GitHub

NLML_HPE: Head Pose Estimation with Limited Data via Manifold Learning

We proposed a novel deep learning approach for head pose estimation with limited training data via non-linear manifold learning called NLML-HPE. Our method is based on the combination of tensor ...
IEEE

Initial Speed Estimation Method for Induction Motors Using Regression Analysis and Self-Excited Vibration Phenomenon

Abstract: Induction motor drive systems without rotation speed sensors are already in practical use in many products. In recent years, the efficiency of induction motors has increased, and the ...
C&EN

Implementation of the QbD Approach to the Analytical Method Development and Validation for the Estimation of the Treprostinil Injection Dosage Form by RP-HPLC

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite its high cost, the role of treprostinil in managing ...
Scientific Research Publishing

Dynamic Conditional Feature Screening: A High-Dimensional Feature Selection Method Based on Mutual Information and Regression Error ()

1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...
Frontiers

Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression

1 Regional Centre of Excellence in Biomedical Engineering and E-Health, University of Rwanda, Kigali, Rwanda 2 Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia ...
C&EN

Query Mix-Max Method for FDR Estimation Supported by Entrapment Queries

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Estimating the false discovery rate (FDR) is one of ...
marktechpost

Google DeepMind Researchers Unlock the Potential of Decoding-Based Regression for Tabular and Density Estimation Tasks

Regression tasks, which involve predicting continuous numeric values, have traditionally relied on numeric heads such as Gaussian parameterizations or pointwise tensor projections. These traditional ...