Abstract: In mobile systems or the failure detection applications, the output for some input event is state-dependent and nondeterministic after intermittent sensor failures or measurement ...
Abstract: This paper studies the control problem of an uncertain nuclear refueling machine (RM) system in the presence of uncertainty, external disturbance, input backlash, and asymmetric output ...
Traditional single-function packing equipment can no longer meet the need for diversified packaging formats, frequent product changes, and customized batch runs. This shift has paved the way for ...
Biological systems can process information without expending energy, and the limit to what can be achieved in this way is known as a Hopfield barrier. We characterize this barrier for the sharpness of ...
In the upcoming v2 release of the Cartesi Rollups SDK, inputs and outputs will be encoded as Solidity function calldata. This package aims to show front-end developers how inputs and outputs can be ...
Is there any plan to build a basic framework that supports machine learning methods and introduce some machine learning algorithms? For example, using the linear regression method, we need two ...
Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
We present a novel machine learning-based approach to generate fast-executing virtual radiofrequency quadrupole (RFQ) particle accelerators using surrogate modelling. These could potentially be used ...
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