Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...

Introduction: Subclinical mastitis in dairy cows carries substantial economic, animal welfare, and biosecurity implications. The identification of subclinical forms of the disease is routinely ...

Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...

Abstract: This paper proposes a nonlinear regression model of a microelectromechanical systems capacitive accelerometer, targeted to be used in tilt sensing and low-g motion-tracking applications. The ...

1 Department of Statistics, College of Arts and Science, University of Benghazi, Benghazi, Libya. 2 Department of Mathematics, College Arts and Science, University of Benghazi, Benghazi, Libya. 3 ...