AIMC Topic: Least-Squares Analysis

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A novel soft sensor based warning system for hazardous ground-level ozone using advanced damped least squares neural network.

Ecotoxicology and environmental safety Aug 22, 2020
Estimation of hazardous air pollutants in the urban environment for maintaining public safety is a significant concern to mankind. In this paper, we have developed an efficient air quality warning system based on a low-cost and robust ground-level oz...
Cities Environmental Monitoring Taiwan Neural Networks, Computer Algorithms Least-Squares Analysis Seasons Atmosphere Air Pollutants Air Pollution Ozone
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An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning.

Computational and mathematical methods in medicine Aug 3, 2020
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons, causing transient brain dysfunction. The seizures of epilepsy have the characteristics of being sudden and repetitive, which has seriously endangered patients' health...
Regression Analysis Epilepsy Humans Algorithms Nonlinear Dynamics Least-Squares Analysis Machine Learning Seizures Diagnosis, Computer-Assisted Mathematical Concepts Discriminant Analysis Signal Processing, Computer-Assisted Computational Biology
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Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil.

Food chemistry Jul 24, 2020
In order to distinguish different vegetable oils, adulterated vegetable oils, and to identify and quantify counterfeit vegetable oils, a method based on a small sample size of total synchronous fluorescence (TSyF) spectra combined with convolutional ...
Neural Networks, Computer Support Vector Machine Sesame Oil Food Quality Fraud Plant Oils Spectrometry, Fluorescence Least-Squares Analysis
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Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.

Medical & biological engineering & computing Jul 16, 2020
Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-computer interface (BCI). However, labeled EEG samples are generally scarce and expensive to collect, while unlabeled samples are considered to be abun...
Biomedical Engineering Least-Squares Analysis Electroencephalography Benchmarking Algorithms Supervised Machine Learning Humans Databases, Factual Brain-Computer Interfaces Neural Networks, Computer Support Vector Machine Imagination
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Regularized least squares locality preserving projections with applications to image recognition.

Neural networks : the official journal of the International Neural Network Society May 21, 2020
Locality preserving projection (LPP), as a well-known technique for dimensionality reduction, is designed to preserve the local structure of the original samples which usually lie on a low-dimensional manifold in the real world. However, it suffers f...
Pattern Recognition, Automated Least-Squares Analysis Linear Models Humans Artificial Intelligence Databases, Factual
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Spectral resolution of quaternary components in a sinus and congestion mixture; Multivariate algorithms to approach extremes of concentration levels.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 16, 2020
Sinus and congestion mixture of three drugs and an impurity was studied for their spectral resolution using four multivariate algorithms. The studied drugs present in extremes of low and high concentrations. Low concentration levels of phenylephrine ...
Calibration Multivariate Analysis Acetaminophen Neural Networks, Computer Algorithms Least-Squares Analysis
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Deep learning for computational structural optimization.

ISA transactions Apr 10, 2020
We investigate a novel computational approach to computational structural optimization based on deep learning. After employing algorithms to solve the stiffness formulation of structures, we used their improvement to optimize the structural computati...
Algorithms Reproducibility of Results Deep Learning Least-Squares Analysis Image Interpretation, Computer-Assisted Stress, Mechanical Stochastic Processes Neural Networks, Computer
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The optimized algorithm based on machine learning for inverse kinematics of two painting robots with non-spherical wrist.

PloS one Apr 3, 2020
This paper studies the inverse kinematics of two non-spherical wrist configurations of painting robot. The simplest analytical solution of orthogonal wrist configuration is deduced in this paper for the first time. For the oblique wrist configuration...
Machine Learning Algorithms Least-Squares Analysis Robotics Motion Movement
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Simultaneous ultra-trace quantitative colorimetric determination of antidiabetic drugs based on gold nanoparticles aggregation using multivariate calibration and neural network methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 12, 2020
In this study, a simple and rapid method was investigated for the simultaneous ultra-trace colorimetric determination of Metformin (MET) and Sitagliptin (STG) based on the aggregation of gold nanoparticles (AuNPs). The Morphology and size distributio...
Spectrophotometry, Ultraviolet Sitagliptin Phosphate Metal Nanoparticles Colorimetry Least-Squares Analysis Hypoglycemic Agents Metformin Calibration Neural Networks, Computer Gold Reproducibility of Results Multivariate Analysis Analysis of Variance
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A convolutional neural network-based model observer for breast CT images.

Medical physics Feb 29, 2020
PURPOSE: In this paper, we propose a convolutional neural network (CNN)-based efficient model observer for breast computed tomography (CT) images.
Signal-To-Noise Ratio Normal Distribution Least-Squares Analysis Neural Networks, Computer Breast Tomography, X-Ray Computed Image Processing, Computer-Assisted
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