Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

The study explored the impact of four widely used smoothing techniques - rolling mean, exponentially weighted moving average (EWMA), Kalman filter, and seasonal-trend decomposition using Loess (STL) - ...

Neurodegenerative diseases like Alzheimer's are a growing concern in the U.S., with over 7 million Americans living with ...

Google thought that a similar technology could reduce the time spent writing ... These were then input to machine-learning algorithms. Watson came up with its own method for using the data to ...