Publications

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Publications

    • Article
    • Ingénierie & Outils numériques

    A multi-agent system simulation of job shop scheduling with human consideration: A comparative analysis of AGVs and AIVs

    The manufacturing landscape is undergoing a paradigm shift towards Industry 5.0, emphasizing human-centricity in a collaborative environment between humans and robots. In this context, the job shop scheduling problem (JSSP) remains a critical aspect of workshop management, optimizing task sequencing to minimize the overall completion time (makespan). Traditionally, autonomous and guided vehicles (AGVs) have been […]

    • Chapitre d’ouvrage scientifique
    • Ingénierie & Outils numériques

    Biobased materials as a robust solution for building renovation

    Bio-based materials like wood, straw, and hemp, offer a sustainable solution to reducing carbon footprints and confronting climate change in construction. These materials not only lower the environmental impact and emissions but also improve insulation, aligning with the circular economy and life cycle assessment goals. Their use addresses the construction sector’s high energy demand and […]

    • Conférence
    • Ingénierie & Outils numériques

    Enhanced Calibration of a Laser Profiler Sensor for 3D Inspection and Reconstruction

    In recent decades, inspection and three-dimensional reconstruction of gas and water pipes have required high-precision sensors capable of operating in confined and low-texture environments, which presents challenges to traditional sensing technologies. This paper presents the design of both hardware and software for a laser profiler sensor, introducing a novel approach to calibrating the sensor to […]

    • Article
    • Apprendre & Innover

    Distinguer les soft skills d’autres construits

    On constate aujourd’hui, dans les publications en sciences de la formation, en sciences de gestion, comme dans les rapports d’organisations internationales, un point consensuel : les soft skills sont considérées comme de plus en plus importantes pour l’employabilité des personnes. Mais le syntagme anglais soft skills a des traductions variables, et quelle que soit la […]

    • Article
    • Ingénierie & Outils numériques

    Toward a Predictive Maintenance: Implementing an Innovative Maintenance System for Manufacturing Production Lines Based on New Technologies

    The rise of “big data” has been profoundly transformed the landscape of the manufacturing sector, putting pressure on companies’ competitiveness and making the effective utilization of this vast data a critical imperative for efficient maintenance. Therefore, predictive maintenance plays an essential role in meeting these challenges, anticipating maintenance needs and enhancing equipment durability. This paper […]

    • Article
    • Apprendre & Innover

    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 […]

    • Article
    • Ingénierie & Outils numériques

    Optimized cooperative vehicle routing in multi-depot collection systems for circular economy: Model development and case study

    Manufactured products and used raw materials should be reprocessed and reutilized to ensure sustainability in the context of the circular economy. Optimized waste collection and management play a crucial role in establishing effective circular economy practices. A collaborative waste collection system is one of the pillars for optimizing the entire waste collection process. Collaborative waste […]

    • Article
    • Ingénierie & Outils numériques

    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 […]

    • Article
    • Ingénierie & Outils numériques

    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 […]

    • Chapitre d’ouvrage scientifique
    • Ingénierie & Outils numériques

    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 […]

    • Conférence
    • Ingénierie & Outils numériques

    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. […]

    • Conférence
    • Ingénierie & Outils numériques

    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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