Publications
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Etude de l’effet de l’écrêtage sur le comportement mécanique des sols grossiers non cohésifs
Les caractéristiques de résistance au cisaillement des sols grossiers peuvent être mesurées par la réalisation d’essais au laboratoire. Toutefois, ces mesures nécessitent souvent des procédures d’écrêtage, en raison de la présence de particules de grandes dimensions par rapport à la taille du dispositif d’essai. Ce travail vise à étudier les conséquences de trois procédures d’écrêtage […]
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From sight to touch, the role of manipulating objects in developing individual and collective creativity
When an individual appropriates and uses an object he or she does so first with thevisual sense (Hatwell & Cazals, 1988). This ‘visual capture’ provides the availableinformation but can deprive him or her of the functionality of the other senses (Lacey & Sathian, 2014; Saradjan, 2015). The aim of our research is to test the […]
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EEG Signal based Schizophrenia Recognition by using VMD Rose Spiral Curve Butterfly Optimization and Machine Learning
Schizophrenia is a mental illness that can negatively impact a patient’s mental abilities, emotional propensities, and the standard of their private and social lives. Processing EEG data has evolved into a useful tool for tracking and identifying psychological brain states. In this framework, this paper focus on developing an automated approach for recognizing schizophrenia using […]
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An Affordable EOG-based Application for Eye Dystonia Evaluation
This paper evaluates the risk of ocular dystonia—a condition marked by excessive blinking—using electrooculography. A commercial bioamplifier is employed to capture the electrical activity of the eyes using dispensed surface electrodes. The continuous wavelet transform of the electrooculogram was estimated to identify the features related to involuntary eye-blinking behavior and make the classification. The signal […]
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An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction
: Prognosis and health management depend on sufficient prior knowledge of the degra dation process of critical components to predict the remaining useful life. This task is composed of two phases: learning and prediction. The first phase uses the available information to learn the system’s behavior. The second phase predicts future behavior based on the […]
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Statistical modelling of digital elevation models for GNSS-based navigation
Recently, smart mobility has become a important activity in transportation systems such as public, autonomous and shared transports. These systems require reliable navigation applications that lead to precise localisation and optimised route. The GPS system may face problems such as signal degradation caused by conical effects, affecting the reliability and accuracy of the signal, or […]
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Multi-hop Wireless Transmission for Maritime Scenarios
The collection and processing of maritime informa- tion is an essential task that demands extensive analysis to achieve a more profound understanding of coastal regions. Usually, data is gathered through sensors placed on buoys and transmitted to onshore data centres for storage and examination. Nevertheless, the harsh marine environment, including waves, wind, and vessel traffic, […]
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Enhancing Autonomous System Security: A Formal Framework for Assessing and Strengthening Autonomous Vehicle Defenses
In recent years, there has been growing concern among experts regarding the risks of hacking autonomous vehicles. As these vehicles become increasingly complex, the number of potential vulnerabilities and challenges associated with securing them also rises. This paper presents a model checking-based framework that utilizes a predefined set of attacks and countermeasures, which are then […]
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Effect of network modifications on a french metropolis transportation system by agent-based transport simulations
This paper investigates the impact of a network modification on the multimodal transportation system in the Rouen Metropole Normandy region of France using an agent-based transport simulation model. The use of a multi-agent simulation tool allows for a more realistic and accurate representation of individual transportation behavior and enables transportation planners to evaluate the impact […]
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Real-life experiments and business model innovation process: lessons from the Living Lab literature
If research has established experiments as an essential part of the BMI process, the literature has not elaborated on which alternative approaches exist to implement them, and how these may differ regarding their impact on the whole BMI process. One essential and underdeveloped aspect of experimentation is the testing environment, which is supposed to reproduce […]
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A Hybrid Aggregation Approach for Federated Learning to Improve Energy Consumption in Smart Buildings
As the world’s economy and urbanization develop rapidly, energy shortages and pollution are becoming major challenges. In general, buildings are responsible for approximately 40% of global energy consumption. To combat this challenge, the adoption of intelligent buildings is strongly recommended. Therefore, through the data collected by the smart buildings, effective solutions should be incorporated to […]
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Ordonnancement simultané de la production et la maintenance dans un atelier job-shop flexible
Cet article propose un programme linéaire en nombre entiers pour l’ordonnancement conjoint et simultané de tâches de production et de maintenances prédictives basée sur la prévision de la dégradation. L’objectif est de trouver un ordonnancement qui minimise le temps total d’exécution en garantissant le maintien de l’état des machines sous un seuil de dégradation prédéfini. […]
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