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Statusreport: Chancen mit Big Data -- Best Practice

J. Gebhardt, T. Froese, A. Krüger, J. Appel, R. Benner, M. Hammer, A. Altermann, T. Hochrein, C. Kugler, P. Jatzkowski, Y. Gloy, M. Saggiomo, R. Roth, I. Elixmann, H. Tapken, W. Weber, M. Atzmueller, J. Garcke, J. Pielmeier, R. Rosen, and H. Tercan. VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, (2016)

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Istabrak Hasan

Mahamudul Hasan

Maen Khaled Amin Hasan

Alkomiet Hasan

Sasa Hasan

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Fault Detection in Railway Switches using Deformable Convolutional Neural Networks.R. Maack, H. Tercan, A. Solvay, M. Mieth, and T. Meisen. INDIN, page 1-6. IEEE, (2021)Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer.H. Tercan, P. Deibert, and T. Meisen. J. Intell. Manuf., 33 (1): 283-292 (2022)schlably: A Python framework for deep reinforcement learning based scheduling experiments.C. de Puiseau, J. Peters, C. Dörpelkus, H. Tercan, and T. Meisen. SoftwareX, (May 2023)A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter.M. Gomes, H. Tercan, T. Bodnar, P. Meisen, and T. Meisen. HPCC/DSS/SmartCity/DependSys, page 1278-1285. IEEE, (2021)When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails.C. Bitter, H. Tercan, T. Meisen, T. Bodnar, and P. Meisen. AI4I, page 25-29. IEEE, (2021)Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application.H. Tercan, C. Bitter, T. Bodnar, P. Meisen, and T. Meisen. ICEIS (1), page 610-617. SCITEPRESS, (2021)Machine learning-based predictive quality in manufacturing processes.H. Tercan. University of Wuppertal, Germany, (2023)Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process.Y. Wang, H. Tercan, T. Hermanns, T. Thiele, T. Meisen, S. Jeschke, and W. Schulz. J. ICT Stand., 6 (3): 203-216 (2018)Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning.H. Tercan, and T. Meisen. KDD, page 4914-4923. ACM, (2023)Industrial Transfer Learning: Boosting Machine Learning in Production.H. Tercan, A. Guajardo, and T. Meisen. INDIN, page 274-279. IEEE, (2019)

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Disambiguation of "Tercan, Hasan"

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Statusreport: Chancen mit Big Data -- Best Practice

Please choose a person to relate this publication to

Istabrak Hasan

Mahamudul Hasan

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Alkomiet Hasan

Sasa Hasan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tercan, Hasan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Statusreport: Chancen mit Big Data -- Best Practice

Please choose a person to relate this publication to

Istabrak Hasan

Mahamudul Hasan

Maen Khaled Amin Hasan

Alkomiet Hasan

Sasa Hasan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Statusreport: Chancen mit Big Data -- Best Practice