Publications
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Shared micro-mobility : technologies, challenges and prospects of using collected data
Electric micro-vehicles including scooters, bicycles, and mopeds are gaining popularity as a preferred shared mode of transportation due to their environmental sustainability and cost-effectiveness. However, despite their numerous benefits, these micro-mobility services face several challenges that may limit their adoption. In this paper, we provide a comprehensive discussion of shared micro-mobility services as well as […]
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Enhancing Autonomous System Security
Invited talk to Distributed Computing for Emerging Smart Networks (DiCES-N), May 27, 2023, Bizerte, Tunisia, 2023, Bizerte, Tunisia.
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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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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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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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Performance Thermique Des Constructions Hors-Site
Le développement durable et l’amélioration continue des éléments de construction fabriqués en usine ont favorisé l’émergence des systèmes de préfabrication en tant que tendance positive pour la construction de bâtiments à haute performance. La reconnaissance des avantages de la construction hors site, varie d’un pays à l’autre en raison des caractéristiques locales. Dans certains pays […]
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Performance environnemantale Des Constructions Hors-Site
Cette étude environnementale analyse l’impact global des bâtiments hors site dans le contexte de la transition écologique et de la lutte contre le changement climatique. Face à la nécessité de réduire les émissions de gaz à effet de serre (GES) du secteur du bâtiment, la construction hors site apparaît comme une solution innovante et durable. […]
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Instrumentation du bâtiment hors-site
Face aux enjeux environnementaux actuels et à l’augmentation du temps passé dans les logements, la réduction de l’impact écologique et des consommations énergétiques des bâtiments est devenue une priorité. Les bâtiments modulaires hors site apparaissent comme une réponse prometteuse à ces défis, grâce à leurs procédés de construction optimisés et durables. Cependant, ces bâtiments peuvent […]
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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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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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Energy Consumption Forecasting in a University Office by Artificial Intelligence Techniques: An Analysis of the Exogenous Data Effect on the Modeling
The forecasting of building energy consumption remains a challenging task because of the intricate management of the relevant parameters that can influence the performance of models. Due to the powerful capability of artificial intelligence (AI) in forecasting problems, it is deemed to be highly effective in this domain. However, achieving accurate predictions requires the extraction […]
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