AIMC Topic: Support Vector Machine

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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...
Support Vector Machine Least-Squares Analysis Nonlinear Dynamics Algorithms Computer Simulation Models, Theoretical
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Machine learning-based prediction of non-aeration linear alkylbenzene sulfonate mineralization in an oxygenic microalgal-bacteria biofilm.

Bioresource technology Dec 28, 2024
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predi...
Alkanesulfonic Acids Microalgae Water Pollutants, Chemical Oxygen Bioreactors Machine Learning Bacteria Support Vector Machine Water Purification Biofilms
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Decoding of pain during heel lancing in human neonates with EEG signal and machine learning approach.

Scientific reports Dec 28, 2024
Currently, pain assessment using electroencephalogram signals and machine learning methods in clinical studies is of great importance, especially for those who cannot express their pain. Since newborns are among the high-risk group and always experie...
Electroencephalography Pain Heel Machine Learning Female Infant, Newborn Male Support Vector Machine Pain Measurement Humans
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Clustering and classification for dry bean feature imbalanced data.

Scientific reports Dec 28, 2024
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support vector machine (SVM) have low classification performance. This paper proposes an algorithm for the dry bean dataset and obesity levels dataset that c...
Machine Learning Algorithms Support Vector Machine Decision Trees Fabaceae Cluster Analysis Obesity Humans
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Fluorescence excitation-emission matrix spectroscopy combined with machine learning for the classification of viruses for respiratory infections.

Talanta Dec 27, 2024
Significant efforts were currently being made worldwide to develop a tool capable of distinguishing between various harmful viruses through simple analysis. In this study, we utilized fluorescence excitation-emission matrix (EEM) spectroscopy as a ra...
Humans Machine Learning Support Vector Machine Wavelet Analysis Fourier Analysis Spectrometry, Fluorescence Viruses Rhinovirus Respiratory Tract Infections
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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...
Seeds Least-Squares Analysis Hyperspectral Imaging Camellia Deep Learning Neural Networks, Computer Water Algorithms Support Vector Machine Spectroscopy, Near-Infrared
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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...
Machine Learning Algorithms Humans Discriminant Analysis Phosphodiesterase 5 Inhibitors Gold Metal Nanoparticles Least-Squares Analysis Spectrum Analysis, Raman Support Vector Machine Principal Component Analysis
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Machine learning-based prediction of duodenal stump leakage following laparoscopic gastrectomy for gastric cancer.

Surgery Dec 27, 2024
BACKGROUND: Duodenal stump leakage is one of the most critical complications following gastrectomy surgery, with a high mortality rate. The present study aimed to establish a predictive model based on machine learning for forecasting the occurrence o...
Humans Machine Learning Retrospective Studies Stomach Neoplasms Male Middle Aged Duodenum Female Aged Adult Gastrectomy Anastomotic Leak Adenocarcinoma Support Vector Machine Laparoscopy
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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods.

Tomography (Ann Arbor, Mich.) Dec 26, 2024
UNLABELLED: Due to the increasing number of people working at computers in professional settings, the incidence of lumbar disc herniation is increasing.
Intervertebral Disc Displacement Magnetic Resonance Imaging Lumbar Vertebrae Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Male Algorithms Deep Learning Support Vector Machine
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Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment.

JCO clinical cancer informatics Dec 23, 2024
PURPOSE: Toxicity to systemic cancer treatment represents a major anxiety for patients and a challenge to treatment plans. We aimed to develop machine learning algorithms for the upfront prediction of an individual's risk of experiencing treatment-re...
Prognosis Female ROC Curve Aged Neoadjuvant Therapy Humans Support Vector Machine Machine Learning Drug-Related Side Effects and Adverse Reactions Adult Algorithms Breast Neoplasms Middle Aged
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