Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more ...

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...

Ruihua Liu received his B.E. (1985), M.E. (1988) and Ph.D. (1994) in Engineering Science with a specialization in control theory and application from China's Nankai University. He came to the U.S. in ...

Abstract: This article addresses the tracking control problem for a class of nonlinear systems described by Euler–Lagrange equations with uncertain system parameters. The proposed control scheme is ...

Department of Engineering Technology, Savannah State University, Savannah, GA, USA. Our analysis reveals that most claimed applications of Grover’s algorithm fall into one of several categories: Those ...

While iterative calibration of computational models is a fundamental aspect of digital twins, it has been largely overlooked. Instead of focusing on parameter identification for static models, the ...

In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...

To enhance the cost-effectiveness of vascular robotic systems in clinical settings, this study constructs an integrated forecasting-optimization framework for long-term resource planning. A weekly ...

After COVID-19, most medical centers were faced with the double pressure of increasing number of patients and limited medical human resources, resulting in the crowding and shortage of hospital beds 1 ...

Individual survival and evolutionary selection require biological organisms to maximize reward. Economic choice theories define the necessary and sufficient conditions, and neuronal signals of ...