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  • Search: subject:"Convolutional Neural Networks (CNN)"
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Year of publication
Subject
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Convolutional neural networks (CNN) 4 Neural networks 3 Neuronale Netze 3 Candlestick 2 Convolutional Neural Networks (CNN) 2 Financial Vision 2 Flaw detection 2 Gramian Angular Field (GAF) 2 Laser Powder Bed Fusion (PBF-LB/M, L-PBF) 2 Machine learning 2 Online monitoring 2 Patterns Classification 2 SWIR thermography 2 Selective Laser Melting (SLM) 2 Theorie 2 Theory 2 Time-Series 2 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Artificial neural networks 1 Bewertung 1 Classification 1 Consumer behaviour 1 Customer satisfaction 1 Data Mining 1 Data mining 1 Deep learning 1 Emotion 1 Endogeneity 1 Evaluation 1 Extreme trees classification 1 Financial analysis 1 Finanzanalyse 1 Forecasting model 1 Internet marketing 1 Klassifikation 1 Konsumentenverhalten 1 Kundenzufriedenheit 1 Künstliche Intelligenz 1
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Online availability
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Free 5 CC license 1 Undetermined 1
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article 3 Article in journal 2 Aufsatz in Zeitschrift 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 6
Author
All
Altenburg, Simon J. 2 Breese, Philipp P. 2 Chen, Jun-Hao 2 Mohr, Gunther 2 Oster, Simon 2 Tsai, Yun-Cheng 2 Ulbricht, Alexander 2 Chakraborty, Ishita 1 Göncü, Ahmet 1 Kim, Minkyung 1 Kuzubaş, Tolga U. 1 Saltoğlu, Burak 1 Sudhir, K. 1
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Published in...
All
Journal of Intelligent Manufacturing 2 Cowles Foundation discussion paper 1 Finance research letters 1 Financial Innovation 1 Financial innovation : FIN 1
Source
All
ECONIS (ZBW) 3 EconStor 3
Showing 1 - 6 of 6
Cover Image
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706
The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity during the laser exposure. Based on the thermogram data,...
Persistent link: https://www.econbiz.de/10015179593
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Cover Image
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706
The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity during the laser exposure. Based on the thermogram data,...
Persistent link: https://www.econbiz.de/10015403246
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Cover Image
Predicting oil prices : a comparative analysis of machine learning and image recognition algorithms for trend prediction
Göncü, Ahmet; Kuzubaş, Tolga U.; Saltoğlu, Burak - In: Finance research letters 67 (2024) 2, pp. 1-9
Persistent link: https://www.econbiz.de/10015062432
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Cover Image
Encoding candlesticks as images for pattern classification using convolutional neural networks
Chen, Jun-Hao; Tsai, Yun-Cheng - In: Financial Innovation 6 (2020) 1, pp. 1-19
Candlestick charts display the high, low, opening, and closing prices in a specific period. Candlestick patterns emerge because human actions and reactions are patterned and continuously replicate. These patterns capture information on the candles. According to Thomas Bulkowski's Encyclopedia of...
Persistent link: https://www.econbiz.de/10012602860
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Cover Image
Encoding candlesticks as images for pattern classification using convolutional neural networks
Chen, Jun-Hao; Tsai, Yun-Cheng - In: Financial innovation : FIN 6 (2020) 26, pp. 1-19
Candlestick charts display the high, low, opening, and closing prices in a specific period. Candlestick patterns emerge because human actions and reactions are patterned and continuously replicate. These patterns capture information on the candles. According to Thomas Bulkowski’s Encyclopedia...
Persistent link: https://www.econbiz.de/10012268935
Saved in:
Cover Image
Attribute sentiment scoring with online text reviews : accounting for language structure and attribute self-selection
Chakraborty, Ishita; Kim, Minkyung; Sudhir, K. - 2019
Persistent link: https://www.econbiz.de/10012053024
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