AIMC Topic: Support Vector Machine

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Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.

Scientific reports Apr 21, 2024
Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess...
Electroencephalography Workload Machine Learning Algorithms Brain Humans Female Young Adult Adult Male Cognition Support Vector Machine
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Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification.

Scientific reports Apr 20, 2024
RNA modifications are pivotal in the development of newly synthesized structures, showcasing a vast array of alterations across various RNA classes. Among these, 5-hydroxymethylcytosine (5HMC) stands out, playing a crucial role in gene regulation and...
Bayes Theorem RNA 5-Methylcytosine Neural Networks, Computer Algorithms Support Vector Machine
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Application of parallel artificial membrane permeability assay technique and chemometric modeling for blood-brain barrier permeability prediction of protein kinase inhibitors.

Future medicinal chemistry Apr 19, 2024
This study aims to investigate the passive diffusion of protein kinase inhibitors through the blood-brain barrier (BBB) and to develop a model for their permeability prediction. We used the parallel artificial membrane permeability assay to obtain ...
Protein Kinase Inhibitors Support Vector Machine Humans Membranes, Artificial Blood-Brain Barrier Permeability Quantitative Structure-Activity Relationship
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Imagined speech classification exploiting EEG power spectrum features.

Medical & biological engineering & computing Apr 18, 2024
Imagined speech recognition has developed as a significant topic of research in the field of brain-computer interfaces. This innovative technique has great promise as a communication tool, providing essential help to those with impairments. An imagin...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Imagination Male Algorithms Speech Brain Support Vector Machine Female Young Adult Adult
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Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models.

Scientific reports Apr 18, 2024
Estimating penetration rates of Jumbo drills is crucial for optimizing underground mining drilling processes, aiming to reduce costs and time. This study investigates various regression and machine learning methods, including Multilayer Perceptron (M...
Neural Networks, Computer Machine Learning Algorithms Support Vector Machine
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Confirming the statistically significant superiority of tree-based machine learning algorithms over their counterparts for tabular data.

PloS one Apr 18, 2024
Many individual studies in the literature observed the superiority of tree-based machine learning (ML) algorithms. However, the current body of literature lacks statistical validation of this superiority. This study addresses this gap by employing fi...
Humans Support Vector Machine Machine Learning Algorithms Logistic Models
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An efficient cardio vascular disease prediction using multi-scale weighted feature fusion-based convolutional neural network with residual gated recurrent unit.

Computer methods in biomechanics and biomedical engineering Apr 17, 2024
The cardiovascular disease (CVD) is the dangerous disease in the world. Most of the people around the world are affected by this dangerous CVD. In under-developed countries, the prediction of CVD remains the toughest job and it takes more time and co...
Cardiovascular Diseases Support Vector Machine Principal Component Analysis Humans Neural Networks, Computer Algorithms
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Radiomics-based detection of acute myocardial infarction on noncontrast enhanced midventricular short-axis cine CMR images.

The international journal of cardiovascular imaging Apr 17, 2024
Cardiac magnetic resonance cine images are primarily used to evaluate functional consequences, whereas limited information is extracted from the noncontrast pixel-wise myocardial signal intensity pattern. In this study we want to assess whether chara...
Adult Radiomics Male Female Reproducibility of Results Aged Support Vector Machine Predictive Value of Tests Myocardial Infarction Ventricular Function, Left Middle Aged Case-Control Studies Humans Retrospective Studies Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine
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Thermogravimetric experiments based prediction of biomass pyrolysis behavior: A comparison of typical machine learning regression models in Scikit-learn.

Marine pollution bulletin Apr 17, 2024
A variety of machine learning (ML) models have been extensively utilized in predicting biomass pyrolysis owing to their prowess in deciphering complex non-linear relationships between inputs and outputs, but there is still a lack of consensus on the ...
Thermogravimetry Biomass Thermodynamics Support Vector Machine Pyrolysis Neural Networks, Computer Machine Learning
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Comparison of Machine Learning Models Using Diffusion-Weighted Images for Pathological Grade of Intrahepatic Mass-Forming Cholangiocarcinoma.

Journal of imaging informatics in medicine Apr 16, 2024
Is the radiomic approach, utilizing diffusion-weighted imaging (DWI), capable of predicting the various pathological grades of intrahepatic mass-forming cholangiocarcinoma (IMCC)? Furthermore, which model demonstrates superior performance among the d...
Adult Male Middle Aged Retrospective Studies Female Aged Bile Duct Neoplasms Cholangiocarcinoma Support Vector Machine Diffusion Magnetic Resonance Imaging Humans Neoplasm Grading Machine Learning Image Interpretation, Computer-Assisted Algorithms
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