AIMC Topic: Support Vector Machine

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A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection.

BMC medical informatics and decision making Jan 6, 2025
BACKGROUND: The diagnosis and treatment of epilepsy continue to face numerous challenges, highlighting the urgent need for the development of rapid, accurate, and non-invasive methods for seizure detection. In recent years, advancements in the analys...
Seizures Wavelet Analysis Humans Neural Networks, Computer Deep Learning Support Vector Machine Electroencephalography Epilepsy
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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 ...
Silver Ciprofloxacin Anti-Bacterial Agents Spectrum Analysis, Raman Metal Nanoparticles Support Vector Machine Machine Learning Least-Squares Analysis Discriminant Analysis Wastewater Water Pollutants, Chemical Algorithms Principal Component Analysis
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Development and validation of a support vector machine-based nomogram for diagnosis of obstetric antiphospholipid syndrome.

Clinica chimica acta; international journal of clinical chemistry Jan 5, 2025
BACKGROUND: Antiphospholipid Syndrome (APS) is a systemic autoimmune disorder characterized by arterial or venous thrombosis and/or pregnancy complications. This study aims to develop a diagnostic model for Obstetric APS (OAPS) using the Support Vect...
Humans Retrospective Studies Pregnancy Support Vector Machine Adult Nomograms Pregnancy Complications Female Antiphospholipid Syndrome
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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx.

Scientific reports Jan 5, 2025
"PolynetDWTCADx" is a sophisticated hybrid model that was developed to identify and distinguish colorectal cancer. In this study, the CKHK-22 dataset, comprising 24 classes, served as the introduction. The proposed method, which combines CNNs, DWTs, ...
Colorectal Neoplasms Support Vector Machine Humans Neural Networks, Computer Algorithms
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Machine learning techniques for non-destructive estimation of plum fruit weight.

Scientific reports Jan 4, 2025
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-i...
Fruit Prunus domestica Artificial Intelligence Machine Learning Support Vector Machine
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Classification of Irritable Bowel Syndrome Using Brain Functional Connectivity Strength and Machine Learning.

Neurogastroenterology and motility Jan 3, 2025
BACKGROUND: Irritable Bowel Syndrome (IBS) is a prevalent condition characterized by dysregulated brain-gut interactions. Despite its widespread impact, the brain mechanism of IBS remains incompletely understood, and there is a lack of objective diag...
Young Adult Adult Male Brain Female Neural Pathways Nerve Net Irritable Bowel Syndrome Middle Aged Support Vector Machine Magnetic Resonance Imaging Humans Machine Learning
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Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms.

Environmental monitoring and assessment Jan 3, 2025
In recent decades, global climate change and rapid urbanization have aggravated the urban heat island (UHI) effect, affecting the well-being of urban citizens. Although this significant phenomenon is more pronounced in larger metropolitan areas due t...
Machine Learning Algorithms Temperature Support Vector Machine Climate Change Urbanization Spatio-Temporal Analysis Cities Environmental Monitoring Slovakia
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SVM directed machine learning classifier for human action recognition network.

Scientific reports Jan 3, 2025
Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neura...
Support Vector Machine Video Recording Pattern Recognition, Automated Human Activities Humans Neural Networks, Computer Machine Learning Algorithms
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Characterizing Chinese saffron Origin, Age and grade using VNlR hyperspectral imaging and Machine learning.

Food research international (Ottawa, Ont.) Jan 2, 2025
Saffron (Crocus sativus L.), the dried stigma, is an extremely valuable spice and medicinal herb, whose economic value is affected by geographical origin, age and grade. In this study, we proposed a method to identify saffron from different Chinese o...
Flowers Hyperspectral Imaging Crocus Spectroscopy, Near-Infrared Machine Learning Spices China Algorithms Support Vector Machine
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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...
Support Vector Machine Neural Networks, Computer Machine Learning Least-Squares Analysis Spectroscopy, Near-Infrared Citrus
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