AIMC Topic: Support Vector Machine

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Optimized machine learning approaches to combine surface-enhanced Raman scattering and infrared data for trace detection of xylazine in illicit opioids.

The Analyst Feb 10, 2025
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from bot...
Machine Learning Spectrum Analysis, Raman Support Vector Machine Xylazine Analgesics, Opioid Illicit Drugs Spectrophotometry, Infrared
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Enhanced EEG-based cognitive workload detection using RADWT and machine learning.

Neuroscience Feb 7, 2025
Understanding cognitive workload improves learning performance and provides insights into human cognitive processes. Estimating cognitive workload finds practical applications in adaptive learning systems, brain-computer interfaces, and cognitive mon...
Wavelet Analysis Machine Learning Brain Cognition Young Adult Female Support Vector Machine Electroencephalography Adult Humans Workload Male
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.

Scientific reports Feb 6, 2025
Sorghum cultivation plays a pivotal role in addressing food insecurity in South Sudan, but persistent conflict continues to impose challenges in the agriculture sector therefore understanding the impact of conflict on sorghum yield prediction is impo...
Sorghum South Sudan Agriculture Support Vector Machine Remote Sensing Technology Neural Networks, Computer Machine Learning
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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets.

Scientific reports Feb 6, 2025
Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for effective management. The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PI...
Humans Diabetes Mellitus Support Vector Machine Machine Learning Algorithms Islets of Langerhans Transplantation
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

Scientific reports Feb 6, 2025
Asthma diagnosis poses challenges due to underreporting of symptoms, misdiagnoses, and limitations in existing diagnostic tests. Machine learning (ML) offers a promising avenue for addressing these challenges by leveraging demographic and clinical da...
Bayes Theorem Adult Asthma Male United States Algorithms Humans Middle Aged Support Vector Machine Female Machine Learning Nutrition Surveys Young Adult
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A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Biomedical physics & engineering express Feb 6, 2025
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on featu...
Bayes Theorem Saliva Xerostomia Adult Radiomics Male Support Vector Machine Magnetic Resonance Imaging Middle Aged Head and Neck Neoplasms Tomography, X-Ray Computed Female Aged Humans Machine Learning
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Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra.

Analytical methods : advancing methods and applications Feb 6, 2025
The efficacy and safety of drugs are closely related to the geographical origin and quality of the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR-HSI) combined with machine learning algorithms to construct content...
Machine Learning Algorithms Spectroscopy, Near-Infrared Monoterpenes Paeonia Least-Squares Analysis Glucosides Hyperspectral Imaging Support Vector Machine Principal Component Analysis Drugs, Chinese Herbal
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Machine learning-based analyzing earthquake-induced slope displacement.

PloS one Feb 6, 2025
Accurately evaluating earthquake-induced slope displacement is a key factor for designing slopes that can effectively respond to seismic activity. This study evaluates the capabilities of various machine learning models, including artificial neural n...
Support Vector Machine Humans Neural Networks, Computer Earthquakes Machine Learning
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Integrating machine learning for treatment decisions in anterior open bite orthodontic cases: A retrospective study.

Journal of the World federation of orthodontists Jan 31, 2025
INTRODUCTION: This article explores the integration of machine learning (ML) algorithms to aid in treatment planning and extraction decisions for anterior open bite cases, leveraging demographic, clinical, and radiographic data to predict treatment o...
Adult Male Adolescent Humans Clinical Decision-Making Algorithms Female Retrospective Studies Young Adult Neural Networks, Computer Cephalometry Child Patient Care Planning Machine Learning Tooth Extraction Open Bite Treatment Outcome Support Vector Machine
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Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques.

Sensors (Basel, Switzerland) Jan 29, 2025
Drowsy driving poses a significant challenge to road safety worldwide, contributing to thousands of accidents and fatalities annually. Despite advancements in driver drowsiness detection (DDD) systems, many existing methods face limitations such as i...
Automobile Driving Algorithms Humans Face Support Vector Machine Sleep Stages Neural Networks, Computer Accidents, Traffic Machine Learning
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