Publications
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Predictive Maintenance for Smart Buildings: Balancing QoS and Cost Efficiency
The rapid advancement of sensing technologies and connectivity has revolutionized predictive maintenance (PdM), particularly for smart buildings (SB). Despite these advancements, implementing data-driven approaches faces challenges, mainly due to scarce failure data and the SB systems complexity. In this paper, we propose a cooperative multi-agent reinforcement learning (RL) based approach to address these challenges in […]
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Biobased materials as a robust solution for building renovation
Bio-based materials like wood, straw, and hemp, offer a sustainable solution to reducing carbon footprints and confronting climate change in construction. These materials not only lower the environmental impact and emissions but also improve insulation, aligning with the circular economy and life cycle assessment goals. Their use addresses the construction sector’s high energy demand and […]
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Enhanced Calibration of a Laser Profiler Sensor for 3D Inspection and Reconstruction
In recent decades, inspection and three-dimensional reconstruction of gas and water pipes have required high-precision sensors capable of operating in confined and low-texture environments, which presents challenges to traditional sensing technologies. This paper presents the design of both hardware and software for a laser profiler sensor, introducing a novel approach to calibrating the sensor to […]
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Parametric analysis and new performance correlation of an innovative system for green hydrogen, oxygen, heat, and electricity production: Application in Pau
Multi-generation systems powered by renewable energy sources are positioned as promising solutions to reduce the carbon footprint. This work proposes and analyses an innovative system capable of simultaneously generating green hydrogen, electrical energy, and thermal energy. The system combines a proton exchange membrane (PEM) electrolyser with photovoltaic thermal (PVT) collectors using heat pipes (PVT/HP). A […]
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Solar-Enhanced ocean thermal energy conversion for green liquid hydrogen production
A design, simulation, and optimization of a solar-enhanced ocean thermal energy conversion system for the simultaneous production of power and liquid hydrogen are proposed. This study explores a novel approach to enhancing ocean thermal energy conversion performance by integrating solar thermal collectors with nanofluids, thereby augmenting the exergy efficiency and system economics. Incorporating solar thermal […]
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Toward a Predictive Maintenance: Implementing an Innovative Maintenance System for Manufacturing Production Lines Based on New Technologies
The rise of “big data” has been profoundly transformed the landscape of the manufacturing sector, putting pressure on companies’ competitiveness and making the effective utilization of this vast data a critical imperative for efficient maintenance. Therefore, predictive maintenance plays an essential role in meeting these challenges, anticipating maintenance needs and enhancing equipment durability. This paper […]
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Green hydrogen production and solar to hydrogen ratio using innovative and integrated bifacial solar photovoltaics and cool roof technologies
emissions from the energy sector and accelerating the clean energy transition. Primarily, the high cost of electricity generation from renewable sources and the low efficiency of water electrolyzers contribute to the high cost. To increase the efficiency of electrolyzer, decrease the price of renewable electricity, and increase the power output of solar PV systems, new […]
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Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting
Selective laser melting (SLM) is an additive manufacturing technique formetallic materials, currently implemented in different industrial applications. Among the various materials, 316L stainless steel (316L SS) has been widely investigated by this process. However, achieving optimal manufacturing quality is challenging due to the large number of parameters that affect the final product. Traditional methods for […]
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Optimized cooperative vehicle routing in multi-depot collection systems for circular economy: Model development and case study
Manufactured products and used raw materials should be reprocessed and reutilized to ensure sustainability in the context of the circular economy. Optimized waste collection and management play a crucial role in establishing effective circular economy practices. A collaborative waste collection system is one of the pillars for optimizing the entire waste collection process. Collaborative waste […]
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New insights on rheology, durability and mechanical and thermal properties of polyester and steel fiber-reinforced Self-Compacting Concretes
Self-compacting concrete improves fresh-state fluidity while maintaining mechanical properties, and presents an increasing research interest in fiber incorporation. However, the effects of fibers on rheological behavior and durability remain insufficiently studied in existing literature. This study provides new insights on the effect of polyester and steel fibers on the rheological, mechanical, durability, microstructural, and thermal […]
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A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease
Facial expressions are a critical form of nonverbal communication, conveying a wide range of emotions. Recent advancements in artificial intelligence and computer vision have led to the development of deep learning methods, particularly convolutional neural networks, which are highly effective in facial emotion recognition. This paper presents EmoNeXt, an advanced deep learning framework for FER […]
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Fundamentals of Quantum Programming
This chapter provides an introduction to Qiskit, an open-source software frame- work for quantum computation that was developed by IBM. Its purpose is to simplify the process of quantum programming for individuals of all skill levels. This chapter explores the complexities of quantum programming by explaining the theoretical foundations and offering practical illustrations of quantum […]
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