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  • Search: subject:"Deep transfer learning"
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Year of publication
Subject
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Deep transfer learning 3 Forecasting model 3 Learning process 3 Lernprozess 3 Prognoseverfahren 3 Artificial intelligence 2 Bladder monitoring 2 Individualization 2 Künstliche Intelligenz 2 Neurogenic lower urinary tract dysfunction 2 Smart wearables 2 Theorie 2 Theory 2 Theory of tailorable technology design 2 deep transfer learning 2 Auxiliary Mechanisms 1 Big Data 1 Big data 1 CNN-LSTM-TL 1 Consumer behaviour 1 Customer satisfaction 1 Data Mining 1 Data mining 1 Deep Transfer Learning 1 Digital platform 1 Digitale Plattform 1 E-commerce 1 Electronic Commerce 1 Fake News 1 Industrie 1 Information dissemination 1 Informationsverbreitung 1 Internet der Dinge 1 Internet of things 1 Konsumentenverhalten 1 Kundenzufriedenheit 1 Learning 1 Lernen 1 Manipulation 1 Manufacturing industries 1
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Online availability
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Undetermined 4 Free 3
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Article 1
Language
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English 7
Author
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Fechner, Pascal 2 König, Fabian 2 Lockl, Jannik 2 Röglinger, Maximilian 2 Chen, Hsinchun 1 Fu, Zhe 1 Huang, Pengde 1 Lee, Minwoo 1 Li, Shipei 1 Liu, Changchun 1 Liu, Xuan 1 Liu, Yongkui 1 Mao, Hehua 1 Nie, Qingwei 1 Nunamaker, Jay F. 1 Qu, Hai 1 Samtani, Sagar 1 Shan, Guohou 1 Tang, Dunbing 1 Tao, Haizhen 1 Wang, Pei 1 Wang, Tao 1 Zhang, Dongsong 1 Zhang, Yi 1 Zhou, Lina 1 Zhu, Haihua 1 Zhu, Hongyi 1
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Published in...
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International journal of production research 2 Business & Information Systems Engineering 1 Business & information systems engineering 1 International journal of networking and virtual organisations : IJNVO 1 Journal of management information systems : JMIS 1 Production and operations management : the flagship research journal of the Production and Operations Management Society 1
Source
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ECONIS (ZBW) 6 EconStor 1
Showing 1 - 7 of 7
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MT-GPD : a multimodal deep transfer learning model enhanced by auxiliary mechanisms for cross-domain online fake news detection
Zhang, Dongsong; Shan, Guohou; Lee, Minwoo; Zhou, Lina; … - In: Production and operations management : the flagship … 34 (2025) 8, pp. 2448-2470
Persistent link: https://www.econbiz.de/10015482787
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How artificial intelligence challenges tailorable technology design
Fechner, Pascal; König, Fabian; Lockl, Jannik; … - In: Business & information systems engineering 66 (2024) 3, pp. 357-376
Persistent link: https://www.econbiz.de/10014582618
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Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning
Wang, Pei; Huang, Pengde; Tao, Haizhen; Liu, Yongkui; … - In: International journal of production research 63 (2025) 6, pp. 2058-2089
Persistent link: https://www.econbiz.de/10015422079
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How Artificial Intelligence Challenges Tailorable Technology Design
Fechner, Pascal; König, Fabian; Lockl, Jannik; … - In: Business & Information Systems Engineering 66 (2024) 3, pp. 357-376
Artificial intelligence (AI) has significantly advanced healthcare and created unprecedented opportunities to enhance patient-centeredness and empowerment. This progress promotes individualized medicine, where treatment and care are tailored to each patient’s unique needs and characteristics....
Persistent link: https://www.econbiz.de/10015376550
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Research on consumer satisfaction prediction of e-commerce social platforms based on deep transfer learning
Mao, Hehua - In: International journal of networking and virtual … 29 (2023) 3/4, pp. 229-243
Persistent link: https://www.econbiz.de/10015066164
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A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing
Liu, Changchun; Zhu, Haihua; Tang, Dunbing; Nie, Qingwei; … - In: International journal of production research 61 (2023) 12, pp. 4045-4068
Persistent link: https://www.econbiz.de/10014372844
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Human identification for activities of daily living : a deep transfer learning approach
Zhu, Hongyi; Samtani, Sagar; Chen, Hsinchun; Nunamaker, … - In: Journal of management information systems : JMIS 37 (2020) 2, pp. 457-483
Persistent link: https://www.econbiz.de/10012262561
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