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-Reflective Sensor Oculography (PSOG), addressing calibration and cross-user generalization challenges through the use of hypernetworks. PSOG signals are highly sensitive to geometric, anatomical, and
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. IRT relies on statistical models in which an unobservable quantity—the latent variable—represents the ability or trait score. However, this latent variable is not uniquely defined, as an infinite number
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | about 2 months ago
Description This research project aims to develop a new artificial intelligence model for dense scene understanding from images, that is, for estimating multiple geometric and physical properties. The key
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inspection planning, programming, precision data acquisition, complex geometric analysis and reporting. Theory and implementation of inspection methodologies including at least two of: non-contact measurement
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account of the history of geometric mechanics is given in these slides: https://klasmodin.github.io/assets/pdf/modin-geometric-mechanics-lund-2023.pdf More posts related to our research are available here
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stresses. While effective, this mechanism relies on energy-consuming and irreversible adhesion. A new and fascinating paradigm has recently emerged: geometric cohesion, the spontaneous emergence
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stresses. While effective, this mechanism relies on energy-consuming and irreversible adhesion. A new and fascinating paradigm has recently emerged: geometric cohesion, the spontaneous emergence
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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/Associate Professor (Tenure Track) in Mathematics starting on August 1, 2026, or as soon as possible after that. According to the tenure track model at the University of Jyväskylä , the position
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and