AIMC Topic: Discriminant Analysis

Clear Filters Showing 31 to 40 of 319 articles

Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning.

Scientific reports Jan 7, 2025
With the growing global challenge of drug abuse, there is an urgent need for rapid, accurate, and cost-effective drug detection methods. This study introduces an innovative approach to drug abuse screening by quickly detecting ephedrine (EPH) in tear...
Animals Male Rats Machine Learning Algorithms Discriminant Analysis Tandem Mass Spectrometry Tears Substance Abuse Detection Spectrum Analysis, Raman Rats, Sprague-Dawley Substance-Related Disorders
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 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 ...
Water Pollutants, Chemical Ciprofloxacin Principal Component Analysis Metal Nanoparticles Least-Squares Analysis Discriminant Analysis Silver Anti-Bacterial Agents Spectrum Analysis, Raman Support Vector Machine Machine Learning Wastewater Algorithms
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 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...
Metal Nanoparticles Least-Squares Analysis Discriminant Analysis Phosphodiesterase 5 Inhibitors Support Vector Machine Principal Component Analysis Humans Gold Machine Learning Algorithms Spectrum Analysis, Raman
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 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 Least-Squares Analysis Support Vector Machine Microplastics Animals Food Contamination Discriminant Analysis Spectroscopy, Near-Infrared Principal Component Analysis Animal Feed Chickens
View on PubMed DOI

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 Discriminant Analysis Fruit Fruit and Vegetable Juices Spectrum Analysis, Raman Principal Component Analysis Least-Squares Analysis Machine Learning Algorithms
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 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 Spectrometry, Fluorescence Least-Squares Analysis Discriminant Analysis Neural Networks, Computer Machine Learning Support Vector Machine Food Contamination Plant Oils
View on PubMed DOI

Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis.

IEEE transactions on neural networks and learning systems Dec 2, 2024
Mounting evidence shows that Alzheimer's disease (AD) manifests the dysfunction of the brain network much earlier before the onset of clinical symptoms, making its early diagnosis possible. Current brain network analyses treat high-dimensional networ...
Humans Neural Networks, Computer Discriminant Analysis Alzheimer Disease Nerve Net Algorithms Brain Aged
View on PubMed DOI

Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.

Scientific reports Nov 22, 2024
This study introduces a novel approach for the early detection of pancreatic cancer through biofluid spectroscopy, leveraging a unique machine learning pipeline comprising class-specific principal component analysis (PCA), linear discriminant analysi...
Discriminant Analysis Humans Early Detection of Cancer Pancreatic Neoplasms Support Vector Machine Principal Component Analysis Spectroscopy, Fourier Transform Infrared
View on PubMed DOI

Preventing mislabeling of organic white button mushrooms (Agaricus bisporus) combining NMR-based foodomics, statistical, and machine learning approach.

Food research international (Ottawa, Ont.) Nov 19, 2024
Organic foods are among the most susceptible to fraud and mislabeling since the differentiation between organic and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiation model that combines nucl...
Magnetic Resonance Spectroscopy Least-Squares Analysis Neural Networks, Computer Discriminant Analysis Food, Organic Machine Learning Food Labeling Agaricus Principal Component Analysis
View on PubMed DOI

Rapid Raman spectroscopy analysis assisted with machine learning: a case study on Radix Bupleuri.

Journal of the science of food and agriculture Nov 8, 2024
BACKGROUND: Radix Bupleuri has been widely used for its plentiful pharmacological effects. But it is hard to evaluate their safety and efficacy because the concentrations of components are tightly affected by the surrounding environment. Thus, Radix ...
Machine Learning Spectrum Analysis, Raman Discriminant Analysis Bupleurum Support Vector Machine Plant Roots Drugs, Chinese Herbal
View on PubMed DOI
Popular Topics
Recent Journals