AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Least-Squares Analysis

Showing 21 to 30 of 367 articles

Clear Filters

Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM.

PloS one 39775410
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...
Algorithms Computer Simulation Least-Squares Analysis Models, Theoretical Nonlinear Dynamics Support Vector Machine
View on PubMed DOI

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 39742624
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...
Algorithms Camellia Deep Learning Hyperspectral Imaging Least-Squares Analysis Neural Networks, Computer Seeds Spectroscopy, Near-Infrared Support Vector Machine Water
View on PubMed DOI

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 39742621
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...
Algorithms Discriminant Analysis Gold Humans Least-Squares Analysis Machine Learning Metal Nanoparticles Phosphodiesterase 5 Inhibitors Principal Component Analysis Spectrum Analysis, Raman Support Vector Machine
View on PubMed DOI

Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 39733534
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...
Algorithms Animal Feed Animals Chickens Discriminant Analysis Food Contamination Least-Squares Analysis Machine Learning Microplastics Principal Component Analysis Spectroscopy, Near-Infrared Support Vector Machine
View on PubMed DOI

Using three-dimensional fluorescence spectroscopy and machine learning for rapid detection of adulteration in camellia oil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 39671816
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 Discriminant Analysis Food Contamination Least-Squares Analysis Machine Learning Neural Networks, Computer Plant Oils Spectrometry, Fluorescence Support Vector Machine
View on PubMed DOI

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

Journal of psychiatric research 39823922
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...
Adolescent Depressive Disorder, Major Female Humans Least-Squares Analysis Machine Learning Male Portugal Psychiatric Status Rating Scales
View on PubMed DOI

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 39809038
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...
Algorithms Fourier Analysis Humans Least-Squares Analysis Neural Networks, Computer Supervised Machine Learning
View on PubMed DOI

Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Meat science 39799874
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts we...
Animals Cooking Deep Learning Hydrogen-Ion Concentration Hyperspectral Imaging Least-Squares Analysis Neural Networks, Computer Paraspinal Muscles Pork Meat Principal Component Analysis Red Meat Swine
View on PubMed DOI

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 39793252
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 ...
Algorithms Anti-Bacterial Agents Ciprofloxacin Discriminant Analysis Least-Squares Analysis Machine Learning Metal Nanoparticles Principal Component Analysis Silver Spectrum Analysis, Raman Support Vector Machine Wastewater Water Pollutants, Chemical
View on PubMed DOI

Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra.

Analytical methods : advancing methods and applications 39835357
The efficacy and safety of drugs are closely related to the geographical origin and quality of the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR-HSI) combined with machine learning algorithms to construct content...
Algorithms Drugs, Chinese Herbal Glucosides Hyperspectral Imaging Least-Squares Analysis Machine Learning Monoterpenes Paeonia Principal Component Analysis Spectroscopy, Near-Infrared Support Vector Machine
View on PubMed DOI
Popular Topics
Recent Journals