Concept
Ingénierie des connaissances
Publications associées (63)
An aircraft assembly process formalism and verification method based on semantic modeling and MBSE
The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...
Elsevier Sci Ltd2024KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
David Atienza Alonso, José Angel Miranda Calero, Jonathan Dan, Christodoulos Kechris
Accurate extraction of heart rate from photoplethysmography (PPG) signals remains challenging due to motion artifacts and signal degradation. Although deep learning methods trained as a data-driven inference problem offer promising solutions, they often un ...
2024Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules
Colin Neil Jones, Bratislav Svetozarevic, Loris Di Natale
Model-free Reinforcement Learning (RL) generally suffers from poor sample complexity, mostly due to the need to exhaustively explore the state-action space to find well-performing policies. On the other hand, we postulate that expert knowledge of the syste ...
2023A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification
David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic
Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with contagious diseases, many research teams have turned ...
2023Data-driven Methods for Control: from Linear to Lifting
The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...
EPFL2023Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis
Extensive research has been conducted on fault diagnosis of planetary gearboxes using vibration signals and deep learning (DL) approaches. However, DL-based methods are susceptible to the domain shift problem caused by varying operating conditions of the g ...
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023Mechanical intelligence for learning embodied sensor-object relationships
Intelligence involves processing sensory experiences into representations useful for prediction. Understanding sensory experiences and building these contextual representations without prior knowledge of sensor models and environment is a challenging unsup ...
NATURE PORTFOLIO2022A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic
Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with such contagious diseases, many research teams have turned to crowdsourcing to ...
2022