AIMC Topic: Support Vector Machine

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LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the -Barriers for Intrusion Detection Using Wireless Sensor Network.

Sensors (Basel, Switzerland) Jan 29, 2022
The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and prevention at border areas using Wireless Sensor Networks (WSNs). This study proposed a nov...
Support Vector Machine Machine Learning Algorithms Normal Distribution Neural Networks, Computer
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Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach.

Sensors (Basel, Switzerland) Jan 29, 2022
The bearing is an essential component of a rotating machine. Sudden failure of the bearing may cause an unwanted breakdown of the manufacturing plant. In this paper, an intelligent fault diagnosis technique was developed to diagnose various faults th...
Intelligence Vibration Algorithms Support Vector Machine
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A Survey of Blind Modulation Classification Techniques for OFDM Signals.

Sensors (Basel, Switzerland) Jan 28, 2022
Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent transceiver for future wireless communications. Blind MC has several applications in the adaptive and automated systems of sixth generation (6G) communic...
Neural Networks, Computer Machine Learning Likelihood Functions Algorithms Support Vector Machine
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Cross-Task Cognitive Workload Recognition Based on EEG and Domain Adaptation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
Cognitive workload recognition is pivotal to maintain the operator's health and prevent accidents in the human-robot interaction condition. So far, the focus of workload research is mostly restricted to a single task, yet cross-task cognitive workloa...
Recognition, Psychology Electroencephalography Workload Humans Cognition Support Vector Machine
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Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jan 27, 2022
In medical imaging, quantitative measurements have shown promise in identifying diseases by classifying normal versus pathological parameters from tissues. The support vector machine (SVM) has shown promise as a supervised classification algorithm an...
Animals Support Vector Machine Ultrasonography Image Processing, Computer-Assisted Algorithms Pancreatic Neoplasms Rats
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Towards a Contactless Stress Classification Using Thermal Imaging.

Sensors (Basel, Switzerland) Jan 27, 2022
Thermal cameras capture the infrared radiation emitted from a body in a contactless manner and can provide an indirect estimation of the autonomic nervous system (ANS) dynamics through the regulation of the skin temperature. This study investigates t...
Respiratory Rate Humans Autonomic Nervous System Support Vector Machine Diagnostic Imaging Algorithms
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A Novel Deep Learning-Based Black Fungus Disease Identification Using Modified Hybrid Learning Methodology.

Contrast media & molecular imaging Jan 27, 2022
Currently, countries across the world are suffering from a prominent viral infection called COVID-19. Most countries are still facing several issues due to this disease, which has resulted in several fatalities. The first COVID-19 wave caused devasta...
Deep Learning India Algorithms Comorbidity Coinfection COVID-19 Drug Treatment Image Processing, Computer-Assisted Support Vector Machine Humans Neural Networks, Computer COVID-19 Mucormycosis Mucorales
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Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU.

Sensors (Basel, Switzerland) Jan 26, 2022
Faults in distribution networks occur unpredictably, causing a threat to public safety and resulting in power outages. Automated, efficient, and precise detection of faulty sections could be a major element in immediately restoring networks and avoid...
Machine Learning Support Vector Machine Records Algorithms Electric Impedance
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A New Method of Deep Convolutional Neural Network Image Classification Based on Knowledge Transfer in Small Label Sample Environment.

Sensors (Basel, Switzerland) Jan 25, 2022
The problem of deep learning network image classification when a large number of image samples are obtained in life and with only a small amount of knowledge annotation, is preliminarily solved in this paper. First, a support vector machine expert la...
Research Design Neural Networks, Computer Support Vector Machine
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Application of Machine Learning in Rheumatic Immune Diseases.

Journal of healthcare engineering Jan 25, 2022
People are paying greater attention to their personal health as society develops and progresses, and rheumatic immunological disorders have become a serious concern that affects human health. As a result, research on a stable, trustworthy, and effect...
Immune System Diseases Algorithms Support Vector Machine Humans Machine Learning Artificial Intelligence
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