IEEE

Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series

Abstract: In the domain of water, companies are deploying innovative infrastructures to instrument buildings with smart meters that collect in particular consumption readings with a fine granularity.
IEEE

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
Morning Overview on MSN

Uranus and Neptune might be misclassified and their cores tell the story

For decades, Uranus and Neptune have been filed neatly into the “ice giant” drawer, shorthand for worlds built mostly from ...