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Issue DateTitleAuthor(s)
1987Mach, ErnstHentschel, Klaus
2019Machine learning and Monte Carlo based data analysis methods in cosmic dust researchAlbin, Thomas
2018A machine learning approach to model solute grain boundary segregationHuber, Liam; Hadian, Raheleh; Grabowski, Blazej; Neugebauer, Jörg
2020Machine Learning basierte Response Style Identifikation: eine simulations-statistische PilotstudieKrause, Thomas
2014Machine learning methods for fault classificationGosavi, Siddharth Sunil
2017Machine learning support for logic diagnosisRodríguez Gómez, Laura
2018Machine question answering with attention-based convolutional neural networksBlohm, Matthias
2019Machine translation with transformersNguyen, Truong Thinh
2011Machine-Learning-basiertes Framework für eine GeschäftsprozesssimulationPanos, Michael
1994Machining bores with milldrilling and millboringHeisel, Uwe; Ruziczka, Gunter
2013Macroscopic quantum tunneling in Bose-Einstein condensatesSchwidder, Torsten
1987MAD : ein Datenmodell für den Kern eines Non-Standard-DatenbanksystemsMitschang, Bernhard
1989Magnet-Flüssigkeitsdichtung - Patent SU 1143914 A vom 7.3.1985Sizov, A. P.; Kiselev, I. A.; Nogovicin, A. G.; Sobolev, I. D.
1989Magnetflüssigkeitsdichtung - Patent SU 1176123 A vom 15.12.1986Lekomcev, G. A.; Orlov, D. V.
1989Magnetflüssigkeitsdichtung - Patent SU 916845 vom 30.3.1982Lekomcev, G. A.; Orlov, D. V.
2017Magnetic and structural properties of barium hexaferrite BaFe12O19 from various growth techniquesVinnik, Denis A.; Tarasova, Aleksandra Yu.; Zherebtsov, Dmitry A.; Gudkova, Svetlana A.; Galimov, Damir M.; Zhivulin, Vladimir E.; Trofimov, Evgeny A.; Nemrava, Sandra; Perov, Nikolai S.; Isaenko, Ludmila I.; Niewa, Rainer
2016Magnetic and transport properties of YBa2Cu3O7 - La0.7Ca0.3MnO3 heterostructuresMustafa, Luqman
2009Magnetic anisotropy of molecular nanomagnetsHallak, Fadi el
2016Magnetic resonance spectroscopy for the determination of magnetic anisotropyMarx, Raphael
2009Magnetic resonant reflectometry on exchange bias systemsBrück, Sebastian