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wt Werkstattstechnik online

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wt Volume 112 (2022) Issue 03 ISSN Online: 1436-4980

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Michael K. Kick, Christian Stadter, Tony Weiß, Maximilian Backenstos, Michael F. Zäh Erklärbare KI für produktionstechnische Anwendungen/Explainable AI for applications in production engineering S. 173-177

„… the weld seam is hardly possible. Artificial neural networks, on the other hand, are able to identify …” „… Hypothesis: Finding Sparse, Trainable Neural Networks. Conference paper at ICLR 2019. Internet: arxiv.org/pdf …” „… explaining: A novel criterion for deep neural network pruning. Pattern Recognition 115 (2021) 12, # 107899D A …”

doi.org/10.37544/1436-4980-2022-03

VDI Wissensforum GmbH - LAND.TECHNIK AgEng 2019

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VDI Wissensforum GmbH (ed.)

LAND.TECHNIK AgEng 2019

Series: VDI-Berichte

Volume 2361 2019

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T. M. J. Ruigrok, L. Voorhoeve , G. Kootstra, E. J. van Henten A robust plant localization and identification system for precision farming – The effects of uncontrolled illumination on an end-to-end deep-learning plant detection algorithm S. 383-390

„… a fully convolutional neural network,” Adv. Anim. Biosci., vol. 8, no. 02, pp. 842–847, 2017. [7 …” „… for monitoring field using convolutional neural networks.,” in ISPRS Annals of Photogrammetry, Remote …” „… . Behley, A. Milioto, and C. Stachniss, “Fully Convolutional Networks with Sequential Information for …”

doi.org/10.51202/9783181023617

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wt Werkstattstechnik online

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wt Volume 113 (2023) Issue 06 ISSN Online: 1436-4980

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Marco Hussong, Moritz Glatt, Jan C. Aurich Deep Transfer Learning in der Arbeitsplanung/Deep transfer learning in process planning – A concept for applying deep transfer learning in process planning using the example of manufacturing operations selection S. 224-228

„… projizier-ten Ansichten werden oftmals ANN in Form von Convolutional Neural Networks (CNN) eingesetzt, die als …” „… : deep artificial neural networks, ANN), die Zusammenhänge in Daten durch Training erfassen können und …” „… (2017) 12, S. 827–830[2] Natarajan, K.; Gokulachandran, J.: Application of artificial neural net-work …”

Marius Marvin Müller, Shradha Ghansiyal, Marc Huber, Benjamin Kirsch, Moritz Glatt, Jan C. Aurich Ein Konzept zur Entwicklung eines wirtschaftlicheren PBF-LB/Approach for a more economical PBF-LB – Increasing the economic efficiency of additive manufacturing S. 237-241

„… Netz für die numerischen Daten und ein Convolutional Neural Network für die Aufnahmen des …”

doi.org/10.37544/1436-4980-2023-06

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VDI Wissensforum GmbH (ed.)

Automation 2022

Series: VDI-Berichte

Volume 2399 2022

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R. Gitzel, T. Kozel Hot Spot Detection in Electrical Equipment using the Inverse Pixel Count Algorithm S. 479-490

„… ], [2], [3], [4], [5]). There are also examples of neural networks ([1], [4]). Convolutional neural …” „… , S.; and Li, Y. 2019. Fault Diagnosis of Gear-box based on Convolutional Neural Network and …” „… International Forum on Applications of Neural Networks to Power Systems, 1993, pp. 187–192. [7] Bagavathiappan …”

A. Charizanis, M. Müller, M. Weyrich, H. Mettler Validierung von sicherheitsrelevanten KI-Systemen in der Pharmabranche S. 561-580

„… for Testing Deep Neural Networks? : Zenodo, 2020 [25] Xie, Xiaoyuan ; Ho, Joshua W. K. ; Murphy …” „… Visual Explanations for Deep Convolutional Networks (2018), S. 839–847. URL http://arxiv.org/pdf …” „… stammen. Dies wird mithilfe eines antrainierten GAN-Diskriminators („Generative adversarial network“ – GAN …”

doi.org/10.51202/9783181023990

VDI Wissensforum GmbH - Wissenstransfer Zerspanung 2019

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VDI Wissensforum GmbH (ed.)

Wissenstransfer Zerspanung 2019

Series: VDI-Berichte

Volume 2362 2019

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T. Bergs, D. Schraknepper, M. Schwenzer Errungenschaften, Rückschläge und zukünftige Anwendungen des maschinellen Lernens in der Zerspanung S. 65-80

„… ) Convolutional Neural Networks (CNN) zur Bildsegmentierung Anhand vieler Beispiele erlernt der Algorithmus wie …” „… : Convolutional Networks for Biomedical Image Segmentation. In: arXiv:1505.04597 [cs] (2015). — arXiv: 1505.04597 …” „… supervised learning Neural Evolution Artificial Intelligence Machine learning Evolutionary algorithms Virtual …”

doi.org/10.51202/9783181023624

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