Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model Abstract: This study explores the implementation of advanced machine ...

From this dataset, the objective is to detect specific and semantically meaningful events, such as pass, dribble, or shoot. The proposed model consists of a convolutional autoencoder (AE) coupled with ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. Abstract “Deep neural network (DNN) inference on ...