This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within open-pit mining. Since hauling accounts for up to 60% of total operational costs, ...
Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...
Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, ...
Gadget Review on MSN
Scientists create robot centaur legs that make heavy lifting a breeze
Robot legs developed by SUSTech researchers reduce walking effort by 35% and cut foot pressure in half when carrying heavy ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Abstract: In this article, we propose a self-triggered distributionally robust model predictive control algorithm for linear discrete systems with state chance constraints and unbounded stochastic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results