GitHub

motion-planning

State-machine mobile robot that detects colored objects and sorts them into matching collection zones using roadmap planning and wall-avoidance — modeled and validated in MATLAB/Simulink (Stevens ME ...
SciELO

Solving Weighted Orthogonal Procrustes Problems via a Projected Gradient Method

This paper proposes a family of line-search methods to deal with weighted orthogonal procrustes problems. In particular, the proposed family uses a search direction based on a convex combination ...
C&EN

PINN Model of Diffusion Coefficient Identification Problem in Fick’s Laws

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. This study ...
Frontiers

Patient-specific air puff-induced loading using machine learning

Introduction: The air puff test is a contactless tonometry test used to measure the intraocular pressure and the cornea’s biomechanical properties. Limitations that most challenge the accuracy of the ...
IEEE

UAV Attitude Estimation Based on Improved Complementary Filtering Algorithm

Abstract: Aiming at the problem that EKF and UKF algorithms based on Kalman filter algorithm framework require a large amount of computation and have high requirements on the processor chip, a UAV ...
Nature

Multi-factor settlement prediction around foundation pit based on SSA-gradient descent model

Considering that the utilization of surface space is close to saturation, an increasing number of functional buildings are developing in the direction of super large and high, so deep foundation pit ...
GitHub

NMFLibrary: Non-negative Matrix Factorization Library

NMF solvers written by MATLAB, appplication MATLAB flies using NMF solvers, and your comments and suggestions. C.-J. Lin, "On the convergence of multiplicative update algorithms for nonnegative matrix ...
PNAS

Learning probabilistic neural representations with randomly connected circuits

We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...
Frontiers

A Stochastic Approach to the Synchronization of Coupled Oscillators

This paper deals with an optimal control problem associated with the Kuramoto model describing the dynamical behavior of a network of coupled oscillators. Our aim is to design a suitable control ...
Scientific Research Publishing

An Efficient Projected Gradient Method for Convex Constrained Monotone Equations with Applications in Compressive Sensing ()

In this paper, a modified Polak-Ribière-Polyak conjugate gradient projection method is proposed for solving large scale nonlinear convex constrained monotone equations based on the projection method ...
Scientific Research Publishing

Calibration Method of Magnetometer Based on BP Neural Network ()

Due to the influence of processing technology and environmental factors, there are errors in attitude measurement with the three-axis magnetometer, and the change of parameters during the operation of ...