Publications
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A possible direct recycling of dredged sediments from the Usumacinta River(Mexico) into fired bricks
Abstract: Reuse of dredged sediments is an effective approach to waste management. This study focuses on the reuse of Usumacinta River dredged sediments in fired bricks. Physico-chemical characteristics of sediments were investigated for their reuse. The grain size of sediments shows that Usumacinta sediments have a sandy texture with low organic matter. The presence of […]
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Problem-based learning analysis using capability approach
Based on research conducted with undergraduated students in French Engineering School, we propose to highlight the conditions under which problem-based learning (PBL) can be favorable to student’s learning based on the method of analysis resulting from the capability approach (Sen, 2001). PBL appears in the literature to be an adapted way to tend to, among […]
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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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Connectivity Repair Heuristics for Stationary Wireless Sensor Networks
Wireless sensor network connectivity is a crucial parameter since it keeps the network operative. Network connectivity may be lost due to a variety of factors, such as energy depletion and sensor node failure. Therefore, the network will be partitioned into a set of disjoint sets, resulting in a loss of data collected by isolated sets. […]
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Shared micro-mobility : technologies, challenges and prospects of using collected data
Electric micro-vehicles including scooters, bicycles, and mopeds are gaining popularity as a preferred shared mode of transportation due to their environmental sustainability and cost-effectiveness. However, despite their numerous benefits, these micro-mobility services face several challenges that may limit their adoption. In this paper, we provide a comprehensive discussion of shared micro-mobility services as well as […]
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Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning
The Brain-computer interface (BCI) is used to enhance the human capabilities. The hybridBCI (hBCI) is a novel concept for subtly hybridizing multiple monitoring schemes to maximize the advantages of each while minimizing the drawbacks of individual methods. Recently, researchers have started focusing on the Electroencephalogram (EEG) and ‘‘Functional Near-Infrared Spectroscopy” (fNIRS) based hBCI. The main […]
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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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Minimising total weighted completion time for semi-online single machine scheduling with known arrivals and bounded processing times
This paper addresses the semi-online scheduling problem of minimising the total weighted com pletion time on a single machine, where a combination of information on jobs release dates and processing times is considered. In this study, jobs can only arrive at known future times and a lower bound on jobs processing times is known in […]
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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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Enhancing Autonomous System Security
Invited talk to Distributed Computing for Emerging Smart Networks (DiCES-N), May 27, 2023, Bizerte, Tunisia, 2023, Bizerte, Tunisia.
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Feasibility for the Recovery of Excavated Soils in Compressed Earth Blocks as a Sustainable Building Material
Abstract: Soil is continuously excavated for development activities in urban and rural areas and treated as waste. This study investigates the characteristics of urban soils excavated from earthworks of buildings in the Brittany region of France for their perspective reuse in earthen construction materials to valorize soil waste and provide a sustainable building material locally. […]
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