Publications
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Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro
The cement industry is a major energy consumer, with most of its costs associated with fuel and energy requirements. While traditional thermal power plants generate electricity, they are both harmful and inefficient. In this study, battery depth of discharge (DOD) is evaluated for four different battery technologies in the context of the cement industry. The […]
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PUF-based mutual authentication and session key establishment protocol for IoT devices
The Internet of things (IoT) is an indispensable part of our daily lives, bringing us many conveniences, including e-commerce and m-commerce services. Unfortunately, IoT networks suffer from several security issues, such as privacy, access control, and authentication. However, due to the limited computation resources, remote authentication between IoT devices and servers is vulnerable to being […]
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FedGA-Meta: Federated Learning Framework using Genetic Algorithms and Meta-Learning for Aggregation in Industrial Cyber- Physical Systems
In Industry 4.0, factories encounter significant challenges in making informed decisions to maintain or enhance their industry standing. By utilizing machine learning (ML), they can improve product quality, decrease production downtime, and boost operational efficiency. However, acquiring datasets with sufficient variation and diversity to train a robust neural network centrally is a challenge within the […]
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Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network
The detection of weld defects by using X-rays is an important task in the industry. It requires trained specialists with the expertise to conduct a timely inspection, which is costly and cumbersome. Moreover, the process can be erroneous due to fatigue and lack of concentration. In this context, this study proposes an automated approach to […]
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Consensus de partitions en NLP pour une Revue systématique de la littérature autour de l’XAI du biais et de l’équité
Ce travail présente une analyse comparative d’une bibliographie autour du biais de l’équité et de l’explicabilité des algorithmes de l’IA entre 2015 et 2022. Par trois approches de Traitement Automatique du Langage Naturel, nous avons extrait différents sujets traités par cette bibliographie. Ces trois approches nous ont également fourni trois partitions. Dans l’optique d’éviter de […]
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Predictive Maintenance in the Industrial Sector: A CRISP-DM Approach for Developing Accurate Machine Failure Prediction Models
In production systems, avoiding repeated failures is crucial for reducing costs and preventing downtime. Industry 4.0 technologies have enabled companies to collect and analyze real-time data from machines, which helps in identifying and preventing potential problems. By using metrics like MTBF and MTTR and analyzing past failures, we can develop predictive models to prevent future […]
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Une revue systématique de la littérature autour du biais, de l’équité et de l’explicabilité
Ce travail fournit une analyse d’une bibliographie autour du biais de l’équité et de l’explicabilité des algorithmes de l’IA entre 2015 et 2022. Par une approche de Traite ment Automatique du Langage Naturel, plus précisément la LDA, nous avons extraits 8 sujets traités par cette biblio graphie. Une analyse de la popularité de ces sujets […]
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A framework for modeling and analyzing cyber-physical systems using statistical model checking
The trustworthiness of a cyber–physical system is essential for it to be qualified for utilization in most real-life deployments. This is especially critical for systems that deal with precious human lives. Although these safety-critical systems can be investigated using both experimental testing and model-based verification, accurate models have the potential to permit risk-free mimicking of […]
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A comparative study of meta-heuristic algorithms for WSN deployment problem in indoor environments
The wireless sensor deployment problem is one of the major issues in wireless sensor networks (WSNs). It involves designing the optimal network topology within the deployment area in order to maximize network coverage and lifetime and minimize cost and energy consumption under the connectivity constraint. The WSN deployment problem is a challenging NP-hard combinatorial optimization […]
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Investigation of the Protection Efficiency of Repair Mortar Against Chloride Corrosion in Repaired Zones of Reinforced Concrete
In this study, specimens with concrete interfaces and repair mortar were designed to simulate a concrete repair system to investigate the efficiency of seven polymer-based cement repair mortars when they were applied to concrete supports. The steel protection capacity of the mortars against chloride attack and chloride diffusion along the interface between the concrete support […]
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Modelling the Integrated Production Scheduling and Vehicle Routing Problem
In this paper, we study an integrated production scheduling and vehicle routing problem. On the production side, a set of jobs has to be scheduled on identical parallel machines considering release dates and due dates. On the deliv-ery side, orders must be delivered to customers using several vehicles with lim-ited capacity. The objective is to […]
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Octa Pillars-based Approach to Select the Best Blockchain-based Solutions in Healthcare Information Exchange
Nowadays, health care has become a constant concern of all countries around the world, especially after the emergence of the Coronavirus (COVID-19) and all its variants. Billions of dollars are being paid through the World Health Organization to improve health care. Scientific research laboratories play a pioneering role in this area as well. Due to […]
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