Publications
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STr-GCN: Dual Spatial Graph Convolutional Network and Transformer Graph Encoder for 3D Hand Gesture Recognition
Skeleton-based hand gesture recognition is a challenging task that sparked a lot of attention in recent years, especially with the rise of Graph Neural Networks. In this paper, we propose a new deep learning architecture for hand gesture recognition using 3D hand skeleton data and we call STr-GCN. It decouples the spatial and temporal learning […]
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Maturity Evaluation Methods for BIM-based AR/VR in Construction Industry: A Literature Review
The architecture, engineering, and construction (AEC) industry has seen significant development, particularly with the increased adoption of Building Information Modeling (BIM). Despite this progress, the interaction between digital and physical environments remains limited due to the visual limitations provided by the built environment. Although integrating BIM with immersive technologies, such as Augmented Reality (AR) and […]
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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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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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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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