Publications
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Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting
Selective laser melting (SLM) is an additive manufacturing technique formetallic materials, currently implemented in different industrial applications. Among the various materials, 316L stainless steel (316L SS) has been widely investigated by this process. However, achieving optimal manufacturing quality is challenging due to the large number of parameters that affect the final product. Traditional methods for […]
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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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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 […]
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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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Green hydrogen production using bifacial solar photovoltaics integrated with high-albedo roof coating & micro-inverter
Green hydrogen is a key factor for the decarbonization of the energy sector and to foster the clean energy transition but has the highest cost when compared to grey and blue hydrogen. This is due to the high cost of the generation of energy from renewable sources and the efficiency of the water electrolyzer. Future […]
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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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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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