A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
Abstract: Model predictive control (MPC) has become a practical approach for implementing active safety control strategies in autonomous vehicles (AVs). This article introduces a Fast Iterative MPC ...
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
As concerns grow that autonomous AI could outpace traditional security, organizations must move past static credentials ...
Optimized control-system architecture comes with many production benefits. One of the tools for doing this is to perform a ...
A new study establishes an experimentally validated basis for predicting excitonic properties via dielectric screening.
Through Six Timely Global Premieres, the Planet Classroom Network Exposes the Critical Inflection Points Reshaping the Future ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...
The Football Power Index (FPI) is a measure of team strength that is meant to be the best predictor of a team's performance going forward for the rest of the season. FPI represents how many points ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results