done
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Session S-30: Robotics (Part 1)
Done
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Session S-37: Optimal Control (Part 2)
Done
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Session S-03: Control Design Methods (Part 1)
Done
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Session VS-08: Artificial Intelligence
Done
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Session S-49: Control Applications (Part 2)
Done
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Session S-48: System Identification
Done
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)
|
8
|
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)
|