AIMC Topic: Support Vector Machine

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Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics.

Food chemistry Mar 9, 2025
This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed und...
Support Vector Machine Food Contamination Least-Squares Analysis Spectroscopy, Near-Infrared Acrylamide Plant Tubers Chemometrics Hyperspectral Imaging Solanum tuberosum Cooking
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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...
Cognitive Dysfunction Proteomics Support Vector Machine Male Machine Learning Middle Aged Biomarkers Deep Learning Humans Female Aged Aged, 80 and over
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province.

Environmental monitoring and assessment Mar 8, 2025
Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China...
Support Vector Machine Models, Chemical Hydrogen-Ion Concentration Soil Machine Learning China Environmental Monitoring
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The Application of Machine Learning Models to Predict Stillbirths.

Medicina (Kaunas, Lithuania) Mar 7, 2025
: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. : The study retrospectively included all ...
Female Adult Logistic Models Machine Learning Humans Support Vector Machine Retrospective Studies Pregnancy Stillbirth
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.

Frontiers in public health Mar 6, 2025
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation po...
Random Forest Support Vector Machine Parks, Recreational Sustainable Development Linear Models Urban Health Urban Renewal Environment Design China Cities
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Prediction of landfill gases concentration based on Grey Wolf Optimization - Support Vector Regression during landfill excavation process.

Waste management (New York, N.Y.) Mar 4, 2025
In some areas, there is a phenomenon that the landfill is full or even over-capacity with the extension of the service period. With the aging and damage of the protective facilities, this phenomenon may have a more serious impact on the surrounding e...
Gases Refuse Disposal Waste Disposal Facilities Air Pollutants Odorants Algorithms Environmental Monitoring Support Vector Machine
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Novelty Recognition: Fish Species Classification via Open-Set Recognition.

Sensors (Basel, Switzerland) Mar 4, 2025
To support the sustainable use of marine resources, regulations have been proposed to reduce fish discards focusing on the registration of all listed species. To comply with such regulations, computer vision methods have been developed. Nevertheless,...
Algorithms Animals Fishes Support Vector Machine Pattern Recognition, Automated
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Breast cancer prediction based on gene expression data using interpretable machine learning techniques.

Scientific reports Mar 4, 2025
Breast cancer remains a global health burden, with an increase in deaths related to this particular cancer. Accurately predicting and diagnosing breast cancer is important for treatment development and survival of patients. This study aimed to accura...
Humans Gene Expression Regulation, Neoplastic Breast Neoplasms Support Vector Machine Gene Expression Profiling Computational Biology Machine Learning Female
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Middle Aged Diagnosis, Computer-Assisted Support Vector Machine Aged Aged, 80 and over Male Optical Imaging Keratosis, Actinic Spectrometry, Fluorescence Discriminant Analysis Skin Humans Machine Learning Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell
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Predictive modeling and optimization in dermatology: Machine learning for skin disease classification.

Computers in biology and medicine Mar 3, 2025
The accurate diagnosis of skin diseases is crucial for effective patient management and treatment, yet traditional diagnostic methods often involve subjective interpretation and can lead to variability in outcomes. In this study, we harness the power...
Humans Skin Diseases Machine Learning Dermatology Diagnosis, Computer-Assisted Support Vector Machine
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