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1 |
Deep learning registration of non-rigid objects in medical AR applications - optimization of methods and data
Greipel, Julian. - Landshut : Hochschule für Angewandte Wissenschaften Landshut, 2024
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2 |
Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
Enthalten in Journal of intelligent systems Bd. 33, 2024, Nr. 1. 45 S.
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3 |
Deep Learning Methods in Soft Robotics: Architectures and Applications
Enthalten in Advanced intelligent systems 11.11.2024. 30 S.
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4 |
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
Enthalten in Artificial intelligence review 5.8.2023: 1-61
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5 |
Deep learning methods for flood mapping: a review of existing applications and future research directions
Enthalten in Hydrology and earth system sciences Bd. 26, 2022, Nr. 16: 4345-4378. 34 S.
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6 |
Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions
Enthalten in Hydrology and earth system sciences discussions 13.12.2021: 1-43. 43 S.
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7 |
Scalable 3D deep learning: methods and applications
Tatarchenko, Maxim. - Freiburg : Universität, 2020
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8 |
Machine learning and deep learning methods for wireless network applications
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2022, 29.11.2022, Nr. 1, date:12.2022: 1-4
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