Publications
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SUPERVISED LEARNING BASED APPROACH FOR TURBOFAN ENGINES FAILURE PROGNOSIS WITHIN THE BELIEF FUNCTION FRAMEWORK
Recent developments in maintenance modeling, powered by data-driven approaches such as Machine Learning (ML), have enabled a wide range of applications. For example, industrial systems coming with a huge operating database make ML an ideal candidate for their predictive maintenance (PdM). PdM is the process of predicting malfunctions using data from equipment monitoring and process […]
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A stochastic approach for extracting community-based backbones
Large-scale dense networks are very parvasive in various fields such as communication, social analytics, architecture, bio-metrics, etc. Thus, the need to build a compact version of the networks allowing their analysis is a matter of great importance. One of the main solutions to reduce the size of the network while maintaining its characteristics is backbone […]
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A Survey of Artificial Intelligence Based WSNs Deployment Techniquesand Related Objectives Modeling
Recent advances in hardware and communication technologies have accelerated the deployment of billions of wireless sensors. This transformation has created a wide range of applications adapted to the evolving trends of our daily life requirements. Wireless sensor networks (WSNs) could be deployed in several target areas including buildings, forests, oceans, and smart cities. Nevertheless, finding […]
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AM modular plant for on-site production
A dditive manufacturing is a leading technology that is offering flexibility in production : on site production, close to the needs therefore reducing logistics and lead time . Movable solutions exist to deploy an additive manufacturing system on site using container , which is easy to transport N evertheless, there was no movable solution i […]
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Leader-Assisted Client Selection for Federated Learning in IoT via the Cooperation of Nearby Devices
Federated learning is a form of distributed learning in which each participating node is handled as a client and is responsible for the training of a model using only its local data. The participation of inappropriate clients, on the other hand, may have a substantial impact on reliability, which would entail a significant consumption of […]
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Building Occupancy Detection using Machine Learning-based Approaches: Evaluation and Comparison
Building occupants and systems have huge impact on total energy use of the building due to their interaction with the building envelope and systems. The human factor and their behavior play a significant role in this process, and their influence must be considered. As a result, occupant behavior analysis and their detection, estimation, and prediction […]
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View Selection for Industrial Object Recognition
The last industrial revolutions and the digital transformation have led to a rise of robotics and to the emergence of the concept of digital twin. A major challenge falls within the update of this virtual representation, so that the supervision operator and the system itself can take appropriate decisions. One way to achieve that is […]
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Collaborative Mobile Robotics for Semantic Mapping A Survey
Ensuring safety in human–robot collaboration is one of the main challenges in mobile robotics today. Semantic maps are a potential solution because they provide semantic knowledge in addition to the geometric representation of the environment. They allow robots to perform their basic tasks using geometric representation, mainly localization, path planning and navigation, and additionally allow […]
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Effect of curing temperature on the early and later ages behaviour of Metakaolin blended cement mortars: hydration heat and compressive strength
Cement is one of the main sources of negative environmental impact of concrete. One way to reduce this impact of concrete could be through the reduction of the cement content. This could be achieved by replacing a part of cement with mineral additives such as fly ash, blastfurnace slag, silica fume, metakaolin (MK), etc. in […]
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Multi-Agent Cooperative Camera-Based Evidential Occupancy Grid Generation
About a decade ago the idea of cooperation has been introduced to self-driving with the aim to enhance safety in dangerous places such as intersections. Infrastructure-based cooperative systems emerged very recently bringing a new point of view of the scene and more computation power. In this paper, we want to go beyond the framework presented […]
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A VR Training Scenario Editor for Operation in Construction Based on BIM 4D and Domain Expert Authoring
Purpose Virtual Reality based training is an efficient and promising digital tool. In the construction industry, studies have been conducted on the realization of virtual reality scenarios for construction operations, but the challenges lie in procedural scenario creation based on the knowledge and digital data of the construction project. Design/methodology/approach A new system and interface […]
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Errare humanum est? A Pilot Study to Evaluate the Human-Likeness of a AI Othello Playing Agent
Olivaw is an AI Othello playing agent which autonomously learns how to improve its gameplay by playing against itself. Some topnotch players (including former World Champions) reported that they had the impression that Olivaw’s gameplay was human-like. To better investigate the processes related to these impressions, we conducted a pilot study using the Othello Game […]
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