Modelling cable tray fires remains a complex issue, and existing models such as the FLASH-CAT model still have limitations due to the lack of information on certain input data. This paper discusses improvements in cable tray fire modelling by finding appropriate input data using an artificial intelligence (AI) technique. An AI-driven expert system ...
Published in Journal of Intelligent Systems
In the realm of image-based breast cancer detection and severity assessment, this study delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques. By investigating image processing, machine learning (ML), and deep learning (DL), the research illuminates their combined impact on transforming breast cancer diagn...
peer reviewed / In a context where training takes place both in initial courses and in lifelong continuing education, the use of games offers a way of promoting effective and sustainable learning: by its very nature, this medium is an open work in which players can become involved and give meaning to their learning. Ikigai - Games for Citizens offe...
Characterizing the microstructural behavior of materials is crucial for understanding their properties and performance. Traditional imaging methods, such as optical microscopy and electron microscopy, are effective but costly and time-consuming. Computational approaches can reduce costs and time while expanding the accessibility of microstructural ...
IntelliSAR aims to integrate AI techniques into Search and Rescue (SAR) operations, building on the foundation laid by previous SURP initiatives. IntelliSAR’s core elements include a front-end for SAR forms, a comprehensive command center dashboard, and AI-driven components designed to enhance SAR decision-making. During summer, our efforts focused...
Published in Journal of medical Internet research
As the global population ages, we witness a broad scientific and technological revolution tailored to meet the health challenges of older adults. Over the past 25 years, technological innovations, ranging from advanced medical devices to user-friendly mobile apps, are transforming the way we address these challenges, offering new avenues to enhance...
Published in Machine Learning: Science and Technology
We pursue the use of deep learning methods to improve state-of-the-art computations in theoretical high-energy physics. Planar N=4 Super Yang–Mills theory is a close cousin to the theory that describes Higgs boson production at the Large Hadron Collider; its scattering amplitudes are large mathematical expressions containing integer coefficients. I...
Deux constats peuvent être faits. Le 1e concerne l’intégration promise des IA au bloc opératoire, et cette intégration nécessite énormément de données. Le 2d est que cette intégration n’est pas si rapide qu’on l’espérait. On tentera de dégager quelques raisons de cette « lenteur », qui pour la plupart sont spécifiques au domaine de la chirurgie. Va...
International audience
