Publications
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Multi-objective electric vehicle charging scheduling under stochastic duration uncertainty
The ongoing electrification of the transport sector, driven by the numerous advantages of electric vehicles (EVs), introduces new challenges related to charging logistics, particularly due to long charging durations and uncertain conditions, posing significant negative impacts on grid stability and user satisfaction. While existing literature on EV charging scheduling often assumes deterministic charging durations, real-world […]
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FedWKD: Federated learning weighted aggregation with knowledge distillation for IoT forecasting
Federated Learning (FL) has emerged as a promising solution for decentralized Machine Learning (ML) that does not have direct access to datasets in a centralized manner. However, the traditional FL methods are prone to overfitting and model drift at the client level and server divergence during classic aggregation in case of heterogeneous, non-independent and identically […]
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Influence of Minor Coarse Aggregate Fractions on Hardfill Strength: A Case Study of Mallegue-Amont Dam
This study examines the influence of low proportions (< 2.5% by mass) of 40/63 mm gravel on the shear strength of hardfill used in the Mallegue-Amont Dam (Tunisia). To address the coarse nature of the material, a custom medium-scale direct shear apparatus was developed, despite its nonstandard dimensions. Nine mixtures with varying sand-to-gravel ratios were […]
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Natural Fiber Composites for Sustainable Model Rocketry: Bamboo and Jute as Alternatives to Fiberglass
The search for sustainable alternatives to synthetic composites has become increasingly relevant in aerospace engineering education and student rocketry. Fiberglass is widely used for rocket fuselages due to its favorable balance of performance and cost, but it is energy-intensive, non-biodegradable, and environmentally burdensome. This study provides the first demonstration of natural fiber composites applied to […]
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Failure analysis of putty‑composite patch repair system for wall loss damaged pipelines
Wrapping glass fiber-reinforced polymer (GFRP) composites around damaged pipes are effective method and accepted in practices. The main aim of this paper is to propose new composite repair geometry to optimize the wrap repair thickness for cost-effective repair system using finite using finite element analysis (FEA). Two different repair geometries were considered: one where the […]
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Graph-based federated learning approach for intrusion detection in IoT networks
Internet of Things (IoT) networks face increasing cyber threats that require collaborative intrusion detection across distributed environments. Existing federated learning approaches for intrusion detection have critical architectural and methodological limitations: traditional federated approaches using deep learning methods like LSTM and CNN cannot capture structural patterns as these architectures are not designed to model network graph […]
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An Integrated Methodology for Optimizing Electrical Cable Path in Building Construction
The optimization of cable paths is a crucial challenge in building construction, where numerous technically feasible designs exist, each with significant costs and efforts. Finding the optimal cable route, particularly in complex buildings, is considered a critical decision. Various shortest path algorithms can be employed to identify the optimal path. However, not all algorithms perform […]
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Preliminary Analysis of How Trust Influences Information Sharing in Collaborative Decision Making
This study examines how trust and collaboration duration influence information sharing in collaborative decision-making. Data from over 60 engineering students were analysed using validated scales. The results show a strong positive relationship between trust and information sharing (Pearson’s r(61) = 0.75, p < 0.001). Information sharing rises with collaboration duration, although gender moderates this effect: […]
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On the contribution of virgin cork treatment in improvement of lightweight concrete performances
The use of cork aggregates in development of biobased concretes constitutes a promising solution. However, because of their chemical composition and surface characteristics, enhancing their compatibility with cement remains challenging. This study investigates, for the first time, the contribution of virgin cork treatment in improvement of lightweight concrete performances. The experimental work was carried out […]
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Reconstruction-Based Methods for Multivariate Time Series Anomaly Detection : A Review and Taxonomy
Reconstruction-based methods have become a central paradigm for unsupervised multivariate time series anomaly detection (MTSAD), especially in the context of cyber-physical and industrial control systems. Their ability to learn normal patterns and detect deviations without supervision makes them highly suitable for safety-critical environments. In this work, we conduct a structured review of recent deep learning […]
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The CG-MER dyadicmultimodal dataset for spontaneous french conversations: annotation, analysis and assessment benchmark
Emotion recognition is crucial for enhancing human-computer interaction systems. However, the development of robust methodologies for French emotion recognition is hindered by the scarcity of labeled, interactive multimodal datasets. In this work, we outline the acquisition and annotation procedures and provide an evaluation benchmark for the Card Game-based Multimodal EmotionRecognition (CG-MER)dataset thatwedesigned to capture spontaneous […]
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Information Fusion for Real-Time Occupancy Estimation Using CO2 Dynamics and PIR Sensors in Smart Building
Real-time estimation of occupants number in buildings is crucial for managing and reducing the energy consumption of HVAC systems. Currently, estimation is mainly performed using black box models. These models require large datasets with ground truth values, which are often unavailable. Due to the difficulty to dynamically modeling occupancy change, an approach combining gray box […]