Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

The material has a unique lattice shape that allows it to twist into itself to effectively protect against a range of impact types and severities.

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...

The newest research from Southeast Asia shows AI models can predict dengue outbreaks two to four weeks in advance. In some ...

The study by researchers from Qingdao University of Technology and the Shandong Engineering Research Center of City Information Modeling introduces the URCA model, a dynamic system for evaluating how ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...