AIMC Topic: Support Vector Machine

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Classification of skin diseases with deep learning based approaches.

Scientific reports Jul 28, 2025
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c...
Eczema Female Dermatitis, Seborrheic Skin Neoplasms Male Humans Deep Learning Algorithms Support Vector Machine Skin Diseases
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Tomato ripeness prediction using low resolution portable spectrometer and machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 25, 2025
Tomato ripeness assessment is critical to ensure optimal product quality. This study proposes a novel approach to predict total soluble solids (TSS) and firmness, and classify tomato ripeness using a low-resolution AS7265x portable spectrometer combi...
Solanum lycopersicum Fruit Support Vector Machine Neural Networks, Computer Bayes Theorem Machine Learning Least-Squares Analysis
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Development and validation of MRI-based radiomics model for clinical symptom stratification of extrinsic adenomyosis.

Annals of medicine Jul 25, 2025
BACKGROUND: Extrinsic adenomyosis exhibits heterogeneous clinical symptoms, with pain being more commonly reported. The relationship between magnetic resonance imaging (MRI) feature and symptom remains unclear.
Uterine Hemorrhage Adenomyosis Support Vector Machine Female Magnetic Resonance Imaging Middle Aged Adult Humans Pain Nomograms Radiomics Retrospective Studies
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models.

Scientific reports Jul 24, 2025
Potato as a staple food, plays a crucial role in ensuring a sustainable food supply and mitigating poverty and malnutrition in various regions across the globe. India, specifically holding the second position in global potato production, plays a sign...
Neural Networks, Computer Machine Learning Forecasting India Solanum tuberosum Support Vector Machine Food Supply
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Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.

Analytical methods : advancing methods and applications Jul 24, 2025
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi...
Principal Component Analysis Algorithms Discriminant Analysis Spectrum Analysis, Raman Influenza, Human Support Vector Machine Humans Machine Learning
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Hyperspectral imaging for trace cadmium prediction in lettuce leaves.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 23, 2025
Cadmium (Cd) pollution presents a significant threat to the agricultural product control, and the development of detection technology for Cd content in lettuce has important application value. This study developed a nondestructive approach based on h...
Spectroscopy, Near-Infrared Cadmium Hyperspectral Imaging Lactuca Support Vector Machine Plant Leaves Spectrometry, Fluorescence
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Development and application of an AI-empowered acoustic monitoring system for misuse detection in dry powder inhalers.

International journal of pharmaceutics Jul 23, 2025
Misuse and poor inhalation techniques remain persistent issues in pulmonary drug delivery via dry powder inhalation. While acoustic-based monitoring has been a feasible strategy, existing approaches often depend on smartphones for signal collection, ...
Humans Artificial Intelligence Acoustics Administration, Inhalation Dry Powder Inhalers Machine Learning Drug Delivery Systems Support Vector Machine
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Machine learning approach effectively discriminates between Parkinson's disease and progressive supranuclear palsy: Multi-level indices of rs-fMRI.

Brain research bulletin Jul 22, 2025
AIM: Parkinson's disease (PD) and progressive supranuclear palsy (PSP) present similar clinical symptoms, but their treatment options and clinical prognosis differ significantly. Therefore, we aimed to discriminate between PD and PSP based on multi-l...
Supranuclear Palsy, Progressive Magnetic Resonance Imaging Parkinson Disease Brain Female Aged Male Middle Aged Support Vector Machine Humans Machine Learning Prospective Studies
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Machine learning-assisted spectroscopic methods for detecting adulteration in Barrantes wine from Folla Redonda grapes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 21, 2025
The present study explores the application of advanced machine learning algorithms combined with vis-NIRS and FTIR spectroscopy to detect and quantify adulteration in Barrantes wine, produced from the Folla Redonda grape, a variety exclusive to the G...
Wine Vitis Food Contamination Least-Squares Analysis Discriminant Analysis Machine Learning Spectroscopy, Near-Infrared Support Vector Machine Spectroscopy, Fourier Transform Infrared
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Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.

Scientific reports Jul 21, 2025
Mild to severe anemia is caused by thalassemia, a common genetic disorder affecting over 100 countries worldwide, that results from the abnormality of one or several of the four globin genes. This leads to chronic hemolytic anemia and disrupted synth...
beta-Thalassemia Thalassemia Humans alpha-Thalassemia Machine Learning Blood Cell Count Chromatography, High Pressure Liquid Support Vector Machine Pakistan
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