Articles dans des revues internationales ou nationales avec comité de lecture
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Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network
The detection of weld defects by using X-rays is an important task in the industry. It requires trained specialists with the expertise to conduct a timely inspection, which is costly and cumbersome. Moreover, the process can be erroneous due to fatigue and lack of concentration. In this context, this study proposes an automated approach to […]
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Is Lead-Userness a trait or a state?
Lead users are invaluable resources to generate user centric radical innovation, but they remain difficult to detect and recruit in the general population. Lead userness, which draws both on the ability to identify unstated customer needs and find creative solutions to those needs, has been conceptualized as domain-dependent: this means that a lead user may […]
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Sujets capables et environnements capacitants : des cadres pour penser les situations d’apprentissage pour et dans le travail.
Cuvelier, L., & Fernagu, S. (2023). Sujets capables et environnements capacitants : des cadres pour penser les situations d’apprentissage pour et dans le travail. TransFormations – Recherches en Éducation et Formation des Adultes, 1(25), 130-147.
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An integrated cognitive-motivational model of Ikigai (purpose in life) in the workplace
In the Japanese philosophy of life, ‘ikigai’ broadly refers to having a ‘reason for living’, or a purpose in life. From a phenomenological and empirical viewpoint, ikigai is reported to increase human well-being and even life expectancy. However, it remains difficult to translate, define and formalize with regard to contemporary psychological theories. In this respect, […]
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Investigation of the Protection Efficiency of Repair Mortar Against Chloride Corrosion in Repaired Zones of Reinforced Concrete
In this study, specimens with concrete interfaces and repair mortar were designed to simulate a concrete repair system to investigate the efficiency of seven polymer-based cement repair mortars when they were applied to concrete supports. The steel protection capacity of the mortars against chloride attack and chloride diffusion along the interface between the concrete support […]
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Penser la présence : quelques pistes théoriques
Contribution au débat de la revue Distances et médiations des savoirs sur la « Présence » à distance, dans laquelle je propose deux paradigmes pour comprendre la « présence » : le paradigme phénoménologique utilisé dans certains travaux concernant la réalité virtuelle, et le paradigme mésologique qui l’actualise.
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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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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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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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