Publications
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A review of IoT architectures in smart healthcare applications
The Internet of Things (IoT) is revolutionizing numerous industries, including healthcare services, known as the Internet of Medical Things (IoMT). A large amount of generated data in IoMT applications need to be transmitted, analyzed, and stored. Consequently, the cloud-only architecture was proposed as being the best-fit organizational infrastructure. Indeed, cloud capabilities of processing, networking, and […]
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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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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 […]
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FNR-GAN: FACE NORMALIZATION AND RECOGNITION WITH GENERATIVE ADVERSARIAL NETWORKS
The normalization of in-the-wild faces is a low-cost process which can both improve face recognition performances and reduce the computation complexity of face generation. In this paper, we present an unsupervised Face Normalization and Recognition within Generative Adversarial Networks (FNRGAN). This proposed approach generates and recognizes faces from normalized features of in-the wild faces. We […]
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