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comparative data by fitting Ornstein–Uhlenbeck models with stepwise AIC. Methods in Ecology and Evolution. Klingenberg, C. P. (2016). Analyzing fluctuating asymmetry with geometric morphometrics: concepts
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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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. Specific Requirements Knowledge: Interoperability with IFC formats. Digital Twins. Evaluation of the geometric and semantic representation of the models. Relational databases. Professional Experience: As a
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 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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. 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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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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precision mechanics and opto-mechanics design and construction. Experience with industry practices and standards used in drafting, modeling, and design development/revision. Proficiency in geometric
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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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the geometric and functional flexibility of homogeneous self-assembly of individual dynamins. In addition, we will model and explore heterogeneous dynamin interactions, which have long been overlooked in