AIMC Topic: Support Vector Machine

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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM.

Scientific reports Jan 25, 2025
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretatio...
Support Vector Machine Mammography Female Breast Neoplasms Diagnosis, Computer-Assisted Algorithms Databases, Factual Humans
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

Scientific reports Jan 25, 2025
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and a...
Humans Neural Networks, Computer Algorithms Colorectal Neoplasms Colonic Polyps Colonoscopy Support Vector Machine Cluster Analysis Unsupervised Machine Learning Supervised Machine Learning
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A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.

PloS one Jan 24, 2025
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means th...
Petroleum Petroleum Pollution Soil Pollutants Hydrocarbons Neural Networks, Computer Machine Learning Soil Environmental Monitoring Support Vector Machine
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Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.

Current eye research Jan 23, 2025
PURPOSE: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Neural Networks, Computer Machine Learning Mice, Inbred C57BL Tomography, Optical Coherence Retina Animals Mice Support Vector Machine Mice, Inbred DBA
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Advancing DNA Structural Analysis: A SERS Approach Free from Citrate Interference Combined with Machine Learning.

The journal of physical chemistry letters Jan 23, 2025
Surface-enhanced Raman spectroscopy (SERS) has become an indispensable tool for biomolecular analysis, yet the detection of DNA signals remains hindered by spectral interference from citrate ions, which overlap with key DNA features. This study intro...
Nucleic Acid Conformation Silver Citric Acid Spectrum Analysis, Raman Support Vector Machine DNA Metal Nanoparticles Discriminant Analysis Machine Learning
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Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism.

Food research international (Ottawa, Ont.) Jan 22, 2025
The application of high-level data fusion in the detection of agricultural products still presents a significant challenge. In this study, dual-channel feature fusion model (DCFFM) with attention mechanism was proposed to optimize the utilization of ...
Glycine max Neural Networks, Computer Deep Learning Spectroscopy, Near-Infrared Support Vector Machine Hyperspectral Imaging
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Multi-view learning with enhanced multi-weight vector projection support vector machine.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
Multi-view learning aims on learning from the data represented by multiple distinct feature sets. Various multi-view support vector machine methods have been successfully applied to classification tasks. However, the existed methods often face the pr...
Algorithms Support Vector Machine Humans Neural Networks, Computer Machine Learning
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Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

Sensors (Basel, Switzerland) Jan 21, 2025
In geriatric healthcare, missing data pose significant challenges, especially in systems used for frailty monitoring in elderly individuals. This study explores advanced imputation techniques used to enhance data quality and maintain model performanc...
Monitoring, Physiologic Humans Aged Frailty Machine Learning Support Vector Machine Bayes Theorem Algorithms Geriatrics
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA.

Scientific reports Jan 21, 2025
Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coronavirus diseases 2019 (COVID-19). The aim of our study was to develop a predictive model for the occurrence of critical illness and mortality in COVID-...
Diabetic Ketoacidosis Support Vector Machine Female SARS-CoV-2 Aged Machine Learning Adult Humans COVID-19 Male Prognosis Middle Aged
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Adaptive hybrid ANFIS-PSO and ANFIS-GA approach for occupational risk prediction.

International journal of occupational safety and ergonomics : JOSE Jan 20, 2025
This study attempted to optimize the adaptive neuro-fuzzy inference system (ANFIS) using particle swarm optimization (PSO) and a genetic algorithm (GA) for calculating occupational risk. Numerous studies have shown that the ANFIS is a good approach f...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Fuzzy Logic Occupational Health Algorithms Risk Assessment Logistic Models
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