Austin B. Schmidt
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View article: An Algorithm for Modelling Differential Processes Utilising a Ratio-Coupled Loss
An Algorithm for Modelling Differential Processes Utilising a Ratio-Coupled Loss Open
We introduce an algorithm for combining two sources of similar data within a loss function to use in an optimisation procedure. The technique involves training model parameters on a ratio of two data sources to encourage convergence on met…
View article: Forecasting Buoy Observations Using Physics-Informed Neural Networks
Forecasting Buoy Observations Using Physics-Informed Neural Networks Open
Methodologies inspired by physics-informed neural networks (PINNs) were used to forecast observations recorded by stationary ocean buoys. We combined buoy observations with numerical models to train surrogate deep learning networks that pe…
View article: Machine Learning Based Restaurant Sales Forecasting
Machine Learning Based Restaurant Sales Forecasting Open
To encourage proper employee scheduling for managing crew load, restaurants need accurate sales forecasting. This paper proposes a case study on many machine learning (ML) models using real-world sales data from a mid-sized restaurant. Tre…
View article: Machine Learning based Restaurant Sales Forecasting
Machine Learning based Restaurant Sales Forecasting Open
To encourage proper employee scheduling for managing crew load, restaurants need accurate sales forecasting. We collect real-world restaurant sales data to build a plethora of Machine Learning (ML) models to review their performances on su…