Publications
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Processus de problématisation et mobilisation de la forme « problème » dans les pédagogies des écoles d’ingénieurs : une analyse de cas par les capabilités
Les méthodes de pédagogie active désignent un ensemble de démarches pédagogiques qui cherchent à mettre les apprenants en situation d’être acteurs de leurs apprentissages. Pour cela, elles s’appuient dans leurs modalités de mise en oeuvre sur l’expérience des apprenants et encouragent l’implication par l’investigation, la participation, la réflexion critique, l’appropriation par le faire et la […]
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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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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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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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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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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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Architecture proposal of a VR operating procedure system for construction training based on BIM and QHSE rules
This research fosters collaboration in developing VR training simulations for construction procedures using semantic web technology. It introduces SWRP, an intuitive, web-based graphic editor for QHSE rule editing, addressing the difficulties that construction experts face with SWRL. The main contribution is the VROPTS architecture, which integrates BIM, VR, and QHSE rules, as detailed in the […]
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New heuristic order based on tree-decomposition for solving CSPs
The Constraint Satisfaction Problem(CSP)represents a pivotal area of study within artificial intelligence, offering a broad spectrum of applications from scheduling to resource allocation. Despite significant advancements in the development of algorithms and heuristics, the efficient resolution of large and intricate CSP instances continues to pose a considerable challenge to the research community. Traditional heuristics often […]
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Energy optimization of building design using Genetic Algorithm and RMP ranking method
This study presents a simulation-based multi-objective optimization approach for identifying the optimal building envelope design to minimize energy consumption (for cooling and for heating), and carbon emissions. In this regard, the implemented methodology includes three basic phases: building energy simulation (EnergyPlus), optimization (non-dominant sorting genetic algorithm NSGA II), and multi-criteria decision analysis. The methodology is […]
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WiFi-Visual Data Fusion For Indoor Robot Localization
In this paper, we propose a WiFi-Visual robot localization method for limiting the unbounded error of imageonly localization due to visual environment similarity. The localization problem is modeled as a classification problem based on the WiFi-Visual data collected at labelled positions. The heterogeneous WiFi-Visual data is harmonized by representing the WiFi features in image form […]
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Conception and calibration of low-cost diagnostic tool for the evaluation of the thermal, acoustic and visual comforts in buildings
Abstract The comfort of indoor occupants is the primary factor infl uencing the energy consumption in a building. Even if it is a highly subjective notion, a better understanding of its links with the environmental parameters represents a promising way to optimize building energy consumption. The environmental physical parameters can be easily measured but usually […]
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