Publications
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Green hydrogen production using bifacial solar photovoltaics integrated with high-albedo roof coating & micro-inverter
Green hydrogen is a key factor for the decarbonization of the energy sector and to foster the clean energy transition but has the highest cost when compared to grey and blue hydrogen. This is due to the high cost of the generation of energy from renewable sources and the efficiency of the water electrolyzer. Future […]
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Split-Federated Reinforcement Learning for IoMT Data and Task Management in Edge-Fog-Cloud Infrastructure
Workload management in edge-fog-cloud infrastructure for the Internet of Medical Things (IoMT) involves significant costs and difficulties, primarily due to the challenge of managing tasks and the unpredictability of data generated by IoMT devices while processing real-time patient health states. Deep Reinforcement Learning (DRL) shows promise in efficiently addressing dynamic data placement and task offloading. […]
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Impact of considering virgin cork absorption on hydric properties of biobased concrete
Thanks to their excellent transfer properties, the use of cork aggregates in designing of biobased concretes constitutes nowadays one of the most promising solution to reduce the building environmental impact. However, their elevated water absorption capacity provokes numerous problems during preparation of concretes, affecting thus the concrete performances. This study aims to explore the impact […]
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Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Recommender System
This paper introduces a cutting-edge method for enhancing recommender systems through the integration of generative self-supervised learning (SSL) with a Residual Graph Transformer. Our approach emphasizes the importance of superior data enhancement through the use of pertinent pretext tasks, automated through rationale-aware SSL to distill clear ways of how users and items interact. The Residual […]
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Strategic Predictive Maintenance for Internet System Security and Risk Management: A Roadmap
Recent technological advancements have profoundly transformed companies and businesses, enabling them to achieve high levels of performance. Today, system and network infrastructures are crucial and indispensable, requiring continuous corrections and maintenance to ensure superior security, reliability, and availability. However, various risks related to software, hardware, and malicious threats can cause failures, attacks, data loss, service […]
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Finite-Dimensional Adaptive Observer Design for Reaction Diffusion Equation With Large Output Delay
The goal of this paper is to present a new finite-dimensional adaptive observer for some uncertain linear parabolic systems with delayed measurements. The observer is based on the modal decomposition approach and uses a classical persistent excitation condition. We prove that by using a finite-dimensional state predictor, we ensure exponential convergence of both states parameters […]
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EnergysavingsandcoverageoptimizationinedgeWiFisensordeployment for buildings: A multi-objective evolutionary approach
Edge sensor nodes are used to ensure informed decisions in several fields, including smart buildings, supply chain management, sustainability, mobile robotics in industry and logistics, and applications, including the Internet of Things (IoT). However, designing an optimal and cost-effective deployment of edge sensor nodes in a complex environment with different types of walls and interferences […]
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Developmental approach of safety in ergonomics/human factors: insights of constructed safety in six work environments
This article brings together works on the notion of constructed safety in ergonomics, carried out over the last fifteen years. Firstly, we situate this approach to safety in relation to existing models previously developed (e.g. regulated or managed safety) in regard with the development of activity-centred ergonomics. We then present six research actions in activity-centred […]
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Architecture proposal of a VR operating procedure system for construction training based on BIM and QHSE rules
This research fosters collaboration in developing VR training simulations for construction procedures using semantic web technology. It introduces SWRP, an intuitive, web-based graphic editor for QHSE rule editing, addressing the difficulties that construction experts face with SWRL. The main contribution is the VROPTS architecture, which integrates BIM, VR, and QHSE rules, as detailed in the […]
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DuoBrain-HVAC: A Hybrid Autonomous Agent for Controlling HVAC Systems
The HVAC system consumes a significant portion of building energy, contributing to CO 2 emissions. This paper presents DuoBrain-HVAC, a hybrid deep reinforcement learning agent, designed to optimize energy use by controlling a discrete (ON/OFF) air handling unit and a continuous (temperature setpoint) actuator. Simulated in an amphitheater using EnergyPlus, the hybrid agent combines DDQN […]
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New heuristic order based on tree-decomposition for solving CSPs
The Constraint Satisfaction Problem(CSP)represents a pivotal area of study within artificial intelligence, offering a broad spectrum of applications from scheduling to resource allocation. Despite significant advancements in the development of algorithms and heuristics, the efficient resolution of large and intricate CSP instances continues to pose a considerable challenge to the research community. Traditional heuristics often […]
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WiFi-Visual Data Fusion For Indoor Robot Localization
In this paper, we propose a WiFi-Visual robot localization method for limiting the unbounded error of imageonly localization due to visual environment similarity. The localization problem is modeled as a classification problem based on the WiFi-Visual data collected at labelled positions. The heterogeneous WiFi-Visual data is harmonized by representing the WiFi features in image form […]
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