المؤلفون: Murari A., Rossi R., Lungaroni M., Baruzzo M., Gelfusa M.

المساهمون: Murari, A., Rossi, R., Lungaroni, M., Baruzzo, M., Gelfusa, M.

مصطلحات موضوعية: adaptive learning, de-learning, disruptions, ensembles of classifiers, machine learning predictors, stacks of predictors, trajectory learning, transfer learning

العلاقة: volume:61; issue:3; firstpage:036027; journal:NUCLEAR FUSION; http://hdl.handle.net/20.500.12079/65388Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102169355

الإتاحة: https://doi.org/20.500.12079/65388Test
https://doi.org/10.1088/1741-4326/abc9f3Test
https://hdl.handle.net/20.500.12079/65388Test

المؤلفون: Lungaroni, M., Andersson Sundén, Erik, Binda, Federico, 1987, Cecconello, Marco, Conroy, Sean, Dzysiuk, Nataliia, Ericsson, Göran, Eriksson, Jacob, Dr, 1985, Hellesen, Carl, 1980, Hjalmarsson, Anders, Possnert, Göran, 1951, Sjöstrand, Henrik, 1978, Skiba, Mateusz, 1985, Weiszflog, Matthias, Zychor, I.

المصدر: Fusion engineering and design. 130:62-68

مصطلحات موضوعية: Disruptions, Machine learning predictors, Classification and regression trees, Boosting, Bagging, Random forests, Noise-based ensembles

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-398325Test

المؤلفون: Murari, A, Rossi, R, Peluso, E, Lungaroni, M, Gaudio, P, Gelfusa, M, Ratta, G, Vega, J

المساهمون: Murari, A, Rossi, R, Peluso, E, Lungaroni, M, Gaudio, P, Gelfusa, M, Ratta, G, Vega, J

مصطلحات موضوعية: disruptions, machine learning predictors, adaptive learning, ensembles of classifier, mitigation, prevention, transfer learning, Settore FIS/01 - FISICA SPERIMENTALE, Settore ING-IND/18 - FISICA DEI REATTORI NUCLEARI

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000528005300001; volume:60; issue:5; firstpage:056003; journal:NUCLEAR FUSION; http://hdl.handle.net/2108/250181Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85083569363

الإتاحة: https://doi.org/10.1088/1741-4326/ab77a6Test
http://hdl.handle.net/2108/250181Test

المؤلفون: Andrea Murari, Riccardo Rossi, Michele Lungaroni, Matteo Baruzzo, Michela Gelfusa

المساهمون: Murari, A, Rossi, R, Lungaroni, M, Baruzzo, M, Gelfusa, M

مصطلحات موضوعية: disruptions, machine learning predictors, adaptive learning, ensembles of classifiers, transfer learning, de-learning, trajectory learning, stacks of predictors, Settore ING-IND/18 - FISICA DEI REATTORI NUCLEARI

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000619787700001; volume:61; issue:3; journal:NUCLEAR FUSION; https://hdl.handle.net/2108/311065Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102169355

الإتاحة: https://doi.org/10.1088/1741-4326/abc9f3Test
https://hdl.handle.net/2108/311065Test

المؤلفون: Michela Gelfusa, M. Lungaroni, A. Murari, Jesús Vega, Riccardo Rossi, G.A. Rattá, Emmanuele Peluso, and Jet Contributors, Pasquale Gaudio

المصدر: Nuclear Fusion
Nuclear fusion 60 (2020): 056003-1–056003-18. doi:10.1088/1741-4326/ab77a6
info:cnr-pdr/source/autori:Murari A.; Rossi R.; Peluso E.; Lungaroni M.; Gaudio P.; Gelfusa M.; Ratta G.; Vega J./titolo:On the transfer of adaptive predictors between different devices for both mitigation and prevention of disruptions/doi:10.1088%2F1741-4326%2Fab77a6/rivista:Nuclear fusion/anno:2020/pagina_da:056003-1/pagina_a:056003-18/intervallo_pagine:056003-1–056003-18/volume:60

مصطلحات موضوعية: Settore FIS/01, Nuclear and High Energy Physics, Adaptive strategies, ensembles of classifier, Computer science, Settore ING-IND/18 - Fisica dei Reattori Nucleari, adaptive learning, transfer learning, Condensed Matter Physics, disruptions, 01 natural sciences, Profit (economics), 010305 fluids & plasmas, Reliability engineering, Plasma current, Constant false alarm rate, mitigation, prevention, Software deployment, machine learning predictors, 0103 physical sciences, Adaptive learning, Overall performance, 010306 general physics, Transfer of learning

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467a869f41d4268df58bee91d65c7f15Test

المؤلفون: Gelfusa M., Murari A., Rossi R., Lungaroni M., Peluso E., Rattà G., Vega J.

المصدر: (Virtual) Technical Meeting on Plasma Disruptions and their Mitigation, WebEx Meeting (Vienna, Austria), 20-23 July 2020
info:cnr-pdr/source/autori:Gelfusa M.; Murari A.; Rossi R.; Lungaroni M.; Peluso E.; Rattà G.; Vega J./congresso_nome:(Virtual) Technical Meeting on Plasma Disruptions and their Mitigation/congresso_luogo:WebEx Meeting (Vienna, Austria)/congresso_data:20-23 July 2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine

مصطلحات موضوعية: Tokamak, JET, Machine learning predictors, Mitigation and Prevention of Disruptions

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=cnr_________::679491163aa3b048c51a67afe35aef4cTest
http://www.cnr.it/prodotto/i/447422Test

المؤلفون: Stefan Matejcik, Francesco Romanelli, Augusto Pereira González, Jesús Vega, Bohdan Bieg, Emmanuele Peluso, Vladislav Plyusnin, José Vicente, Alberto Loarte, Michele Lungaroni, Bor Kos, Andrea Murari, Axel Jardin, Rajnikant Makwana, CHIARA MARCHETTO, Choong-Seock Chang, Manuel Garcia-munoz

المساهمون: Department of Physics, Materials Physics

المصدر: Fusion engineering and design 130 (2018): 62–68. doi:10.1016/j.fusengdes.2018.02.087
info:cnr-pdr/source/autori:Lungaroni M.; Murari A.; Peluso E.; Vega J.; Farias G.; Gelfusa M./titolo:On the potential of ruled-based machine learning for disruption prediction on JET/doi:10.1016%2Fj.fusengdes.2018.02.087/rivista:Fusion engineering and design/anno:2018/pagina_da:62/pagina_a:68/intervallo_pagine:62–68/volume:130
Fusion Engineering and Design

مصطلحات موضوعية: Boosting (machine learning), Computer science, education, Machine learning, computer.software_genre, 114 Physical sciences, 01 natural sciences, Boosting, 010305 fluids & plasmas, Noise-based ensembles, Bagging, 0103 physical sciences, Classification and regression trees, General Materials Science, 010306 general physics, Civil and Structural Engineering, business.industry, Mechanical Engineering, Settore ING-IND/18 - Fisica dei Reattori Nucleari, Random forests, Random forest, Disruptions, Nuclear Energy and Engineering, Machine learning predictors, Artificial intelligence, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e671b380cb805703aa38f025c056bd86Test
https://doi.org/10.1016/j.fusengdes.2018.02.087Test

المؤلفون: Murari, A., Lungaroni, M., Gelfusa, M., Peluso, E., Vega, J., Stankūnas, Gediminas

المصدر: Nuclear Fusion, Bristol : IOP Publishing, 2019, Vol. 59, No. 8, 086037, p. 1-11 ; ISSN 0029-5515 ; eISSN 1741-4326

مصطلحات موضوعية: disruptions, machine learning predictors, adaptive training, de-learning, obsolescence, ensembles of classifiers

العلاقة: http://lei.lvb.lt/LEI:ELABAPDB44462920&prefLang=en_USTest

الإتاحة: https://doi.org/10.1088/1741-4326/ab1eccTest
http://lei.lvb.lt/LEI:ELABAPDB44462920&prefLang=en_USTest

المؤلفون: Murari, A., Lungaroni, M., Peluso, E., Gaudio, P., Vega, J., Dormido-Canto, S., Baruzzo, M., Gelfusa, M., Abduallev, S., Abhangi, M., Abreu, P., Afzal, M., Aggarwal, K. M., Ahlgren, T., Ahn, J. H., Aho-Mantila, L., Aiba, N., Airila, M., Albanese, R., Aldred, V., Alegre, D., Alessi, E., Aleynikov, P., Alfier, A., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amicucci, L., Amosov, V., Sunden, E. Andersson, Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arnichand, H., Arshad, S., Ash, A., Ashikawa, N., Aslanyan, V., Asunta, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M. D., Ayres, C., Bacharis, M., Baciero, A., Baiao, D., Bailey, S., Baker, A., Balboa, I., Balden, M., Balshaw, N., Bament, R., Banks, J. W., Baranov, Y. F., Barnard, M. A., Barnes, D., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Basiuk, V., Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baughan, R., Bauvir, B., Baylor, L., Bazylev, B., Beal, J., Beaumont, P. S., Beckers, M., Beckett, B., Becoulet, A., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Bellinger, M., Belonohy, E., Ben Ayed, N., Benterman, N. A., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besliu, C., Beurskens, M., Bieg, B., Bielecki, J., Biewer, T., Bigi, M., Bilkova, P., Binda, F., Bisoffi, A., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, K., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V., Boboc, A., Bodnar, G., Bogar, O., Bolshakova, I., Bolzonella, T., Bonanomi, N., Bonelli, F., Boom, J., Booth, J., Borba, D., Borodin, D., Borodkina, I., Botrugno, A., Bottereau, C., Boulting, P., Bourdelle, C., Bowden, M., Bower, C., Bowman, C., Boyce, T., Boyd, C., Boyer, H. J., Bradshaw, J. M. A., Braic, V., Bravanec, R., Breizman, B., Bremond, S., Brennan, P. D., Breton, S., Brett, A., Brezinsek, S., Bright, M. D. J., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, D. P. D., Brown, M., Bruno, E., Bucalossi, J., Buch, J., Buchanan, J., Buckley, M. A., Budny, R., Bufferand, H., Bulman, M., Bulmer, N., Bunting, P., Buratti, P., Burckhart, A., Buscarino, A., Busse, A., Butler, N. K., Bykov, I., Byrne, J., Cahyna, P., Calabro, G., Calvo, I., Camenen, Y., Camp, P., Campling, D. C., Cane, J., Cannas, B., Capel, A. J., Card, P. J., Cardinali, A., Carman, P., Carr, M., Carralero, D., Carraro, L., Carvalho, B. B., Carvalho, I., Carvalho, P., Casson, F. J., Castaldo, C., Catarino, N., Caumont, J., Causa, F., Cavazzana, R., Cave-Ayland, K., Cavinato, M., Cecconello, M., Ceccuzzi, S., Cecil, E., Cenedese, A., Cesario, R., Challis, C. D., Chandler, M., Chandra, D., Chang, C. S., Chankin, A., Chapman, I. T., Chapman, S. C., Chernyshova, M., Chitarin, G., Ciraolo, G., Ciric, D., Citrin, J., Clairet, F., Clark, E., Clark, M., Clarkson, R., Clatworthy, D., Clements, C., Cleverly, M., Coad, J. P., Coates, P. A., Cobalt, A., Coccorese, V., Cocilovo, V., Coda, S., Coelho, R., Coenen, J. W., Coffey, I., Colas, L., Collins, S., Conka, D., Conroy, S., Conway, N., Coombs, D., Cooper, D., Cooper, S. R., Corradino, C., Corre, Y., Corrigan, G., Cortes, S., Coster, D., Couchman, A. S., Cox, M. P., Craciunescu, T., Cramp, S., Craven, R., Crisanti, F., Croci, G., Croft, D., Crombe, K., Crowe, R., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curuia, M., Czarnecka, A., Dabirikhah, H., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., Davies, O., Davis, W., Day, C., Day, I. E., De Bock, M., de Castro, A., de la Cal, E., de la Luna, E., De Masi, G., de Pablos, J. L., De Temmerman, G., De Tommasi, G., de Vries, P., Deakin, K., Deane, J., Agostini, F. Degli, Dejarnac, R., Delabie, E., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dinca, P., D'Inca, R., Ding, B., Dittmar, T., Doerk, H., Doerner, R. P., Donne, T., Dorling, S. E., Doswon, S., Douai, D., Doyle, P. T., Drenik, A., Drewelow, P., Drews, P., Duckworth, Ph., Dumont, R., Dumortier, P., Dunai, D., Dunne, M., Duran, I., Durodie, F., Dutta, P., Duval, B. P., Dux, R., Dylst, K., Dzysiuk, N., Edappala, P. V., Edmond, J., Edwards, A. M., Edwards, J., Eich, Th., Ekedahl, A., El-Jorf, R., Elsmore, C. G., Enachescu, M., Ericsson, G., Eriksson, F., Eriksson, J., Eriksson, L. G., Esposito, B., Esquembri, S., Esser, H. G., Esteve, D., Evans, B., Evans, G. E., Evison, G., Ewart, G. D., Fagan, D., Faitsch, M., Falie, D., Fanni, A., Fasoli, A., Faustin, J. M., Fawlk, N., Fazendeiro, L., Fedorczak, N., Felton, R. C., Fenton, K., Fernades, A., Fernandes, H., Ferreira, J., Fessey, J. A., Fevrier, O., Ficker, O., Field, A., Fietz, S., Figueiredo, A., Figueiredo, J., Fil, A., Finburg, P., Firdaouss, M., Fischer, U., Fittill, L., Fitzgerald, M., Flammini, D., Flanagan, J., Fleming, C., Flinders, K., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fortuna-Zalesna, E., Fortune, M., Foster, S., Franke, T., Franklin, T., Frasca, M., Frassinetti, L., Freisinger, M., Fresa, R., Frigione, D., Fuchs, V., Fuller, D., Futatani, S., Fyvie, J., Gal, K., Galassi, D., Galazka, K., Galdon-Quiroga, J., Gallagher, J., Gallart, D., Galvao, R., Gao, X., Gao, Y., Garcia, J., Garcia-Carrasco, A., Garcia-Munoz, M., Gardarein, J. -L., Garzotti, L., Gauthier, E., Gear, D. F., Gee, S. J., Geiger, B., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Giacalone, J. C., Giacomelli, L., Gibson, C. S., Giegerich, T., Gil, C., Gil, L., Gilligan, S., Gin, D., Giovannozzi, E., Girardo, J. B., Giroud, C., Giruzzi, G., Gloeggler, S., Godwin, J., Goff, J., Gohil, P., Goloborod'Ko, V., Gomes, R., Goncalves, B., Goniche, M., Goodliffe, M., Goodyear, A., Gorini, G., Gosk, M., Goulding, R., Goussarov, A., Gowland, R., Graham, B., Graham, M. E., Graves, J. P., Grazier, N., Grazier, P., Green, N. R., Greuner, H., Grierson, B., Griph, F. S., Grisolia, C., Grist, D., Groth, M., Grove, R., Grundy, C. N., Grzonka, J., Guard, D., Guerard, C., Guillemaut, C., Guirlet, R., Gurl, C., Utoh, H. H., Hackett, L. J., Hacquin, S., Hagar, A., Hager, R., Hakola, A., Halitovs, M., Hall, S. J., Cook, S. P. Hallworth, Hamlyn-Harris, C., Hammond, K., Harrington, C., Harrison, J., Harting, D., Hasenbeck, F., Hatano, Y., Hatch, D. R., Haupt, T. D. V., Hawes, J., Hawkes, N. C., Hawkins, J., Hawkins, P., Haydon, P. W., Hayter, N., Hazel, S., Heesterman, P. J. L., Heinola, K., Hellesen, C., Hellsten, T., Helou, W., Hemming, O. N., Hender, T. C., Henderson, M., Henderson, S. S., Henriques, R., Hepple, D., Hermon, G., Hertout, P., Hidalgo, C., Highcock, E. G., Hill, M., Hillairet, J., Hillesheim, J., Hillis, D., Hizanidis, K., Hjalmarsson, A., Hobirk, J., Hodille, E., Hogben, C. H. A., Hogeweij, G. M. D., Hollingsworth, A., Hollis, S., Homfray, D. A., Horacek, J., Hornung, G., Horton, A. R., Horton, L. D., Horvath, L., Hotchin, S. P., Hough, M. R., Howarth, P. J., Hubbard, A., Huber, A., Huber, V., Huddleston, T. M., Hughes, M., Huijsmans, G. T. A., Hunter, C. L., Huynh, P., Hynes, A. M., Iglesias, D., Imazawa, N., Imbeaux, F., Imrisek, M., Incelli, M., Innocente, P., Irishkin, M., Ivanova-Stanik, I., Jachmich, S., Jacobsen, A. S., Jacquet, P., Jansons, J., Jardin, A., Jarvinen, A., Jaulmes, F., Jednorog, S., Jenkins, I., Jeong, C., Jepu, I., Joffrin, E., Johnson, R., Johnson, T., Johnston, Jane, Joita, L., Jones, G., Jones, T. T. C., Hoshino, K. K., Kallenbach, A., Kamiya, K., Kaniewski, J., Kantor, A., Kappatou, A., Karhunen, J., Karkinsky, D., Karnowska, I., Kaufman, M., Kaveney, G., Kazakov, Y., Kazantzidis, V., Keeling, D. L., Keenan, T., Keep, J., Kempenaars, M., Kennedy, C., Kenny, D., Kent, J., Kent, O. N., Khilkevich, E., Kim, H. T., Kim, H. S., Kinch, A., King, C., King, D., King, R. F., Kinna, D. J., Kiptily, V., Kirk, A., Kirov, K., Kirschner, A., Kizane, G., Klepper, C., Klix, A., Knight, P., Knipe, S. J., Knott, S., Kobuchi, T., Koechl, F., Kocsis, G., Kodeli, I., Kogan, L., Kogut, D., Koivuranta, S., Kominis, Y., Koeppen, M., Kos, B., Koskela, T., Koslowski, H. R., Koubiti, M., Kovari, M., Kowalska-Strzeciwilk, E., Krasilnikov, A., Krasilnikov, V., Krawczyk, N., Kresina, M., Krieger, K., Krivska, A., Kruezi, U., Ksiazek, I., Kukushkin, A., Kundu, A., Kurki-Suonio, T., Kwak, S., Kwiatkowski, R., Kwon, O. J., Laguardia, L., Lahtinen, A., Laing, A., Lam, N., Lambertz, H. T., Lane, C., Lang, P. T., Lanthaler, S., Lapins, J., Lasa, A., Last, J. R., Laszynska, E., Lawless, R., Lawson, A., Lawson, K. D., Lazaros, A., Lazzaro, E., Leddy, J., Lee, S., Lefebvre, X., Leggate, H. J., Lehmann, J., Lehnen, M., Leichtle, D., Leichuer, P., Leipold, F., Lengar, I., Lennholm, M., Lerche, E., Lescinskis, A., Lesnoj, S., Letellier, E., Leyland, M., Leysen, W., Li, L., Liang, Y., Likonen, J., Linke, J., Linsmeier, Ch., Lipschultz, B., Liu, G., Liu, Y., Lo Schiavo, V. P., Loarer, T., Loarte, A., Lobel, R. C., Lomanowski, B., Lomas, P. J., Lonnroth, J., Lopez, J. M., Lopez-Razola, J., Lorenzini, R., Losada, U., Lovell, J. J., Loving, A. B., Lowry, C., Luce, T., Lucock, R. M. A., Lukin, A., Luna, C., Lungu, C. P., Lungu, M., Lunniss, A., Lupelli, I., Lyssoivan, A., Macdonald, N., Macheta, P., Maczewa, K., Magesh, B., Maget, P., Maggi, C., Maier, H., Mailloux, J., Makkonen, T., Makwana, R., Malaquias, A., Malizia, A., Manas, P., Manning, A., Manso, M. E., Mantica, P., Mantsinen, M., Manzanares, A., Maquet, Ph., Marandet, Y., Marcenko, N., Marchetto, C., Marchuk, O., Marinelli, M., Marinucci, M., Markovic, T., Marocco, D., Marot, L., Marren, C. A., Marshal, R., Martin, A., Martin, Y., Martin de Aguilera, A., Martinez, F. J., Martin-Solis, J. R., Martynova, Y., Maruyama, S., Masiello, A., Maslov, M., Matejcik, S., Mattei, M., Matthews, G. F., Maviglia, F., Mayer, M., Mayoral, M. L., May-Smith, T., Mazon, D., Mazzotta, C., Mcadams, R., Mccarthy, P. J., Mcclements, K. G., Mccormack, O., Mccullen, P. A., Mcdonald, D., Mcintosh, S., Mckean, R., Mckehon, J., Meadows, R. C., Meakins, A., Medina, F., Medland, M., Medley, S., Meigh, S., Meigs, A. G., Meisl, G., Meitner, S., Meneses, L., Menmuir, S., Mergia, K., Merrigan, I. R., Mertens, Ph., Meshchaninov, S., Messiaen, A., Meyer, H., Mianowski, S., Michling, R., Middleton-Gear, D., Miettunen, J., Militello, F., Militello-Asp, E., Miloshevsky, G., Mink, F., Minucci, S., Miyoshi, Y., Mlynar, J., Molina, D., Monakhov, I., Moneti, M., Mooney, R., Moradi, S., Mordijck, S., Moreira, L., Moreno, R., Moro, F., Morris, A. W., Morris, J., Moser, L., Mosher, S., Moulton, D., Muraro, A., Murphy, S., Asakura, N. N., Y. S., Na, Nabais, F., Naish, R., Nakano, T., Nardon, E., Naulin, V., Nave, M. F. F., Nedzelski, I., Nemtsev, G., Nespoli, F., Neto, A., Neu, R., Neverov, V. S., Newman, M., Nicholls, K. J., Nicolas, T., Nielsen, A. H., Nielsen, P., Nilsson, E., Nishijima, D., Noble, C., Nocente, M., Nodwell, D., Nordlund, K., Nordman, H., Nouailletas, R., Nunes, I., Oberkofler, M., Odupitan, T., Ogawa, M. T., O'Gorman, T., Okabayashi, M., Olney, R., Omolayo, O., O'Mullane, M., Ongena, J., Orsitto, F., Orszagh, J., Oswuigwe, B. 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W., Roccella, R., Rodionov, R., Rodrigues, P., Rodriguez, J., Rohde, V., Romanelli, F., Romanelli, M., Romanelli, S., Romazanov, J., Rowe, S., Rubel, M., Rubinacci, G., Rubino, G., Ruchko, L., Ruiz, M., Ruset, C., Rzadkiewicz, J., Saarelma, S., Sabot, R., Safi, E., Sagar, P., Saibene, G., Saint-Laurent, F., Salewski, M., Salmi, A., Salmon, R., Salzedas, F., Samaddar, D., Samm, U., Sandiford, D., Santa, P., Santala, M. I. K., Santos, B., Santucci, A., Sartori, F., Sartori, R., Sauter, O., Scannell, R., Schlummer, T., Schmid, K., Schmidt, V., Schmuck, S., Schneider, M., Schoepf, K., Schworer, D., Scott, S. D., Sergienko, G., Sertoli, M., Shabbir, A., Sharapov, S. E., Shaw, A., Shaw, R., Sheikh, H., Shepherd, A., Shevelev, A., Shumack, A., Sias, G., Sibbald, M., Sieglin, B., Silburn, S., Silva, A., Silva, C., Simmons, P. A., Simpson, J., Simpson-Hutchinson, J., Sinha, A., Sipila, S. K., Sips, A. C. 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المساهمون: Department of Physics, Materials Physics

المصدر: Nuclear Fusion
Nuclear fusion 58 (2018): 056002-1–056002-16. doi:10.1088/1741-4326/aaaf9c
info:cnr-pdr/source/autori:Murari A.; Lungaroni M.; Peluso E.; Gaudio P.; Vega J.; Dormido-Canto S.; Baruzzo M.; Gelfusa M./titolo:Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET/doi:10.1088%2F1741-4326%2Faaaf9c/rivista:Nuclear fusion/anno:2018/pagina_da:056002-1/pagina_a:056002-16/intervallo_pagine:056002-1–056002-16/volume:58

مصطلحات موضوعية: Nuclear and High Energy Physics, Decision support system, media_common.quotation_subject, education, support systems, Decision support systems, Machine learning, computer.software_genre, decision, 01 natural sciences, 114 Physical sciences, 010305 fluids & plasmas, disruptions, probabilistic SVM, machine learning predictors, decision support systems, 0103 physical sciences, Settore ING-IND/10 - Fisica Tecnica Industriale, Quality (business), 010306 general physics, media_common, Interpretability, Flexibility (engineering), Probabilistic SVM, business.industry, Settore ING-IND/18 - Fisica dei Reattori Nucleari, Probabilistic logic, Condensed Matter Physics, Support vector machine, Disruptions, Anticipation (artificial intelligence), Control system, Machine learning predictors, Artificial intelligence, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2847a7a9ce52b16905010c2d4ed412dTest

المؤلفون: Murari, A., Lungaroni, M., Gelfusa, M., Peluso, E., Vega, J., Abduallev, S., Abhangi, M., Abreu, P., Afanasev, V, Afzal, M., Aggarwal, K. M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Alarcon, T., Albanese, R., Alegre, D., Aleiferis, S., Alessi, E., Aleynikov, P., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V, Sunden, E. Andersson, Andrews, R., Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arshad, S., Artaud, J., Arter, W., Ash, A., Ashikawa, N., Aslanyan, V, Asunta, O., Asztalos, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M., Ayres, C., Baciero, A., Baiao, D., Balboa, I, Balden, M., Balshaw, N., Bandaru, V. K., Banks, J., Baranov, Y. F., Barcellona, C., Barnard, T., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V, Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P. S., Beckers, M., Beckett, B., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Belonohy, E., Benayas, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besiliu, C., Betar, H., Beurskens, M., Bielecki, J., Biewer, T., Bilato, R., Biletskyi, O., Bilkova, P., Binda, F., Birkenmeier, G., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V, Boboc, A., Bogar, O., Bohm, P., Bohm, T., Bolshakova, I, Bolzonella, T., Bonanomi, N., Boncagni, L., Bonfiglio, D., Bonnin, X., Boom, J., Borba, D., Borodin, D., Borodkina, I, Boulbe, C., Bourdelle, C., Bowden, M., Bowman, C., Boyce, T., Boyer, H., Bradnam, S. C., Braic, V, Bravanec, R., Breizman, B., Brennan, D., Breton, S., Brett, A., Brezinsek, S., Bright, M., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, B., Brunetti, D., Bruno, E., Buch, J., Buchanan, J., Buckingham, R., Buckley, M., Bucolo, M., Budny, R., Bufferand, H., Buller, S., Bunting, P., Buratti, P., Burckhart, A., Burroughes, G., Buscarino, A., Busse, A., Butcher, D., Butler, B., Bykov, I, Cahyna, P., Calabro, G., Calacci, L., Callaghan, D., Callaghan, J., Calvo, I, Camenen, Y., Camp, P., Campling, D. C., Cannas, B., Capat, A., Carcangiu, S., Card, P., Cardinali, A., Carman, P., Carnevale, D., Carr, M., Carralero, D., Carraro, L., Carvalho, B. B., Carvalho, I, Carvalho, P., Carvalho, D. D., Casson, F. J., Castaldo, C., Catarino, N., Causa, F., Cavazzana, R., Cave-Ayland, K., Cavedon, M., Cecconello, M., Ceccuzzi, S., Cecil, E., Challis, C. D., Chandra, D., Chang, C. S., Chankin, A., Chapman, I. T., Chapman, B., Chapman, S. 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R., Corradino, C., Corre, Y., Corrigan, G., Coster, D., Craciunescu, T., Cramp, S., Crapper, C., Crisanti, F., Croci, G., Croft, D., Crombe, K., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curson, P., Curuia, M., Czarnecka, A., Czarski, T., Cziegler, I, Dabirikhah, H., Dal Molin, A., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., David, P., Davies, A., Davis, W., Dawson, K., Day, I, Day, C., De Bock, M., de Castro, A., De Dominici, G., de la Cal, E., de la Luna, E., De Masi, G., De Temmerman, G., De Tommasi, G., de Vries, P., Deane, J., Dejarnac, R., Del Sarto, D., Delabie, E., Demerdzhiev, V, Dempsey, A., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dickinson, D., Dinca, P., Dittmar, T., Dobrashian, J., Doerk, H., Doerner, R. P., Domptail, F., Donne, T., Dorling, S. 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المساهمون: Murari, A, Lungaroni, M, Gelfusa, M, Peluso, E, Vega, J, Abduallev, S, Abhangi, M, Abreu, P, Afanasev, V, Afzal, M, Aggarwal, Km, Ahlgren, T, Aho-Mantila, L, Aiba, N, Airila, M, Alarcon, T, Albanese, R, Alegre, D, Aleiferis, S, Alessi, E, Aleynikov, P, Alkseev, A, Allinson, M, Alper, B, Alves, E, Ambrosino, G, Ambrosino, R, Amosov, V, Sunden, Ea, Andrews, R, Angelone, M, Anghel, M, Angioni, C, Appel, L, Appelbee, C, Arena, P, Ariola, M, Arshad, S, Artaud, J, Arter, W, Ash, A, Ashikawa, N, Aslanyan, V, Asunta, O, Asztalos, O, Auriemma, F, Austin, Y, Avotina, L, Axton, M, Ayres, C, Baciero, A, Baiao, D, Balboa, I, Balden, M, Balshaw, N, Bandaru, Vk, Banks, J, Baranov, Yf, Barcellona, C, Barnard, T, Barnes, M, Barnsley, R, Wiechec, Ab, Orte, Lb, Baruzzo, M, Basiuk, V, Bassan, M, Bastow, R, Batista, A, Batistoni, P, Baumane, L, Bauvir, B, Baylor, L, Beaumont, P, Beckers, M, Beckett, B, Bekris, N, Beldishevski, M, Bell, K, Belli, F, Belonohy, E, Benayas, J, Bergsaker, H, 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المصدر: Nuclear Fusion
Nuclear fusion (Online) 59 (2019): 086037-1–086037-11. doi:10.1088/1741-4326/ab1ecc
info:cnr-pdr/source/autori:Murari A.; Lungaroni M.; Gelfusa M.; Peluso E.; Vega J./titolo:Adaptive learning for disruption prediction in non-stationary conditions/doi:10.1088%2F1741-4326%2Fab1ecc/rivista:Nuclear fusion (Online)/anno:2019/pagina_da:086037-1/pagina_a:086037-11/intervallo_pagine:086037-1–086037-11/volume:59

مصطلحات موضوعية: Nuclear and High Energy Physics, Computer science, ensembles of classifiers, Machine learning, computer.software_genre, disruptions, 01 natural sciences, 010305 fluids & plasmas, obsolescence, Ensembles of classifiers, Stationary conditions, 0103 physical sciences, 010306 general physics, de-learning, Jet (fluid), business.industry, machine learning predictors, adaptive training, JET, Settore ING-IND/18 - Fisica dei Reattori Nucleari, machine learning predictor, Condensed Matter Physics, disruption, Obsolescence, Artificial intelligence, Adaptive learning, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ffaeccb41f7061d039b6ed461780ca8Test
https://hdl.handle.net/11591/493813Test