Publications
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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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Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybridBCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to maximize the advantages of each while minimizing the drawbacks of individual methods. Recently, researchers have started focusing on the Electroencephalogram (EEG) and ‘‘Functional Near-Infrared Spectroscopy” (fNIRS) based hBCI. The main […]
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Minimising total weighted completion time for semi-online single machine scheduling with known arrivals and bounded processing times
This paper addresses the semi-online scheduling problem of minimising the total weighted com pletion time on a single machine, where a combination of information on jobs release dates and processing times is considered. In this study, jobs can only arrive at known future times and a lower bound on jobs processing times is known in […]
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Connectivity Repair Heuristics for Stationary Wireless Sensor Networks
Wireless sensor network connectivity is a crucial parameter since it keeps the network operative. Network connectivity may be lost due to a variety of factors, such as energy depletion and sensor node failure. Therefore, the network will be partitioned into a set of disjoint sets, resulting in a loss of data collected by isolated sets. […]
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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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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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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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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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