Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
The field of mechatronics has evolved into a multidisciplinary arena where simulation, modelling and programming work in concert to optimise system performance, ensure reliability and reduce ...
Acclaimed as a mathematical genius, Ada Lovelace is said to have understood the potential of the first computer blueprints better than their inventor. A serendipitous friendship with the mathematician ...
Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
Abstract: Fighter pilots train maneuvers and missions in simulators with and against simulated entities that must exhibit realistic behavior for effective training. However, current simulated entities ...
This bot is controlled by an Android app which sends commands via Bluetooth. Servo motors control a three-axis robotic arm to perform pick-and-place operations. The project simulates a basic robotic ...
Implementation of the paper Simulation-assisted machine learning for operational digital twins. In this paper we propose a method to make predictions overcoming the following problems: Not enough data ...
Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback