IEEE

Time-Varying Optimal Sliding-Mode Lag Formation Control for High-Order Nonlinear Multiagent Systems Based on Reinforcement Learning

Abstract: This paper considers a type of high-order nonlinear multiagent systems (MASs), and the time-varying optimal lag formation control problem for such MAS is addressed. To eliminate the ...

Why Most Retail Traders Get Pattern Reading Wrong And What It Is Actually Costing Them

Candlestick patterns alone cannot guarantee profitable trading, the article argues, citing academic research and SEBI data ...
Purdue University

Master of Science in Artificial Intelligence (AI)

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...
IEEE

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...
Purdue University

Outcomes and Objectives

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...
C&EN

New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach

Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People’s Republic of China Fujian Key Laboratory of ...