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Artikel 31 Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks
Enthalten in Scientific reports Bd. 12, 23.12.2022, Nr. 1, date:12.2022: 1-11
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Artikel 32 Enhanced detection of surface deformations in LPBF using deep convolutional neural networks and transfer learning from a porosity model
Enthalten in Scientific reports Bd. 14, 6.11.2024, Nr. 1, date:12.2024: 1-15
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Artikel 33 Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks
Enthalten in Scientific reports Bd. 15, 13.3.2025, Nr. 1, date:12.2025: 1-28
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Artikel 34 Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networks
Enthalten in Artificial intelligence review Bd. 58, 11.4.2025, Nr. 7, date:7.2025: 1-31
Online Ressource
Artikel 35 Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural networks
Enthalten in The international journal of advanced manufacturing technology Bd. 124, 8.12.2022, Nr. 7-8, date:2.2023: 2229-2259
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Artikel 36 Neural networks and arbitrage in the VIX
Enthalten in Digital finance Bd. 2, 13.8.2020, Nr. 1-2, date:9.2020: 97-115
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Artikel 37 Prediction of activity and specificity of CRISPR-Cpf1 using convolutional deep learning neural networks
Enthalten in BMC bioinformatics Bd. 20, 13.6.2019, Nr. 1, date:12.2019: 1-10
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Artikel 38 Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks
Enthalten in Scientific reports Bd. 8, 19.9.2018, Nr. 1, date:12.2018: 1-11
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Artikel 39 Recognition of eye diseases based on deep neural networks for transfer learning and improved D-S evidence theory
Enthalten in BMC medical imaging Bd. 24, 18.1.2024, Nr. 1, date:12.2024: 1-14
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Artikel 40 Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques
Enthalten in International journal of computational intelligence systems Bd. 18, 2.6.2025, Nr. 1, date:12.2025: 1-30
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