Publications
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Produire des connaissances transversales à partir d’une approche « micrologique » de l’activité : un défi pour l’analyse du travail en éducation-formation
La question de l’élaboration de connaissances généralisables à partir d’échelles d’analyse microscopiques et situées est à la fois récurrente et fondatrice des démarches de recherche relevant d’approches par l’analyse de l’activité dans le domaine de l’éducation-formation. Même s’il n’est pas toujours explicité et argumenté en tant que tel, ce passage d’observations locales à des interprétations […]
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New insights on rheology, durability and mechanical and thermal properties of polyester and steel fiber-reinforced Self-Compacting Concretes
Self-compacting concrete improves fresh-state fluidity while maintaining mechanical properties, and presents an increasing research interest in fiber incorporation. However, the effects of fibers on rheological behavior and durability remain insufficiently studied in existing literature. This study provides new insights on the effect of polyester and steel fibers on the rheological, mechanical, durability, microstructural, and thermal […]
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A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease
Facial expressions are a critical form of nonverbal communication, conveying a wide range of emotions. Recent advancements in artificial intelligence and computer vision have led to the development of deep learning methods, particularly convolutional neural networks, which are highly effective in facial emotion recognition. This paper presents EmoNeXt, an advanced deep learning framework for FER […]
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Fundamentals of Quantum Programming
This chapter provides an introduction to Qiskit, an open-source software frame- work for quantum computation that was developed by IBM. Its purpose is to simplify the process of quantum programming for individuals of all skill levels. This chapter explores the complexities of quantum programming by explaining the theoretical foundations and offering practical illustrations of quantum […]
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Sécurité, complexité, imprévisibilité: apports et perspectives des travaux de Leplat
e thème de la sécurité a un statut particulier dans les travaux de Jacques Leplat puisqu’il est transversal à toute sa carrière (Leplat, 1985, 2011; Leplat & Cuny, 1974). À partir des années 80, il s’est lié à celui de complexité, devenu indispensable pour décrire le monde qui nous entoure (Leplat & De Terssac, 1990; […]
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Split-Federated Reinforcement Learning for IoMT Data and Task Management in Edge-Fog-Cloud Infrastructure
Workload management in edge-fog-cloud infrastructure for the Internet of Medical Things (IoMT) involves significant costs and difficulties, primarily due to the challenge of managing tasks and the unpredictability of data generated by IoMT devices while processing real-time patient health states. Deep Reinforcement Learning (DRL) shows promise in efficiently addressing dynamic data placement and task offloading. […]
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Fog-Enabled Metaverse : Common points in an Industry 5.0 context
The industrial Metaverse is a virtual world where people and smart machines can meet, work, and interact. It is a constantly evolving domain where physical production assets such as machines, factories, grids, and transportation systems, along with human operators, are represented by interactive virtual objects. However, creating such a virtual world requires an efficient process […]
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Impact of considering virgin cork absorption on hydric properties of biobased concrete
Thanks to their excellent transfer properties, the use of cork aggregates in designing of biobased concretes constitutes nowadays one of the most promising solution to reduce the building environmental impact. However, their elevated water absorption capacity provokes numerous problems during preparation of concretes, affecting thus the concrete performances. This study aims to explore the impact […]
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Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Recommender System
This paper introduces a cutting-edge method for enhancing recommender systems through the integration of generative self-supervised learning (SSL) with a Residual Graph Transformer. Our approach emphasizes the importance of superior data enhancement through the use of pertinent pretext tasks, automated through rationale-aware SSL to distill clear ways of how users and items interact. The Residual […]
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Strategic Predictive Maintenance for Internet System Security and Risk Management: A Roadmap
Recent technological advancements have profoundly transformed companies and businesses, enabling them to achieve high levels of performance. Today, system and network infrastructures are crucial and indispensable, requiring continuous corrections and maintenance to ensure superior security, reliability, and availability. However, various risks related to software, hardware, and malicious threats can cause failures, attacks, data loss, service […]
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Finite-Dimensional Adaptive Observer Design for Reaction Diffusion Equation With Large Output Delay
The goal of this paper is to present a new finite-dimensional adaptive observer for some uncertain linear parabolic systems with delayed measurements. The observer is based on the modal decomposition approach and uses a classical persistent excitation condition. We prove that by using a finite-dimensional state predictor, we ensure exponential convergence of both states parameters […]
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EnergysavingsandcoverageoptimizationinedgeWiFisensordeployment for buildings: A multi-objective evolutionary approach
Edge sensor nodes are used to ensure informed decisions in several fields, including smart buildings, supply chain management, sustainability, mobile robotics in industry and logistics, and applications, including the Internet of Things (IoT). However, designing an optimal and cost-effective deployment of edge sensor nodes in a complex environment with different types of walls and interferences […]
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