AIMC Topic: Least-Squares Analysis

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Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava.

The plant genome Nov 8, 2023
This study focuses on meeting end-users' demand for cassava (Manihot esculenta Crantz) varieties with low cyanogenic potential (hydrogen cyanide potential [HCN]) by using near-infrared spectrometry (NIRS). This technology provides a fast, accurate, a...
Spectroscopy, Near-Infrared Support Vector Machine Algorithms Manihot Hydrogen Cyanide Least-Squares Analysis Plant Roots Machine Learning
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Understanding consumers' intentions to purchase smart clothing using PLS-SEM and fsQCA.

PloS one Sep 19, 2023
With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers' individualized demands in various areas. This paper aims to construct a model...
Intention Latent Class Analysis Smart Materials Artificial Intelligence Least-Squares Analysis
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Deviation of peak hours for metro stations based on least square support vector machine.

PloS one Sep 13, 2023
The station-level ridership during the peak hour is one of the key indicators for the design of station size and relevant facilities. However, with the operation of metro system, it cannot be ignored that, in many cities, the station peak and the cit...
Least-Squares Analysis Support Vector Machine Cities
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Identifying the active ingredients of carbonized Typhae Pollen by spectrum-effect relationship combined with MBPLS, PLS, and SVM algorithms.

Journal of pharmaceutical and biomedical analysis Aug 1, 2023
Typhae Pollen (TP) and its carbonized product (carbonized Typhae Pollen, CTP), as cut-and-dried herbal drugs, have been widely used in the form of slices in clinical settings. However, the two drugs exhibit a great difference in terms of their clinic...
Algorithms Animals Support Vector Machine Flavonoids Rats Hemostatics Least-Squares Analysis
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Sparse solution of least-squares twin multi-class support vector machine using ℓ and ℓ-norm for classification and feature selection.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2023
In the realm of multi-class classification, the twin K-class support vector classification (Twin-KSVC) generates ternary outputs {-1,0,+1} by evaluating all training data in a "1-versus-1-versus-rest" structure. Recently, inspired by the least-square...
Support Vector Machine Machine Learning Least-Squares Analysis
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Dynamic parameter identification and adaptive control with trajectory scaling for robot-environment interaction.

PloS one Jul 13, 2023
To improve the force/position control performance of robots in contact with the environment, this paper proposes a control scheme comprising dynamic parameter identification, trajectory scaling, and computed-torque control based on adaptive parameter...
Gene-Environment Interaction Algorithms Robotics Least-Squares Analysis Computer Simulation
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Discrimination of wheat flour grade based on PSO-SVM of hyperspectral technique.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 19, 2023
Rapid detection of wheat flour grade played an important role in the food industry. In this work, hyperspectral technology was used to detect five types of wheat flour. An analysis model was established based on the reflectance of samples at 968 ∼ 25...
Spectroscopy, Near-Infrared Algorithms Flour Least-Squares Analysis Support Vector Machine Triticum
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Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.

IEEE transactions on cybernetics Jun 15, 2023
Fuzzy membership is an effective approach used in twin support vector machines (SVMs) to reduce the effect of noise and outliers in classification problems. Fuzzy twin SVMs (TWSVMs) assign membership weights to reduce the effect of outliers, however,...
Least-Squares Analysis Fuzzy Logic Support Vector Machine
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Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study.

Sensors (Basel, Switzerland) Jun 7, 2023
Subsurface inclusions are one of the most common defects that affect the inner quality of continuous casting slabs. This increases the defects in the final products and increases the complexity of the hot charge rolling process and may even cause bre...
Least-Squares Analysis Forecasting Neural Networks, Computer
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Principal component analysis-multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 29, 2023
Oxidative desulfurization (ODS) of diesel fuels has received attention in recent years due to mild working conditions and effective removal of the aromatic sulfur compounds. There is a need for rapid, accurate, and reproducible analytical tools to mo...
Spectroscopy, Fourier Transform Infrared Least-Squares Analysis Principal Component Analysis Neural Networks, Computer Oxidative Stress Sulfur Compounds Sulfones
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