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  • Search: subject:"Deep convolutional neural network"
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Year of publication
Subject
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Deep convolutional neural network 4 Neural networks 2 Neuronale Netze 2 Theorie 2 Theory 2 Breast cancer 1 Cast iron 1 Cast part tracking 1 Code reading 1 Deep learning 1 Digitalization 1 Fault diagnosis 1 Gearbox 1 Labeling 1 Late fusion 1 Machinery condition monitoring 1 Model structure 1 Multi-magnification 1 Signal representation 1 Vibrational signal 1 Wavelet packet decomposition 1 classification 1 deep convolutional neural network 1 handheld Scanner 1 ice clouds 1 ice crystals 1 transfer learning 1
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Online availability
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Free 3 Undetermined 2 CC license 1
Type of publication
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Article 5
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2 research-article 1
Language
All
English 5
Author
All
Beck, Michael 1 Chee Kiong Sia 1 He, Qianshan 1 Huang, Zuguang 1 Idri, Ali 1 Lai Kee Huong 1 Layh, Michael 1 Liu, Pu 1 Ma, Yulin 1 Miao, Lijuan 1 Nakach, Fatima-Zahrae 1 Nebauer, Markus 1 Ong, Pauline 1 Pinzer, Bernd R. 1 Tan Yean Keong 1 Wang, Jinjiang 1 Xiao, Haixia 1 Xue, Ruijuan 1 Yan, Fei 1 Yang, Zhipeng 1 Zerouaoui, Hasnae 1 Zhang, Feng 1 Zhao, Rui 1
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Published in...
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Business & information systems engineering : BISE ; the international journal of Wirtschaftsinformatik 1 Data Technologies and Applications 1 Decision analytics journal 1 Earth and Space Science 1 Journal of Intelligent Manufacturing 1
Source
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ECONIS (ZBW) 2 EconStor 2 Other ZBW resources 1
Showing 1 - 5 of 5
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A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
Ong, Pauline; Tan Yean Keong; Lai Kee Huong; Chee Kiong Sia - In: Decision analytics journal 7 (2023), pp. 1-9
of the entire mechanical system is of imperative importance. This study proposes a one-dimensional deep convolutional … neural network (1D-DCNN) to learn features directly from the vibrational signals and identify the gear fault under different …
Persistent link: https://www.econbiz.de/10014436400
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A novel tracking system for the iron foundry field based on deep convolutional neural networks
Beck, Michael; Layh, Michael; Nebauer, Markus; Pinzer, … - In: Journal of Intelligent Manufacturing 33 (2022) 7, pp. 2119-2128
handheld scanner. With a deep convolutional neural network approach of object detection and classification, a stable image …
Persistent link: https://www.econbiz.de/10015165478
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Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning
Nakach, Fatima-Zahrae; Zerouaoui, Hasnae; Idri, Ali - In: Data Technologies and Applications 57 (2023) 5, pp. 668-695
Purpose Histopathology biopsy imaging is currently the gold standard for the diagnosis of breast cancer in clinical practice. Pathologists examine the images at various magnifications to identify the type of tumor because if only one magnification is taken into account, the decision may not be...
Persistent link: https://www.econbiz.de/10014712737
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Classification of ice crystal habits observed from airborne Cloud Particle Imager by deep transfer learning
Xiao, Haixia; Zhang, Feng; He, Qianshan; Liu, Pu; Yan, Fei - In: Earth and Space Science 6 (2019) 10, pp. 1877-1886
deep convolutional neural network based on the newly developed method of transfer learning. The results show that the TL …
Persistent link: https://www.econbiz.de/10012140657
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Performance analysis and enhancement of deep convolutional neural network
Wang, Jinjiang; Ma, Yulin; Huang, Zuguang; Xue, Ruijuan; … - In: Business & information systems engineering : BISE ; the … 61 (2019) 3, pp. 311-326
Persistent link: https://www.econbiz.de/10012028158
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