Overview of publications Publications

Dominic Hohs, Gerhard Martinek, Ralf Loeffler, Dagmar Goll, Gerhard Schneider ISSN: 2158-3226,

Nebojša Nešić, Xavier Heiligenstein, Lydia Zopf, Valentin Blüml, Katharina S. Keuenhof, Michael Wagner, Johanna L. Höög, Heng Qi, Zhiyang Li, Georgios Tsaramirsis, Christopher J. Peddie, Miloš Stojmenović, Andreas Walter ISSN: 1059-910X,

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Leon Stütz, Lennart Kopp, Max Ludwig, Markus Kley

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Mahyar Mahinzaeim, Gen Qi Xu, Xiao Xuan Feng ISSN: 0044-2267,

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Daniel Hieber, Nico Haisch, Gregor Grambow, Felix Holl, Friederike Liesche-Starnecker, Rüdiger Pryss, Jürgen Schlegel, Johannes Schobel ISBN: 9781643685335,

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Franziska Schweikert, Steffen Kreikemeier, Lena Eipert ISSN: 2628-9083, URN: urn:nbn:de:0183-zaud0000553,

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Kishansinh Rathod, Sankeerth Desapogu, Andreas Jansche, Timo Bernthaler, Gerhard Schneider, Daniel Braun, Stephan Diez ISSN: 1537-0755,

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Martin Fenker, Lisa-Marie Weinhold, Joachim Albrecht, Holger Kaßner ISSN: 2616-647X,

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Manfred Rössle, Stefan Pohl ISSN: 2241-8466,

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Carsten Lecon ISSN: 2241-7958,

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Overview of publications Publications

2061 publications found

Analysis of the influence of abnormally grown grains on demagnetization behavior of FeNdB sintered magnets

Automated segmentation of cell organelles in volume electron microscopy using deep learning

Fundamentals for the Development and Testing of Electrical Contacts in the Electrified Drive System in the Area of Conflict between Increased Product Diversity and Higher Currents

The Riesz basisness of the eigenfunctions and eigenvectors connected to the stability problem of a fluid-conveying tube with boundary control

Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation

Comparison of the Oldenburg Sentence Test and the German Hearing in Noise Test

Nondestructive Defect Detection in 3D X-ray Microscopy Data of Ball Grid Array Solder for Void Detection in Solder Joints using Deep Learning

First optimization steps for the Nanocluster Synthesis of Platinum-Yttrium Alloys

Quality Testing in Aluminum Die-Casting – A Novel Approach using Acoustic Data in Neural Networks

Supporting Distributed Learning through Immersive Learning Environments