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stat.ME2024
Physics-Guided Inverse Regression for Crop Quality Assessment
David Shulman, Assaf Israeli, Yael Botnaro +6
We present an innovative approach leveraging Physics-Guided Neural Networks (PGNNs) for enhancing agricultural quality assessments. Central to our methodology is the application of…
stat.ME2023
Model Selection for Ordinary Differential Equations: a Statistical Testing Approach
Itai Dattner, Shota Gugushvili, Oleksandr Laskorunskyi
Ordinary differential equations (ODEs) are foundational in modeling intricate dynamics across a gamut of scientific disciplines. Yet, a possibility to represent a single phenomenon…