Publications
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A Reinforcement Learning-Based Node Selection for PBFT Consensus
Blockchain is nowadays a flourishing technology that served many domains (finance, supply chain, smart cities, healthcare, etc.) thanks to the immutability of data stored on it. In fact, before validating a block and appending it to the blockchain, most of the system nodes should agree on it and reach consensus. One of the most used […]
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An Adaptive Attack Prediction Framework in Cyber-Physical Systems
Cyber-physical systems (CPS) have been used in many applications, especially in smart cities and industrial systems. As a result of the exponential development of CPSs connected components, cyber-attacks against CPSs have exploded. Moreover, new critical CPS have high-security constraints that must be detected and predicted at an early stage of the communication process. Thus, it […]
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Interphase’s formation and participation on water diffusion in epoxy/metal bonded assemblies
Interphase’s formation and participation on water diffusion in epoxy/metal bonded assemblies
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Towards secure and reliable aggregation for Federated Learning protocols in healthcare applications
Federated Learning (FL) is an AI framework that enables collaborative and distributed training across multiple users to learn a global model while preserving the privacy of the data held locally at different sites. However, the aggregation process of FL that relies on a centralized server to update the global model parameters exposes the protocol to […]
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APBFT: An Adaptive PBFT Consensus for Private Blockchains
As smart cities become more decentralized, the need for reliable and secure cyber-physical systems (CPS) that guarantee safe interactions and secure data storage without loss of privacy is continuously increasing. Blockchain is a rapidly emerging technology in this domain. It demonstrated effectiveness thanks to the cryptographic mechanisms it utilizes and to its immutability. Private blockchains […]
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Usage des sentiments pour la conduite d’action : exemple d’entretiens d’accompagnement d’apprentis-ingénieurs
Le développement dans l’enseignement supérieur de l’individualisation des parcours a engendré un besoin d’accompagnement, entraînant à son tour un besoin de formation à cette fonction. Mais former à quels concepts ? Et notamment dans un entretien d’accompagnement, comment accéder sans perte de temps aux sujets ayant un enjeu ? Notre étude s’intéresse aux sentiments verbalisés […]
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L’approche par les capabilités dans le champ du travail et de la formation : vers une définition des environnements capacitants ?
De nombreux travaux conduits à partir du cadre des capabilités (Sen, 2001) interrogent la qualité des environnements de travail et/ou de formation, et leur capacité à soutenir la professionnalisation, le développement professionnel ou le pouvoir d’agir. Les capabilités se présentent comme une grille de lecture de ces processus, un outil d’évaluation de ces derniers. Plus […]
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Coordination revue Travail et apprentissage n°23
Dossier thématique sur les environnements capacitants
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Optimal techno-economic multi-level energy management of renewable-based DC microgrid for commercial buildings applications
An optimal techno-economic multi-level energy management strategy (EMS) is designed for a DC microgrid applied to a commercial building. The proposed power system is a grid-connected microgrid composed of a fuel cell (FC) system, a photovoltaic (PV) array, and a battery storage unit. The interaction between various types of power sources may lead to stability […]
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FPBFT: A Fast PBFT Protocol for Private Blockchains
Blockchain is an emerging technology that enables storing data and sharing it among many entities without the need for a central organization. Data is stored in an append-only ledger after the majority of participants agree on it. This mechanism is called the consensus, and many protocols are proposed in the literature (PoW, PoS, DPoS, RAFT, […]
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Mitosis Detection in Breast Cancer with Deep Learning: A New Approach
In this work, we propose a new approach for spot- ting mitoses in breast cancer histology images. This new approach involves integrating two publicly accessible datasets following a normalization procedure of color. The mitotic samples are then enhanced by preserving the context to address class imbalance. After this, the candidate mitotic cells are classified into […]
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Deep learning model based on inceptionResnet-v2 for Finger vein recognition
In recent years, The pattern of finger veins is widely recognized as an effective biometric for identifying a person. The traditional finger vein identification systems are based on hand- crafted features. However, Finger vein systems has been switched toward automatic features extraction due to the emergence of deep neural networks that are capable of extracting […]