Publications
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An Overview of Artificial Intelligence Driven Li-Ion Battery State Estimation
The omnipresence of batteries in nowadays appliances such as portable devices, electrical vehicles, hybrid microgrids, etc. gives them a special priority in energy storage. In addition, the high cost of battery manufacturing makes the maintenance and the monitoring of their states critical. The state estimation is a complicated process that may include many parameters to […]
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Development and Evolution of Hybrid Microgrids in the context of Contemporary Applications
This chapter provides a valuable insight to the development and evolution of hybrid microgrids, their applications, energy demand analysis, energy sources, mathematical modeling, objective parameters, and case studies. It begins with the definition of hybrid microgrids and highlights their importance in various sectors. Onward, it discusses the key microgrid applications. The analysis of energy demand […]
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A Systematic Review of Predictive Maintenance and Production Scheduling Methodologies with PRISMA Approach
Predictive maintenance has been considered fundamental in industrial applications over the last few years. It contributes to improving reliability, availability, and maintainability of the systems and decreasing production efficiency in manufacturing plants. This article aims to explore the integration of predictive maintenance into production scheduling through a systematic review of literature. The review includes 165 […]
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EEG-based Schizophrenia Classification using Penalized Sequential Dictionary Learning in the Context of Mobile Healthcare
Mobile healthcare is an appealing approach based on the Internet of Medical Things (IoMT) and cloud computing. It can lead to unobstructed, economical, and patient-centric healthcare solutions. The key performance indicators of such systems are dimensionality reduction, computational effective- ness, low latency, and accuracy. In this context, a novel approach is devised for EEG-based schizophrenia, […]
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Développement d’une nouvelle méthode numérique basée sur l’arithmétique des intervalles pour la reconstruction de matrice Origine/Destination
La matrice Origine/Destination (OD) revêt une importance capitale dans le dimensionnement et la planification d’un système de transport. L’estimation des matrices OD est principalement réalisée par les gestionnaires de réseau à partir de données issues d’enquêtes. Le déploiement massif d’outils numériques permet l’acquisition automatique de données en temps réel comme la billettique. Il génère une […]
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Resource-Constrained EXtended Reality Operated With Digital Twin in Industrial Internet of Things
EXtended Reality (XR) alongside the Digital Twin (DT) in Industrial Internet of Things (IIoT) emerges as a promising next-generation technology. Its diverse applications hod the potential to revolutionize multiple facets of Industry 4.0 and serve as a cornerstone for the rise of Industry 5.0. However, current systems are still not effective in providing a high-quality […]
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Hybrid Metaheuristics for Industry 5.0 Multi-Objective Manufacturing and Supply Chain Optimization
Industry 5.0 ushers in a new era of manufacturing, with the integration of sophisticated technology and human know-how, emphasising durable, customised and resilient industrial techniques. Multi-Objective Optimization (MOO) becomes a crucial instrument for tackling the complicated balance between efficiency, cost, quality, and sustainability. This article introduces a new method combining mathematics and swarm intelligence to […]
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Supply Chain 5.0: Vision, Challenges, and Perspectives
The recent technological advancements have transformed modern supply chains into complex networks. Consequently, today’s supply chain systems are facing several challenges, including limited visibility in both upstream and downstream supply chains, lack of trust among the different stakeholders, as well as transparency and traceability. The application of the Internet of Things can enable companies to […]
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Optimal placement and sizing of distributed generation for power factor improvement
This study employs the Forward-Backward Sweep (FBS) method in conjunction with the Sea Horse Optimization (SHO) algorithm to optimize the sizing and placement of Distributed Generators (DGs) in a distribution network for the intended case study. Through the integration of MATPOWER toolbox in MATLAB and Torrit software, the network is systematically evaluated under four scenarios […]
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Classification of whispering gallery modes for cladded systems
A classification of whispering gallery modes has been proposed between three types : core modes, cladding modes and composed modes. While core modes or cladding modes are interesting to generate with a sensor purpose, composed modes propagate in both core and coating and therefore should be avoided. In this paper, a theoretical and numerical study […]
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Online human motion analysis in industrial context: A review
Human motion analysis plays a crucial role in industry 4.0 and, more recently, in industry 5.0 where humancentered applications are becoming increasingly important, demonstrating its potential for enhancing safety, ergonomics and productivity. Considering this opportunity, an increasing number of studies are proposing works on the analysis of human motion in an industrial context, taking advantage […]
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Determinant Factors of Teaching Performance in COVID-19 Context
COVID-19 pandemic still impact higher education system, stakeholders and environment all around the world. Students, teachers, academic institutions and education decision makers were shocked by an atypical new context they promptly put in face, asking drastic change in behavior and procedures at individual, familial and institutional levels. Full lockdown and closing campuses enforced students and […]
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