Publications
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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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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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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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An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs
Vehicular Ad-Hoc Networks (VANETs) deliver a wide range of commercial as well as safety applications and further motivate the advancements of Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicles to Everything (V2X) communication. However, due to their open, distributed, dynamic nature, and protocol design issues, VANETs are vulnerable to a variety of security […]
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Optimized Nonlinear Integral Backstepping Controller for DC-DC Three-Level Boost Converters
Multi-level DC-DC converters have been widely used in automotive and other high-power applications. Thus, the control of these multi-level converters is an emerging thematic in power electronics to ensure their proper functioning. This paper provides a novel nonlinear control of a DC-DC three level boost converter (T-LBC) based on a backstepping (BS) technique with an […]
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Digital Twin, Virtual Reality and OPCUA-based architecture for pedagogical scenarios in Manufacturing and Computer Sciences curriculum
Whereas Digital Twin associated to Virtual Reality are powerful tools in industry, they are not commonly used in pedagogical scenarios since it implies using several standards and tools that are complex to understand, to setup, and so to massively deploy in a learning context. This problematic is explored in this paper by proposing an integrated […]
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Formal modelling and verification of scalable service composition in IoT environment
A system based on the internet of things (IoT) consists of services deployed across several devices that collaborate to fulfil IoT system goals. The growth in the number of IoT services that has occurred concurrently with the growth in the number of IoT devices is posing a significant difficulty for the process of service composition. […]
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An overview of interphase’s formation and participation on water diffusion in epoxy/metal bonded assemblies
This overview aims at gathering the various existing works on interphases within epoxy/metal bonded assemblies. Indeed, this particular area plays an important role on the adhesion but also on the behavior in wet environment. Polymeric materi als being hydrophilic, water diffusion occurs when they are in a humid environment. The water molecules then have an […]
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Free-Floating Micro-mobility Smart Redistribution Using Spatio-temporal Demand Forecasting
Micro-mobility refers to a variety of small and lightweight vehicles designed for individual use. These new vehicles are inexpensive, simple to operate, and enjoyable to ride, making them the easiest and most suitable mode of transportation for trips of less than five miles. They have become extremely popular, especially with the advent of free-floating systems […]
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Introducing the 3MT_French Dataset
Public speaking constitutes a real challenge for a large part of the population: estimates indicate that 15 to 30% of the population suffers from public speaking anxiety (Tillfors & Furmark, 2007). Several existing corpora were previously used to model public speaking behavior. Those created ad-hoc for research purposes (e.g., Wörtwein et al., 2015) often provide […]
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