Publications
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Indoor Air Temperature and Occupant Behavior in Classroom of higher education building in Mediterranean climate
Data collection Include the measurement of indoor and outdoor environmental parameters (air temperature and relative humidity) and occupant interactions with building systems (window and door status: open/closed, blind state, and thermostat/air-conditioning adjustment). The outdoor air temperature, relative humidity, and wind speed were collected as potential control variables to indicate different outdoor conditions. The indoor air […]
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Digital Twin of an education modular smart building
As described by Nguyen and Adhikari [1], the digital twin (DT) is a tool that is expected to address issues link to the interactions between building monitored data and decisions to manage effectively the building during its entire life cycle. Nevertheless, the development and the use of the DT is not always natural since it […]
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A Secured Blockchain Framework for Healthcare Data Management System
In the healthcare system, electronic medical records are very critical, and they must be authenticated and verified. During the medical check-up, a large amount of patient medical data is generated which includes reports related to blood, lifethreatening diseases, and personal information such as credit card numbers and addresses. Any privacy breach in patient medical records […]
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Fully Residual Unet-based Semantic Segmentation of Automotive Fisheye Images: a Comparison of Rectangular and Deformable Convolutions
Semantic image segmentation is an essential task for autonomous vehicles and self-driving cars where a complete and real-time perception of the surroundings is mandatory. Convolutional Neural Network approaches for semantic segmentation standout over other state-of-the-art solutions due to their powerful generalization ability over unknown data and end-to-end training. Fisheye images are important due to their […]
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D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on Transformer for Assessment of Patient Physical Rehabilitation
This paper tackles the challenge of automatically assessing physical rehabilitation exercises for patients who perform the exercises without clinician supervision. The objective is to provide a quality score to ensure correct performance and achieve desired results. To achieve this goal, a new graph-based model, the Dense Spatio-Temporal Graph Conv-GRU Network with Transformer, is introduced. This […]
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Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking
In both professional and private life, there is a growing need for public speaking skills. With this background, our research project’s long-term aims are to develop tools that can analyse public speeches and provide useful feedback. The impact of audio and visual characteristics on the automatic analysis of speech quality has been widely explored in […]
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CAPSULE TRANSFORMER NETWORK FOR DYNAMIC HAND GESTURE RECOGNITION USING MULTIMODAL DATA
In recent years, deep learning techniques have achieved remarkable success in video analysis and more especially in action and gesture recognition. Even though convolutional neural networks (CNNs) remain the most widely used models, they have difficulty in capturing the global contextual information involving spatial and temporal domains or intermodality due to the local feature learning […]
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A Conceptual Framework for MaturityEvaluation BIM-based AR/VR Systems
Maturity evaluation of BIM-based Augmented Reality (AR) and Virtual Reality (VR) systems is a challenging issue that requires ensuring their effectiveness and reliability. However, the lack of appropriate evaluation methods, tools, and standards for these systems makes this task even more complex. In this context, this paper proposes a conceptual framework for evaluating the maturity […]
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Contribution to Maintenance 4.0 by Monitoring and Prognosis of Industrial Installations by Digital Twin: Case Study on Wastewater Filtration Pilot
The digital solutions have taken an advance during the digital transition in the industrial development, the use of new technologies has allowed to better understand the behavior of the different parts of an industrial installation and to verify the interactions between the adjustment parameters and the optimal functioning of the production units and their impact […]
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Towards the Development of a Digital Twin for Micro Learning Factory: A Proof of Concept
The Learning Factory concept has gained importance in recent years to improve manufacturing education and prepare students for the workforce. Digital Twin (DT) technology is considered as a crucial tool to enhance the Learning Factory experience. Due to the novelty of this topic, there is limited research on developing DTs specifically for this purpose. Currently, […]
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Hybrid convolutional transformer-based network model for finger vein identification
In recent years, finger vein (FV) recognition has garnered significant attention due to its inherent advantages, such as enhanced security, convenience, and the ability to discern living organisms. Notably, use of vision transformers in FV recognition has yielded promising results, primarily owing to their adeptness in capturing extensive spatial relationships within images. Nevertheless, transformers necessitate […]
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Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems
The emergence of the Internet of Medical Things (IoMT) has brought together developers from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient diagnosis and treatment using mobile-device-collected data. However, the utilization of traditional AI systems raises concerns about patient privacy. To address this issue, we present a privacy-enhanced approach for […]