Publications associées à Space Odyssey - Efficient Exploration of Scientific Data

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Accurate forecasting of photovoltaic (PV) power production is crucial for the integration of more renewable energy sources into the power grid. PV power production is highly intermittent, due to the stochastic cloud behaviour and cloud dynamics. Previous w ...

EPFL2024

Aggregating Spatial and Photometric Context for Photometric Stereo

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Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

EPFL2024

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

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The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

EPFL2024

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The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

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Transfer learning application of self-supervised learning in ARPES

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Diffusion of energy technologies: the role and dynamics of supply-side information networks

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The diffusion of energy technologies is key for supporting the energy transition. While social influence and peer effects have been extensively studied on the demand side and found to impact adoption, less focus has been given to the role of information ne ...

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Snowfall microphysics: a dual-frequency and Doppler spectral radar perspective

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The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

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GALET: A deep learning image segmentation model for drone-based grain size analysis of gravel bars

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In this study, we present the deep learning image segmentation model for drone-based grain size analysis of gravel bars called GALET. The objectives are to quantify the performance of the code and to test its applicability in river research and management. ...

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Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area

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Introduction ...

PUBLIC LIBRARY SCIENCE2022