Publications
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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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Secure and Reliable Smart Cyber-Physical Systems
Smart Cyber-Physical Systems (SCPS) are heterogeneous inter-operable autonomous entities that play a crucial role in critical infrastructures. And as a result of supporting novel communication and remote control features, they became more dependent on connectivity, which increased attack surfaces and introduced errors that elevated the likelihood of SCPS errors. Additionally, they may cause new types […]
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La VAE au prisme des capabilité
Interview
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Modelling and Measuring Innovation Culture
We aim to provide a conceptual model of innovation culture in organizations and build a survey tool to measure it. Innovation management focuses often on formalized processes whereas unwritten rules related to organizational culture are also a major factor for innovation and firms’ performance. We first position the role of culture with regard to innovation […]
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Presence and impact of Teal practices among French organizations
This cross-industry study first highlights the presence of Teal types practices among French organizations. It also allowed the identification of some plebiscited ones, which could be first implemented when an organization wishes to take the first step towards Teal Model. Teal practices appeared to impact trust, and not directly engagement. However, this study, while exiting, […]
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Aggregation using Genetic Algorithms for FederatedLearning in Industrial Cyber-Physical Systems
Industry and academics are interested in indus-trial cyber-physical systems (ICPS). Complexity makes it hardto grasp these systems design and functioning. By offeringFedGA-ICPS, a federated learning framework based on geneticalgorithms, we can solve ICPS ́s performance and decision sup-port. To simulate the structure and behavior of these systems,we use ICPS. FedGA-ICPS investigates the performance of theICPS […]
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SUPERVISED LEARNING BASED APPROACH FOR TURBOFAN ENGINES FAILURE PROGNOSIS WITHIN THE BELIEF FUNCTION FRAMEWORK
Recent developments in maintenance modeling, powered by data-driven approaches such as Machine Learning (ML), have enabled a wide range of applications. For example, industrial systems coming with a huge operating database make ML an ideal candidate for their predictive maintenance (PdM). PdM is the process of predicting malfunctions using data from equipment monitoring and process […]
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A stochastic approach for extracting community-based backbones
Large-scale dense networks are very parvasive in various fields such as communication, social analytics, architecture, bio-metrics, etc. Thus, the need to build a compact version of the networks allowing their analysis is a matter of great importance. One of the main solutions to reduce the size of the network while maintaining its characteristics is backbone […]
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Save Infant’s Live or Save Economic Growth? An Analysis by ARDL Approach: Case of India
India is one of the top 10 countries in CO2 emissions and it is considered one of the countries with the highest infant mortality rate. For these reasons, the state of health of population has become the object of studies and monitoring by many organizations and experts. In this study we try to analyze the […]
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