AIMC Topic: Support Vector Machine

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Predictive Analysis of Diabetes-Risk with Class Imbalance.

Computational intelligence and neuroscience Oct 11, 2022
Diabetes type 2 (T2DM) is a common chronic disease, increasingly leading to many complications and affecting vital organs. Hyperglycemia is the main characteristic caused by insufficient insulin secretion and poses a serious risk to human health. The...
Humans Neural Networks, Computer Machine Learning Algorithms Diabetes Mellitus, Type 2 Support Vector Machine
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Machine Learning Approach to Predict the Performance of a Stratified Thermal Energy Storage Tank at a District Cooling Plant Using Sensor Data.

Sensors (Basel, Switzerland) Oct 10, 2022
In the energy management of district cooling plants, the thermal energy storage tank is critical. As a result, it is essential to keep track of TES results. The performance of the TES has been measured using a variety of methodologies, both numerical...
Neural Networks, Computer Machine Learning Support Vector Machine Cluster Analysis
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A model with deep analysis on a large drug network for drug classification.

Mathematical biosciences and engineering : MBE Oct 9, 2022
Drugs are an important means to treat various diseases. They are classified into several classes to indicate their properties and effects. Those in the same class always share some important features. The Kyoto Encyclopedia of Genes and Genomes (KEGG...
Algorithms Support Vector Machine
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Parameter Optimization of Support Vector Machine to Improve the Predictive Performance for Determination of Aflatoxin B in Peanuts by Olfactory Visualization Technique.

Molecules (Basel, Switzerland) Oct 9, 2022
This study proposes a novel method for detection of aflatoxin B (AFB) in peanuts using olfactory visualization technique. First, 12 kinds of chemical dyes were selected to prepare a colorimetric sensor to assemble olfactory visualization system, whic...
Neural Networks, Computer Support Vector Machine Coloring Agents Aflatoxin B1 Arachis
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Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.

International journal of environmental research and public health Oct 8, 2022
Coal and gas outbursts seriously threaten the mining safety of deep coal mines. The evaluation of the risk grade of these events can effectively prevent the occurrence of safety accidents in deep coal mines. Characterized as a high-dimensional, nonli...
Algorithms Risk Assessment Support Vector Machine Coal
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Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.

Sensors (Basel, Switzerland) Oct 7, 2022
An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronoun...
Algorithms Support Vector Machine Discriminant Analysis Electroencephalography Signal Processing, Computer-Assisted Artifacts Brain-Computer Interfaces
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A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech.

Sensors (Basel, Switzerland) Oct 6, 2022
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion recognition (SER), remains challenging for both humans and computers. Applied fields including clinical diagnosis and intervention, social interaction research or ...
Humans Neural Networks, Computer Machine Learning Algorithms Speech Support Vector Machine Emotions
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Photovoltaic Power Generation Forecasting Using a Novel Hybrid Intelligent Model in Smart Grid.

Computational intelligence and neuroscience Oct 6, 2022
The exponential growth of electrical demand and the integration of renewable energy sources (RES) brought new challenges in the traditional grid about energy quality. The transition from traditional grid to smart grid is the best solution which provi...
Neural Networks, Computer Forecasting Cameroon Models, Theoretical Support Vector Machine
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Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora.

Computational intelligence and neuroscience Oct 4, 2022
Diabetes is one of the biggest health problems that affect millions of people across the world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage, blindness, and other illnesses. Researchers are motivated to create a ...
Humans Neural Networks, Computer Machine Learning Prevalence Diabetes Mellitus Support Vector Machine
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Optimization Design of Drilling Fluid Chemical Formula Based on Artificial Intelligence.

Computational intelligence and neuroscience Oct 4, 2022
Through the research and development of the regression prediction function of support vector machine, this paper applies it to the prediction of drilling fluid performance parameters and the formulation design of drilling fluid. The research in this ...
Artificial Intelligence Support Vector Machine Plastics
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