Automatic classification of spread‐F types in ionogram images using support vector machine and convolutional neural network

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Vydané v:	Earth, Planets and Space Ročník 76
Hlavní autori:	Phongsachot Benchawattananon, Apirat Siritaratiwat, Pornchai Supnithi, Michi Nishioka, Septi Perwitasari, Puripong Suthisopapan, A. Kruesubthaworn
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Springer Science and Business Media LLC 10.04.2024
Predmet:	Anomaly Detection in High-Dimensional Data Artificial intelligence Artificial neural network Clustering of Time Series Data and Algorithms Computer science Computer Vision and Pattern Recognition Convolution neural network Convolutional neural network Electron Electron density Feature Extraction G Geodesy Geography. Anthropology. Recreation Geology Image classification Image Denoising Image Denoising Techniques and Algorithms Image preprocessing Ionogram Ionogram image Pattern Discovery Pattern recognition (psychology) Physical Sciences Physics QB275-343 QE1-996.5 Quantum mechanics Signal Processing Speech recognition Spread-F Support vector machine
ISSN:	1880-5981
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ISSN:	1880-5981
DOI:	10.1186/s40623-024-02002-x