Publications
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Potatoes Supply Chain Challenges and Opportunities in Algeria : A literature Review
The Agri-Food Supply Chain (AFSC) has become a focal point of attention in recent times due to the intersection of technology and integrated Supply Chain (SC) performance. Current research endeavors aim to minimize waste, maximize yield, and enhance planning while ensuring chain traceability and maintaining product price equilibrium. This paper offers a comprehensive summary of […]
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Distributed dynamics scheduling based reinforcement learning: importance and challenges
When it comes to scheduling choices inside complex industrial systems, the dynamic job shop scheduling problem (DJSSP) poses substantial difficulties. Deep learning, artificial intelligence (AI), and reinforcement learning approaches have all shown promising solutions in recent years to enhance the effectiveness and performance of DJSSP systems. This study provides a detailed analysis of the DJSSP […]
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Une revue systématique de la littérature autour du biais, de l’équité et de l’explicabilité
Ce travail fournit une analyse d’une bibliographie autour du biais de l’équité et de l’explicabilité des algorithmes de l’IA entre 2015 et 2022. Par une approche de Traite ment Automatique du Langage Naturel, plus précisément la LDA, nous avons extraits 8 sujets traités par cette biblio graphie. Une analyse de la popularité de ces sujets […]
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Consensus de partitions en NLP pour une Revue systématique de la littérature autour de l’XAI du biais et de l’équité
Ce travail présente une analyse comparative d’une bibliographie autour du biais de l’équité et de l’explicabilité des algorithmes de l’IA entre 2015 et 2022. Par trois approches de Traitement Automatique du Langage Naturel, nous avons extrait différents sujets traités par cette bibliographie. Ces trois approches nous ont également fourni trois partitions. Dans l’optique d’éviter de […]
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Predictive Maintenance in the Industrial Sector: A CRISP-DM Approach for Developing Accurate Machine Failure Prediction Models
In production systems, avoiding repeated failures is crucial for reducing costs and preventing downtime. Industry 4.0 technologies have enabled companies to collect and analyze real-time data from machines, which helps in identifying and preventing potential problems. By using metrics like MTBF and MTTR and analyzing past failures, we can develop predictive models to prevent future […]
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Proteus the origin story: how users conform their behavior to the appearance of their avatars
Depuis leur émergence, les environnements virtuels représentent un outil innovant pour étudier le comportement humain dans des situations impossibles à simuler autrement. L’une de ces situations est l’incarnation d’un corps virtuel entièrement différent du nôtre (i.e. un avatar). L’étude de ce cas a permis de mettre en évidence l’existence de l’effet Proteus : le fait […]
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SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale images. However, when it comes to different scenes which contain distinct color styles, it is difficult to accurately capture the color characteristics. In this work, we propose a fully automatic colorization approach […]
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Hub location problems: Classification and bibliometric analysis of relevant works
This paper presents a detailed study of the wellknown hub location problem (HLP). Its primary objective is to introduce novice readers to the complexity of this field. We focus on a review of pioneering work in HLP and have classified it according to several criteria. To do this, several classes have been identified, in particular: […]
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Optimizing Resource Allocation in the Flexible Job Shop Problem: Assessing the Impact of Rest Breaks on Task Strenuousness Reduction
The integration of collaborative robots (cobots) in production workshops aims to enhance productivity while minimizing physical strain for human operators. However, physical strain is often treated merely as a constraint rather than as an objective to address. To effectively model the production process and incorporate human factors, it is crucial to employ an appropriate index […]
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Hybrid convolutional transformer-based network model for finger vein identification
In recent years, finger vein (FV) recognition has garnered significant attention due to its inherent advantages, such as enhanced security, convenience, and the ability to discern living organisms. Notably, use of vision transformers in FV recognition has yielded promising results, primarily owing to their adeptness in capturing extensive spatial relationships within images. Nevertheless, transformers necessitate […]
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Verbalizing the sensitive dimensions of activity in work situations
Verbalizing the sensitive dimensions of activity in work situations
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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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