A deep neural network for classification of melt-pool images in metal additive manufacturing (English)
- New search for: Kwon, Ohyung
- New search for: Kim, Hyung Giun
- New search for: Ham, Min Ji
- New search for: Kim, Wonrae
- New search for: Kim, Gun-Hee
- New search for: Cho, Jae-Hyung
- New search for: Kim, Nam Il
- New search for: Kim, Kangil
- New search for: Kwon, Ohyung
- New search for: Kim, Hyung Giun
- New search for: Ham, Min Ji
- New search for: Kim, Wonrae
- New search for: Kim, Gun-Hee
- New search for: Cho, Jae-Hyung
- New search for: Kim, Nam Il
- New search for: Kim, Kangil
In:
Journal of Intelligent Manufacturing
;
31
, 2
;
375-386
;
2020
- Article (Journal) / Electronic Resource
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Title:A deep neural network for classification of melt-pool images in metal additive manufacturing
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Additional title:J Intell Manuf
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Contributors:Kwon, Ohyung ( author ) / Kim, Hyung Giun ( author ) / Ham, Min Ji ( author ) / Kim, Wonrae ( author ) / Kim, Gun-Hee ( author ) / Cho, Jae-Hyung ( author ) / Kim, Nam Il ( author ) / Kim, Kangil ( author )
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Published in:Journal of Intelligent Manufacturing ; 31, 2 ; 375-386
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Publisher:
- New search for: Springer US
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Place of publication:New York
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Publication date:2020-02-01
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Size:12 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 31, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 269
-
Resilient manufacturingKusiak, Andrew et al. | 2019
- 271
-
QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profileAvikal, Shwetank / Singh, Rohit / Rashmi, Rashmi et al. | 2018
- 285
-
Condition monitoring and prediction of solution quality during a copper electroplating processGranados, Gerardo Emanuel / Lacroix, Loïc / Medjaher, Kamal et al. | 2018
- 301
-
Ontology-based module selection in the design of reconfigurable machine toolsMing, Zhenjun / Zeng, Cong / Wang, Guoxin / Hao, Jia / Yan, Yan et al. | 2018
- 319
-
Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturingKang, Seokho et al. | 2018
- 327
-
Fused magnesia manufacturing process: a surveyYang, Jie / Lu, Shaowen / Wang, Liangyong et al. | 2018
- 351
-
Joint optimization of capacity, production and maintenance planning of leased machinesHajej, Zied / Rezg, Nidhal / Askri, Tarek et al. | 2018
- 375
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A deep neural network for classification of melt-pool images in metal additive manufacturingKwon, Ohyung / Kim, Hyung Giun / Ham, Min Ji / Kim, Wonrae / Kim, Gun-Hee / Cho, Jae-Hyung / Kim, Nam Il / Kim, Kangil et al. | 2018
- 387
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Adapting Thurstone’s Law of Comparative Judgment to fuse preference orderings in manufacturing applicationsFranceschini, F. / Maisano, D. et al. | 2018
- 403
-
Failure time prediction using adaptive logical analysis of survival curves and multiple machining signalsElsheikh, Ahmed / Yacout, Soumaya / Ouali, Mohamed-Salah / Shaban, Yasser et al. | 2018
- 417
-
Adaptive job shop scheduling strategy based on weighted Q-learning algorithmWang, Yu-Fang et al. | 2018
- 433
-
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentationLi, Xiang / Zhang, Wei / Ding, Qian / Sun, Jian-Qiao et al. | 2018
- 453
-
Solar cell surface defect inspection based on multispectral convolutional neural networkChen, Haiyong / Pang, Yue / Hu, Qidi / Liu, Kun et al. | 2018
- 469
-
A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demandLi, Zhi / Barenji, Ali Vatankhah / Jiang, Jiazhi / Zhong, Ray Y. / Xu, Gangyan et al. | 2018
- 481
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Optimization of cutting conditions using an evolutive online procedureDel Prete, Antonio / Franchi, Rodolfo / Cacace, Stefania / Semeraro, Quirico et al. | 2019
- 501
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A model for assessment of the impact of configuration changes in complex productsZheng, Yu-jie / Yang, Yu / Zhang, Na et al. | 2019