Publications
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Guaranteeing information integrity and access control in smart cities through blockchain
The distributed devices in a smart city are characterized by different degrees of sensitivity. Some of them can be accessed by everyone whereas others are limited to a specific class of users (subjects). Therefore, we created an access control system named (Subject-Object-Task System) supported by blockchains that sort processes applied by subjects on smart devices. […]
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Fault Prediction in a Smart Building Lighting System
With the advances in many areas such as sensing technologies, new connectivity options and improved IoT architectures, predictive maintenance is considered as a promising solution for the maintenance of Smart Buildings (SBs). However, because of the lack of failure data for these systems, the approaches in the literature, which are mostly data-based approaches, are not […]
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Exploring human-machine collaboration in industry: a systematic literature review of digital twin and robotics interfaced with extended reality technologies
This systematic literature review presents the latest advancements and insights about digital twin technology and robotics interfaced with extended reality in the context of Industry 4.0. As the extended reality technologies emerge, it results in an increasing overlap between digital twins and human-robot interactions in industrial settings, promoting collaboration between operators and cobots in manufacturing […]
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Determinantes do Trabalho
Cuvelier, L., Nascimento, A., & Fourrièrre, J. (2023). Determinantes do Trabalho. In R. Rocha (Ed.), Dicionário de Ergonomia e Fatores Humanos.
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A SPARQL-based framework to preserve privacy of sensitive data on the semantic web
Over the last few years, the web of data has been evolved. Indeed, it allows sharing of a significant interconnection of a huge amount of data in several domains and it keeps increasing continuously. Due to the confidential nature of some data, sectors such as health, financial, and government, it have limited participation with fewer […]
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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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RUL Prediction with Encoding and Spatial-Temporal Deep Neural Networks
The objective of this paper is to design and develop an approach to estimate the Remaining Useful Life (RUL) of an industrial equipment evolving in a Cyber-Physical System (CPS). To do so, this work aims to predict failures and malfunctions of an industrial equipment, as well as evaluating all the main underlying causes. The system […]
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Réseau antagoniste génératif pour la fusion spatio-temporelle d’images satellitaires multi-spectrales
Résumé – Dans cet article, nous étudions la fusion spatio-temporelle d’une série temporelle d’images multi-spectrales avec une série temporelle d’images hyper-spectrales. Nous proposons pour cela une nouvelle approche fondée sur un réseau antagoniste génératif (GAN). Notre contribution principale réside dans le fait que le GAN prend en entrée des images satellitaires plutôt que du bruit. […]
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Investigation of Input Feature Combinations Considering Occupant Behavior for Modelling Indoor Air Temperature in a Classroom
This study investigated the performance of artificial neural networks and random forests with various combinations of input variables in modelling indoor air temperature in a classroom. The data collection methodology was designed to investigate key input parameters, including indoor air data, classroom occupancy, and occupant behavior factors such as windows, doors, blind operation, and occupant […]
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Innovation culture in French organisations
The aim of this study was to measure the relative impact of culture and processes on innovation performance. Contrary to processes, culture represents all implicit factors influencing daily behaviour. Culture gathers the unwritten rules of the social game and serves as social cement for an organisation. Processes correspond to identified and formalised practices and rules, […]
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Errare humanum est, perseverare autem diabolicum: A Follow-Up Study on the Human-Likeness of an AI Othello Player
Othello, also known as Reversi, is a popular 2-players board game. Olivaw is an intelligent agent playing Othello. Compared to the most famous ones (such as Saio), it exploits limited resources by autonomously learning how to improve its gameplay by playing against itself. In previous occasions, Othello players reported the impression of a sort of […]
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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: […]