AIMC Topic: Support Vector Machine

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Comparing machine learning and deep learning regression frameworks for accurate prediction of dielectrophoretic force.

Scientific reports Jul 13, 2022
An intelligent sensing framework using Machine Learning (ML) and Deep Learning (DL) architectures to precisely quantify dielectrophoretic force invoked on microparticles in a textile electrode-based DEP sensing device is reported. The prediction accu...
Machine Learning Deep Learning Support Vector Machine Saccharomyces cerevisiae Neural Networks, Computer
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Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine.

Preparative biochemistry & biotechnology Jul 11, 2022
Photosynthetic bacteria wastewater treatment is an efficient water pollution treatment method, but photosynthetic bacteria fermentation is a multivariable, non-linear, and time-varying process. So it is difficult to establish an accurate model. Aimin...
Support Vector Machine Least-Squares Analysis Algorithms Bacteria Fermentation Gram-Negative Bacteria
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Predicting Divorce Prospect Using Ensemble Learning: Support Vector Machine, Linear Model, and Neural Network.

Computational intelligence and neuroscience Jul 11, 2022
A divorce is a legal step taken by married people to end their marriage. It occurs after a couple decides to no longer live together as husband and wife. Globally, the divorce rate has more than doubled from 1970 until 2008, with divorces per 1,000 m...
Support Vector Machine Developed Countries Linear Models Humans Female Divorce Neural Networks, Computer United States
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Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms.

Scientific reports Jul 9, 2022
The aim of this study is to investigate the relationship of 18 radiomorphometric parameters of panoramic radiographs based on age, and to estimate the age group of people with permanent dentition in a non-invasive, comprehensive, and accurate manner ...
Humans Machine Learning Algorithms Support Vector Machine Radiography, Panoramic Child Logistic Models Young Adult Male Middle Aged Adolescent Adult Female Infant Child, Preschool Aged
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An Efficient Machine Learning-Based Feature Optimization Model for the Detection of Dyslexia.

Computational intelligence and neuroscience Jul 9, 2022
Dyslexia is among the most common neurological disorders in children. Detection of dyslexia therefore remains an important pursuit for the research works across various domains which is illustrated by the plethora of work presented in diverse scienti...
Dyslexia Humans Child Neural Networks, Computer Support Vector Machine Machine Learning
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A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys.

Scientific reports Jul 8, 2022
We demonstrate the capabilities of two model-agnostic local post-hoc model interpretability methods, namely breakDown (BD) and shapley (SHAP), to explain the predictions of a black-box classification learning model that establishes a quantitative rel...
Support Vector Machine Cluster Analysis Alloys Artificial Intelligence Learning
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A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection.

Frontiers in public health Jul 8, 2022
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research community by presenting grievous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that results in a huge number of mortalities and high morb...
Deep Learning Tomography, X-Ray Computed Humans Support Vector Machine COVID-19 SARS-CoV-2
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Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data.

Sensors (Basel, Switzerland) Jul 7, 2022
Artificial intelligence is serving as an impetus in digital health, clinical support, and health informatics for an informed patient's outcome. Previous studies only consider classification accuracies of cardiotocographic (CTG) datasets and disregard...
Fetus Humans Support Vector Machine Neural Networks, Computer Health Status Algorithms Artificial Intelligence Deep Learning
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Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure.

BioMed research international Jul 7, 2022
Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate numerous AI methodologies and consider the exact DM conclusion outcomes in this study, which focuse...
Algorithms Support Vector Machine Bayes Theorem Discriminant Analysis Humans Mesothelioma
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The Prediction of Sinter Drums Strength Using Hybrid Machine Learning Algorithms.

Computational intelligence and neuroscience Jul 7, 2022
The prediction model with the sinter drum strength as the evaluation index was established based on the index data and historical sintering data generated during the sintering process. The regression prediction model in the algorithm of machine learn...
Algorithms Support Vector Machine Machine Learning
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