A physical modelling library for SuperCollider
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Updated
Jan 8, 2023 - Python
A physical modelling library for SuperCollider
This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
Simulator based on the real physical phenomenons acting in a wildfire, deals with wind, heat capacities..an more.
Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in Atmospheric Science)
[KDD 2022] T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling
A comprehensive simulation platform integrating vehicle dynamics, environment emulation, body controls, and battery management for holistic testing and validation of automated vehicles.
Implementation of SAMPLE (Spectral Analysis for Modal Parameter Linear Estimate)
Modelling electrical motor dynamics using neural networks.
!MOVED TO GITLAB.COM! Abstract classes to set up and run a simple numerical model in Python
Applying Machine Learning to Predicting Geyser Eruption Times
Generate realistic reference speed and load trajectories for electrical motor.
Simplistic model of the thrust vector control system of a launch vehicle with propellant tank slosh.
Calculates the form factor coeffcient (F) numerically, for use in determination of material shear moduli
Simple interactive simulation of Total Internal Reflection (TIR) usefull as a teaching resource.
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