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Neural Network (MLP) for Time Series Forecasting in Practice | by Daniel J. TOTH | Jul, 2024
Towards Data Science
Time series forecasting is a very well known data science problem, and you can get spectacular results with the right tools: feature engineering and MLP.
1 month ago
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions
BMC Medical Research Methodology
ARIMA modelling is a useful tool to evaluate the impact of large-scale interventions when other approaches are not suitable.
41 months ago
Prediction of Filamentous Sludge Bulking using a State-based Gaussian Processes Regression Model
Nature
Activated sludge process has been widely adopted to remove pollutants in wastewater treatment plants (WWTPs). However, stable operation of...
96 months ago