Publications
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Digital Twin of an Industrial Workstation: A Novel Method of an Auto-Labeled Data Generator using Virtual Reality for Human Action Recognition in the Context of Human Robot Collaboration
The recognition of human actions based on artificial intelligence methods to enable Human-Robot Collaboration (HRC) inside working environments remains a challenge, especially because of the necessary huge training datasets needed. Meanwhile, Digital Twins (DT) of human centered productions are increasingly developed and used in the design and operation phases. As instance, DT are already helping […]
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Jumeaux numériques pour l’enseignement
Présentation du projet JENII, état de l’art S. Fernagu, Directrice de recherche au CESI- Paris :« Implication de l’usage des jumeaux numériques sur l’enseignement et l’apprentissage professionnels ».Vous la/le retrouverez ici :
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Analysis of physical and mechanical characteristics of tropical natural fibers for their use in civil engineering applications
ABSTRACT Natural fibers investigated in this study are mainly waste from agro industry. The importance of natural fibers in building composites is increasing, as they partially replace nonrenewable natural resources acting as reinforcement in composite materials such as concrete, mortar and earth bricks. Their recycling requires a detailed analysis of the physical, chemical, and mechanical […]
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Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry
Industry 4.0 arrives with a multitude of technological advances which impact the different components of a product’s value chain. Most existing research investigate the application of Industry 4.0 technologies in various parts of the manufacturing process. However, there is still a lack of comprehensive research on the impact of Industry 4.0 technologies on decision-making and […]
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Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement
The Job Shop Scheduling Problem (JSSP) has been widely studied in recent decades. Various approaches have been proposed to support scheduling decisions according to the evolving production environment. The emergence of technological advancements in the context of Industry 4.0 has brought many changes and made production scheduling more and more efficient. Today’s Industry 5.0 environment […]
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Detecting Dynamic Patterns In Dynamic Graphs Using Subgraph Isomorphism
Graphs have been used in different fields of research for performing structural analysis of various systems. In order to compare the structure of two systems, the correspondence between their graphs has to be verified. The problem of graph matching, especially subgraph isomorphism (SI), has been well studied in case of static graphs. However, many applications […]
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Prototype of the Solution with a View to Industrialization
The development of a wheelchair to help people with mobility impairments (PMI) in their daily life is a very important topic that interest researchers. The introduction of new technologies can provide these wheelchairs with very interesting and useful functionalities. However, the proposed functionalities increase the cost of the electrical or the smart wheelchair. The main […]
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Context aware human machine interface for decision support
Humans are often impacted by the presentation of choices in a digital environment. But they differ in their characteristics, behaviours, skills, limitations, and act differently in the same environment. Therefore, Influencing users choices through adaptive human-machine interfaces is crucial in context-aware technologies characterizing the industry 5.0. Our research efforts therefore focus on developing a reference […]
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Sustainable and Flexible Hub Location Problem
This paper addresses a flexible and sustainable hub network design problem that considers integrated strategic decisions related to hub location, transportation network configuration, and environmental protection. The proposed approach is based on a multi-objective model, consisting in minimizing the economic cost of the carbon footprint related to hub emissions and transportation activities. To evaluate the […]
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Rechargeable Battery State Estimation Based on Adaptive-Rate Processing and Machine Learning
The generalization of the use of electronic systems and their integration in industrial systems and different aspects of modern life (internet of things, electric vehicles, robotics, smart grids), give rise to new challenges related to the storage and optimized management of energy. Lithium-on batteries perfectly meet this objective due to their good qualities such as […]
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Features Mining and Machine Learning for Home Appliance Identification by Processing Smart meter Data
The energy sector is changing as a result of digitalization and IoT advancements. The Internet of Energy (IoE) is developing to link many smart grid components and shareholders effectively. The use of smart meters is becoming more popular in this context. The automatic identification of appliances is one of the most important applications of smart […]
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Hybridization of Wavelet Decomposition and Machine Learning for Brain Waves based Emotion Recognition
Emotion recognition has sparked the interest of researchers from a variety of disciplines. Studies have demonstrated that brain signals may be utilized to characterize a wide range of emotional states. Electroencephalogram (EEG) measures the cerebral activity. Therefore, by exploiting the EEG signals the emotion states can be determined. In this study the EEG signals undergoes […]
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