Organisation : Département Ingénierie

  • Events

    Machine Learning seminar meeting: Joint optimisation of energy harvesting and sensing of piezoelectric energy harvesters in a cable-stayed bridge based on a deep learning framework.

    Abstract:There is growing evidence that piezoelectric energy harvesters (PEHs) not only generate electricity from vibration sources, but their voltage signals can also be utilised simultaneously to sense various contexts of interest. Little is known, however, about any potential tradeoff between its energy harvesting and sensing performances within the design space of the PEH device. The…

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  • Events

    Machine Learning Seminar meeting: Unsupervised Computer Vision-Based Approach for Bridge Damage Assessment Applying Drive-by Inspection Technology

    Abstract:Over the last decade, the use of drive-by inspection technology for bridge damage assessment has been widely studied by scholars. It consists of identifying bridge damage from the response of an instrumented sensing vehicle. Most current methods are based on identifying bridge properties and supervised learning techniques. However, these approaches require data from the bridge…

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  • News

    Augmented reality applications in manufacturing

    During the 10th International Conference on Industrial Engineering and Applications which took place in April 2023 on Phuket Island, postdoctoral researcher Sri Kolla was awarded the title of excellent oral presentation for his paper “Interaction modalities for Augmented Reality applications in Manufacturing ».

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  • Events

    Machine Learning Seminar meeting: Variational Formulations for Solving PDEs with Non-Smooth Solutions using Non-Linear Surrogates: An Innovative Approach

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  • Events

    Machine Learning Seminar meeting: Learning scientific simulations with aggregation and attention-based neural networks

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  • News

    Chercheurs à l’école 2023: researchers went back to school

    From 13 to 17 March 2023, 24 researchers from the Faculty of Science, Technology and Medicine (FSTM) participated in the 12th edition of « Chercheurs à l’école » organised by the Luxembourg National Research Fund (FNR). They shared their passion and experience as researchers with secondary school students in Luxembourg.

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  • Events

    Adversarial Examples: bugs, features, or just categorical learning in a small world?

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  • Events

    Exploring the Potentials and Pitfalls of GPT Models in Scientific Research

    Abstract:In recent months, GPT models have become increasingly popular as powerful tools for natural language processing tasks, such as summarization, language translation and text generation. In this presentation, we will provide an overview of GPT models, their architecture, and how they were trained. We will also discuss the potential applications of GPT models in scientific…

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  • Events

    LuxemBERT – A Language Model for the Luxembourgish Language

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  • Events

    Introduction to Physics-Informed Neural Networks: Methods, Tools, and Trends

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