A novel unsupervised machine learning algorithm for automatic Alfvénic activity detection in the TJ-II stellarator

被引：0
|
作者：
Zapata-Cornejo, E.d.D. [1 ,2 ]
Zarzoso, D. [1 ]
Pinches, S.D. [2 ]
Bustos, A. [3 ]
Cappa, A. [4 ]
Ascasibar, E. [4 ]
机构：
[1] Aix Marseille Univ, CNRS, Centrale Med, Marseille,M2P2, France
[2] ITER Organization, Route de Vinon-sur-Verdon, CS 90 046, St. Paul Lez Durance,13067 Cedex, France
[3] Department of Technology, CIEMAT, Av. Complutense 40, Madrid,28040, Spain
[4] National Fusion Laboratory-CIEMAT, Av. Complutense 40, Madrid,28040, Spain
来源：
Nuclear Fusion | 2024年 / 64卷 / 12期
关键词：
All Open Access; Gold;
D O I：
10.1088/1741-4326/ad85f4
中图分类号：
学科分类号：
摘要：
Stellarators
引用
收藏
相关论文
共 50 条
  • [1] Modeling of frequency-sweeping Alfvén modes in the TJ-II stellarator
    Ghiozzi, A. G.
    Mantsinen, M. J.
    Pastells, P.
    Spong, D. A.
    Melnikov, A. V.
    Eliseev, L. G.
    Sharapov, S. E.
    NUCLEAR FUSION, 2024, 64 (03)
  • [2] Study of Alfvén eigenmodes with heavy ion beam probing in the TJ-II stellarator
    Eliseev, L. G.
    Melnikov, A. V.
    Lysenko, S. E.
    REVIEWS OF MODERN PLASMA PHYSICS, 2022, 6 (01)
  • [3] Using a Genetic Algorithm and the Grid to Improve Transport Levels in the TJ-II Stellarator
    Gomez-Iglesias, Antonio
    Cardenas-Montes, Miguel
    Morales-Ramos, Enrique
    Vega-Rodriguez, Miguel A.
    Castejon-Magana, Francisco
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING, 2008, : 81 - +
  • [4] The interpretation of magnetic activity associated with pellet injections into plasmas created in the stellarator TJ-II
    McCarthy, K. J.
    Ascasibar, E.
    Tamura, N.
    Panadero, N.
    Garcia-Cortes, I.
    van Milligen, B.
    Cappa, A.
    Garcia, R.
    Hernandez-Sanchez, J.
    Liniers, M.
    Motojima, G.
    Navarro, M.
    Pastor, I.
    NUCLEAR FUSION, 2021, 61 (07)
  • [5] Detection and investigation of chirping Alfven eigenmodes with heavy ion beam probe in the TJ-II stellarator
    Melnikov, A., V
    Ascasibar, E.
    Cappa, A.
    Castejon, F.
    Eliseev, L. G.
    Hidalgo, C.
    Khabanov, P. O.
    Kharchev, N. K.
    Kozachek, A. S.
    Krupnik, L., I
    Liniers, M.
    Lysenko, S. E.
    de Pablos, J. L.
    Sharapov, S. E.
    Ufimtsev, M., V
    Zenin, V. N.
    NUCLEAR FUSION, 2018, 58 (08)
  • [6] The detection of fast oxygen ions in neutral beam-heated plasmas of the TJ-II stellarator using spectroscopy methods
    McCarthy, Kieran J.
    Tribaldos, V.
    Arevalo, J.
    Liniers, M.
    JOURNAL OF PHYSICS B-ATOMIC MOLECULAR AND OPTICAL PHYSICS, 2010, 43 (14)
  • [7] A Machine Learning Algorithm for the Automatic Detection of Ictal Activity using Energy and Synchronization Features
    Qaraqe, Marwa
    Al-Thani, Dena
    2017 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2017, : 353 - 359
  • [8] Automatic Algorithm for Quality Assessment of the Unsupervised Spirometry Based on Machine Learning Method
    Solinski, Mateusz
    Walag, Damian
    Gorska, Katarzyna
    Korczynski, Piotr
    Kuznar-Kaminska, Barbara
    Grabicki, Marcin
    Koltowski, Lukasz
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2022, 149 (02) : AB42 - AB42
  • [9] Discrete fast-ion detection with energy discrimination in plasmas having edge-localized mode-like instabilities in the stellarator TJ-II
    Martinez, M.
    Zurro, B.
    Baciero, A.
    Jimenez-Rey, D.
    Tribaldos, V.
    Lopez-Fraguas, A.
    Munoz, D.
    CONTRIBUTIONS TO PLASMA PHYSICS, 2018, 58 (09) : 861 - 869
  • [10] An Unsupervised Machine Learning Algorithm for Attack and Anomaly Detection in IoT Sensors
    Alangari, Someah
    WIRELESS PERSONAL COMMUNICATIONS, 2023, 133 (03) : 1963 - 1985
12345