AIMC Topic: Least-Squares Analysis

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Enhancing prediction of major depressive disorder onset in adolescents: A machine learning approach.

Journal of psychiatric research Jan 9, 2025
Major Depressive Disorder (MDD) is a prevalent mental health condition that often begins in adolescence, with significant long-term implications. Indicated prevention programs targeting adolescents with mild symptoms have shown efficacy, yet the meth...
Female Male Depressive Disorder, Major Humans Machine Learning Psychiatric Status Rating Scales Least-Squares Analysis Adolescent Portugal
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Improved analysis of supervised learning in the RKHS with random features: Beyond least squares.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2025
We consider kernel-based supervised learning using random Fourier features, focusing on its statistical error bounds and generalization properties with general loss functions. Beyond the least squares loss, existing results only demonstrate worst-cas...
Neural Networks, Computer Algorithms Least-Squares Analysis Supervised Machine Learning Fourier Analysis Humans
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Trace detection of antibiotics in wastewater using tunable core-shell nanoparticles SERS substrate combined with machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 5, 2025
Surface-enhanced Raman scattering (SERS) show great potential for rapid and highly sensitive detection of trace amounts of contamination from the environment in the surface aquatic ecosystem. The widespread use of antibiotics has resulted in serious ...
Spectrum Analysis, Raman Support Vector Machine Discriminant Analysis Wastewater Principal Component Analysis Machine Learning Silver Water Pollutants, Chemical Algorithms Ciprofloxacin Anti-Bacterial Agents Metal Nanoparticles Least-Squares Analysis
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Machine learning driven benchtop Vis/NIR spectroscopy for online detection of hybrid citrus quality.

Food research international (Ottawa, Ont.) Jan 2, 2025
The aim of this study was to explore application of visible and near-infrared (Vis/NIR) spectroscopy combined with machine learning models for SSC and TA prediction of hybrid citrus. The Vis/NIR spectra of samples including navel-region, equator-regi...
Spectroscopy, Near-Infrared Support Vector Machine Least-Squares Analysis Neural Networks, Computer Machine Learning Citrus
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Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM.

PloS one Dec 30, 2024
A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized frequency response function (GFRF) and the simplified least squares support vector machine (LSSVM). In this study, the harmonic signal is used as an input...
Nonlinear Dynamics Models, Theoretical Algorithms Support Vector Machine Computer Simulation Least-Squares Analysis
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Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 27, 2024
Moisture content (MC) is crucial for the storage, transportation, and processing of Camellia oleifera seeds. The purpose of this study was to investigate the feasibility for detecting MC in Camellia oleifera seeds using visible near-infrared hyperspe...
Least-Squares Analysis Hyperspectral Imaging Camellia Support Vector Machine Seeds Neural Networks, Computer Spectroscopy, Near-Infrared Algorithms Deep Learning Water
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Identification of Phosphodiesterase type 5 inhibitors (PDE5is) analogues using surface-enhanced Raman scattering and machine learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 27, 2024
Phosphodiesterase type 5 inhibitors (PDE5is), primarily used for the treatment of erectile dysfunction, have been severely misused in recent years, posing a threat to public health and safety. This study developed a method that combines Surface-enhan...
Least-Squares Analysis Discriminant Analysis Spectrum Analysis, Raman Phosphodiesterase 5 Inhibitors Support Vector Machine Gold Humans Principal Component Analysis Metal Nanoparticles Machine Learning Algorithms
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Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 20, 2024
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classificatio...
Machine Learning Algorithms Animals Discriminant Analysis Spectroscopy, Near-Infrared Food Contamination Animal Feed Chickens Principal Component Analysis Microplastics Support Vector Machine Least-Squares Analysis
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A rapid, non-destructive, and accurate method for identifying citrus granulation using Raman spectroscopy and machine learning.

Journal of food science Dec 10, 2024
Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulation during fruit storage poses a significant challenge to the citrus industry. This study used Raman spectroscopy coupled with machine learning algori...
Citrus Fruit Fruit and Vegetable Juices Machine Learning Algorithms Spectrum Analysis, Raman Principal Component Analysis Least-Squares Analysis Discriminant Analysis
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Using three-dimensional fluorescence spectroscopy and machine learning for rapid detection of adulteration in camellia oil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 3, 2024
Camellia oil had been widely utilized in the realms of cooking, healthcare, and beauty. Nevertheless, merchants frequently adulterated pure camellia oil with low-priced oils to cut costs. This study was aimed at identifying the authenticity of camell...
Camellia Support Vector Machine Food Contamination Neural Networks, Computer Plant Oils Machine Learning Spectrometry, Fluorescence Least-Squares Analysis Discriminant Analysis
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