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Support Vector Machine

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An automated approach to identify sarcasm in low-resource language.

PloS one Dec 5, 2024
Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on...
Algorithms Humans Emotions Language Machine Learning Support Vector Machine Decision Trees Natural Language Processing
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Exploiting the features of deep residual network with SVM classifier for human posture recognition.

PloS one Dec 5, 2024
Over the last decade, there have been a lot of advances in the area of human posture recognition. Among multiple approaches proposed to solve this problem, those based on deep learning have shown promising results. Taking another step in this directi...
Posture Deep Learning Accidental Falls Humans Support Vector Machine Neural Networks, Computer Algorithms
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Classification of glucose-level in deionized water using machine learning models and data pre-processing technique.

PloS one Dec 5, 2024
Accurate monitoring of glucose levels is essential in the field of diabetes detection and prevention to ensure appropriate treatment planning. Conventional blood glucose monitoring methods, although widely used, are intrusive and frequently result in...
Humans Machine Learning Support Vector Machine Blood Glucose Glucose Water Spectrum Analysis, Raman
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Metabolomics-Based Machine Learning Models Accurately Predict Breast Cancer Estrogen Receptor Status.

International journal of molecular sciences Dec 4, 2024
Breast cancer is a global concern as a leading cause of death for women. Early and precise diagnosis can be vital in handling the disease efficiently. Breast cancer subtyping based on estrogen receptor (ER) status is crucial for determining prognosis...
Humans Biomarkers, Tumor Middle Aged Machine Learning Metabolomics Aged Support Vector Machine Algorithms Receptors, Estrogen Female Adult Breast Neoplasms
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Use of machine learning for simplification of University Personality Inventory (UPI).

Acta psychologica Dec 4, 2024
BACKGROUND: Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This stud...
Students Adolescent Universities Support Vector Machine Personality Inventory Adult Mental Health Male Machine Learning Female Young Adult Humans
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Predictive efficacy of machine-learning algorithms on intrahepatic cholestasis of pregnancy based on clinical and laboratory indicators.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Dec 3, 2024
OBJECTIVES: Intrahepatic cholestasis of pregnancy (ICP), a condition exclusive to pregnancy, necessitates prompt identification and intervention to improve the perinatal outcomes. This study aims to develop suitable machine-learning models for predic...
Algorithms Retrospective Studies Pregnancy Humans Neural Networks, Computer Machine Learning Pregnancy Complications Support Vector Machine Predictive Value of Tests Female Cholestasis, Intrahepatic Adult Case-Control Studies
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Using three-dimensional fluorescence spectroscopy and machine learning for rapid detection of adulteration in camellia oil.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 3, 2024
Camellia oil had been widely utilized in the realms of cooking, healthcare, and beauty. Nevertheless, merchants frequently adulterated pure camellia oil with low-priced oils to cut costs. This study was aimed at identifying the authenticity of camell...
Least-Squares Analysis Discriminant Analysis Camellia Neural Networks, Computer Food Contamination Machine Learning Plant Oils Support Vector Machine Spectrometry, Fluorescence
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Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.

Scientific reports Dec 3, 2024
Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the ph...
Crops, Agricultural Stress, Physiological Droughts Deep Learning Agriculture Support Vector Machine Neural Networks, Computer Machine Learning Algorithms
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Machine learning based workflow for (micro)plastic spectral reconstruction and classification.

Chemosphere Dec 3, 2024
With the advancement of artificial intelligence, it is foreseeable that computer-assisted identification of microplastics (MPs) will become increasingly widespread. Therefore, exploring a machine learning-based workflow to facilitate the identificati...
Neural Networks, Computer Support Vector Machine Workflow Microplastics Machine Learning Algorithms Environmental Monitoring
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Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques.

Scientific reports Dec 2, 2024
HIV remains a critical global health issue, with an estimated 39.9 million people living with the virus worldwide by the end of 2023 (according to WHO). Although the epidemic's impact varies significantly across regions, Africa remains the most affec...
Humans Support Vector Machine Machine Learning Proportional Hazards Models Cytokines Male Female HIV Infections Adult Incidence
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