AIMC Topic: Support Vector Machine

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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.

Sensors (Basel, Switzerland) Jan 7, 2025
Wheat is a globally cultivated cereal crop with substantial protein content present in its seeds. This research aimed to develop robust methods for predicting seed protein concentration in wheat seeds using bench-top hyperspectral imaging in the visi...
Triticum Hyperspectral Imaging Plant Proteins Support Vector Machine Neural Networks, Computer Machine Learning Seeds Spectroscopy, Near-Infrared Convolutional Neural Networks Image Processing, Computer-Assisted
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Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield.

PloS one Jan 7, 2025
Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating fractured and finely layered geological media. However, many inversion methods rely on complex physical models with initial assumptions, leading to n...
Neural Networks, Computer Machine Learning Models, Theoretical Support Vector Machine Anisotropy Oil and Gas Fields
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A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Lateral walking gait phase recognition and prediction are the premise of hip exoskeleton application in lateral resistance walk exercise. We presented a fusion network with stacked denoise autoencoder and meta learning (SDA-NN-ML) to recognize gait p...
Female Young Adult Humans Adult Neural Networks, Computer Machine Learning Walking Gait Autoencoder Male Support Vector Machine Signal Processing, Computer-Assisted
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A novel swarm budorcas taxicolor optimization-based multi-support vector method for transformer fault diagnosis.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2025
To address the challenge of low recognition accuracy in transformer fault detection, a novel method called swarm budorcas taxicolor optimization-based multi-support vector (SBTO-MSV) is proposed. Firstly, a multi-support vector (MSV) model is propose...
Algorithms Support Vector Machine Neural Networks, Computer Machine Learning
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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...
Epilepsy Seizures Wavelet Analysis Deep Learning Support Vector Machine Electroencephalography Humans Neural Networks, Computer
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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 ...
Ciprofloxacin Machine Learning Least-Squares Analysis Discriminant Analysis Spectrum Analysis, Raman Silver Support Vector Machine Principal Component Analysis Water Pollutants, Chemical Metal Nanoparticles Wastewater Algorithms Anti-Bacterial Agents
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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 Support Vector Machine Retrospective Studies Female Pregnancy Pregnancy Complications Adult Antiphospholipid Syndrome Nomograms
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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, ...
Support Vector Machine Algorithms Colorectal Neoplasms Humans Neural Networks, Computer
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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...
Artificial Intelligence Machine Learning Support Vector Machine Fruit Prunus domestica
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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...
Humans Machine Learning Brain Support Vector Machine Magnetic Resonance Imaging Neural Pathways Nerve Net Irritable Bowel Syndrome Adult Male Middle Aged Female Young Adult
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