AIMC Topic: Support Vector Machine

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Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm.

Environmental science and pollution research international Oct 24, 2018
Prediction of sediment volume and sediment load is always one of the important issues for decision-makers of watershed basins. The present study investigated the daily suspended sediment load in a watershed basin using the improved support vector mac...
Iran Geologic Sediments Hydrology Algorithms Support Vector Machine
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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering Oct 23, 2018
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Support Vector Machine Adult Myocardial Ischemia Humans Male Magnetocardiography Machine Learning Diagnosis, Computer-Assisted Coronary Stenosis Signal Processing, Computer-Assisted Heart
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Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.

NeuroImage Oct 23, 2018
An artificial neural network with multiple hidden layers (known as a deep neural network, or DNN) was employed as a predictive model (DNN) for the first time to predict emotional responses using whole-brain functional magnetic resonance imaging (fMRI...
Brain Mapping Auditory Perception Support Vector Machine Magnetic Resonance Imaging Emotions Deep Learning Image Processing, Computer-Assisted Young Adult Humans Adult Neural Networks, Computer Male Brain
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Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC.

Journal of theoretical biology Oct 23, 2018
Lysine acetylation is one of the most important types of protein post-translational modifications (PTM) that are widely involved in cellular regulatory processes. To fully understand the regulatory mechanism of acetylation, identification of acetylat...
Bacteria Prokaryotic Cells Computational Biology Support Vector Machine Protein Processing, Post-Translational Acetylation Bacterial Proteins Lysine Datasets as Topic Binding Sites Species Specificity
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Analysis of tuberculosis disease through Raman spectroscopy and machine learning.

Photodiagnosis and photodynamic therapy Oct 22, 2018
We present the effectiveness of Raman spectroscopy (RS) in combination with machine learning for screening and analysis of blood sera collected from tuberculosis patients. Blood samples of 60 patients have confirmed active pulmonary tuberculosis and ...
Spectrum Analysis, Raman Support Vector Machine Principal Component Analysis Tuberculosis Humans Adolescent Female Child Young Adult Male Image Processing, Computer-Assisted Adult Middle Aged Sensitivity and Specificity
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Electroencephalography-based machine learning for cognitive profiling in Parkinson's disease: Preliminary results.

Movement disorders : official journal of the Movement Disorder Society Oct 21, 2018
BACKGROUND: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening.
Humans Machine Learning Algorithms Middle Aged Cognition Support Vector Machine Female Aged Male Parkinson Disease Electroencephalography Cognition Disorders
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Machine Learning for Environmental Toxicology: A Call for Integration and Innovation.

Environmental science & technology Oct 19, 2018
Machine Learning Support Vector Machine Ecotoxicology
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Seizure forecasting using single robust linear feature as correlation vector of seizure-like events in brain slices preparation in vitro.

Neurological research Oct 17, 2018
Epilepsy is a neurological disorder affecting 50 million individuals globally. Modern research has inspected the likelihood of forecasting epileptic seizures. Algorithmic investigations are giving promising results for seizure prediction. Though most...
Humans Forecasting Cerebral Cortex Electroencephalography Animals Drug Resistant Epilepsy Rats Epilepsy Seizures Support Vector Machine Disease Models, Animal
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Rainfall time series disaggregation in mountainous regions using hybrid wavelet-artificial intelligence methods.

Environmental research Oct 15, 2018
In mountainous regions, rainfall can be extremely variable in space and time. The need to simulate rainfall time series at different scales on one hand and the lack of recording such parameters in small scales because of administrative and economic p...
Linear Models Wavelet Analysis Neural Networks, Computer Rain Environmental Monitoring Support Vector Machine
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Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method.

Journal of theoretical biology Oct 12, 2018
RNA-protein interaction (RPI) plays an important role in the basic cellular processes of organisms. Unfortunately, due to time and cost constraints, it is difficult for biological experiments to determine the relationship between RNA and protein to a...
Neural Networks, Computer RNA Datasets as Topic Sequence Analysis Protein Binding Computational Biology Support Vector Machine
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