AIMC Topic: Support Vector Machine

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Effect of combining features generated through non-linear analysis and wavelet transform of EEG signals for the diagnosis of encephalopathy.

Neuroscience letters Sep 25, 2021
Electroencephalogram (EEG) signals portray hidden neuronal interactions in the brain and indicate brain dynamics. These signals are dynamic, complex, chaotic and nonlinear, the nature of which is represented with features - fractal dimensions, entrop...
Brain Diseases Wavelet Analysis Humans Electroencephalography Support Vector Machine Nonlinear Dynamics
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A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing.

Journal of healthcare engineering Sep 25, 2021
Air traffic controller fatigue has recently received considerable attention from researchers because it is one of the main causes of air traffic incidents. Numerous research studies have been conducted to extract speech features related to fatigue, a...
China Humans Support Vector Machine Speech
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Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Sep 24, 2021
Despite countless advances in recent decades across various in vitro, in vivo and in silico tools, anticipation of whether a drug will show a human food effect (FE) remains challenging. One means to predict potential FE involves probing any dependenc...
Databases, Factual Support Vector Machine Humans Neural Networks, Computer Machine Learning Algorithms
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On the Prediction of Biogas Production from Vegetables, Fruits, and Food Wastes by ANFIS- and LSSVM-Based Models.

BioMed research international Sep 24, 2021
This study is aimed at modeling biodigestion systems as a function of the most influencing parameters to generate two robust algorithms on the basis of the machine learning algorithms, including adaptive network-based fuzzy inference system (ANFIS) a...
Vegetables Algorithms Linear Models Computer Simulation Refuse Disposal Least-Squares Analysis Support Vector Machine Biofuels Fruit Fuzzy Logic Food
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Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms.

International journal of legal medicine Sep 23, 2021
The greater sciatic notch (GSN) is a useful element for sex estimation because it is quite resistant to damage, and thus it can often be assessed even in poorly preserved skeletons. This study aimed to develop statistical models for sex estimation ba...
Humans Neural Networks, Computer Female Aged Male Machine Learning Algorithms Sex Determination by Skeleton Models, Statistical Sex Characteristics Support Vector Machine Pelvic Bones
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ESVM-SWRF: Ensemble SVM-based sample weighted random forests for liver disease classification.

International journal for numerical methods in biomedical engineering Sep 21, 2021
Recently, a significant way to diagnose the disease is using the model of medical data mining. The most challenging task in the healthcare field is to face a large amount of data during disease analyzes and prediction. Once the data are transformed i...
Humans Support Vector Machine Bayes Theorem Liver Diseases Neural Networks, Computer Algorithms
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Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI).

Sensors (Basel, Switzerland) Sep 21, 2021
Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to dev...
Machine Learning Posture Humans Support Vector Machine Artificial Intelligence
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A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data.

Sensors (Basel, Switzerland) Sep 21, 2021
In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting the cryptocurrency returns, ...
SARS-CoV-2 Support Vector Machine Pandemics Commerce Gold COVID-19 Humans
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Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences.

Medical & biological engineering & computing Sep 20, 2021
Advances in high-throughput techniques lead to evolving a large number of unknown protein sequences (UPS). Functional characterization of UPS is significant for the investigation of disease symptoms and drug repositioning. Protein subcellular localiz...
Amino Acid Sequence Neural Networks, Computer Proteins Algorithms Bayes Theorem Support Vector Machine
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EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features.

Sensors (Basel, Switzerland) Sep 20, 2021
Exposure to mental stress for long period leads to serious accidents and health problems. To avoid negative consequences on health and safety, it is very important to detect mental stress at its early stages, i.e., when it is still limited to acute o...
Support Vector Machine Electroencephalography Humans Machine Learning Stress, Psychological
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