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The usage and impact of deep learning for cleaner production and sustainability purposes remain little explored. This work shows how deep learning can be harnessed to increase sustainability in production and product usage. Specifically, we utilize d
Externí odkaz:
http://arxiv.org/abs/2303.13540
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effective and efficient AI-based systems. The objective of this article is
Externí odkaz:
http://arxiv.org/abs/2212.11854
Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of critical objects. Nowadays, CV increasingly relies on artificial intelli
Externí odkaz:
http://arxiv.org/abs/2104.11600
Sustainability is the key concept in the management of products that reached their end-of-life. We propose that end-of-life products have -- besides their value as recyclable assets -- additional value for producer and consumer. We argue this is espe
Externí odkaz:
http://arxiv.org/abs/2008.01053
Convolutional neural networks have shown to achieve superior performance on image segmentation tasks. However, convolutional neural networks, operating as black-box systems, generally do not provide a reliable measure about the confidence of their de
Externí odkaz:
http://arxiv.org/abs/2007.07129
Reverse Vending Machines (RVMs) are a proven instrument for facilitating closed-loop plastic packaging recycling. A good customer experience at the RVM is crucial for a further proliferation of this technology. Bin full events are the major reason fo
Externí odkaz:
http://arxiv.org/abs/2003.13304
Akademický článek
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Publikováno v:
Business & information systems engineering, 64 (6), 707–728
With the ever-increasing societal dependence on electricity, one of the critical tasks in power supply is maintaining the power line infrastructure. In the process of making informed, cost-effective, and timely decisions, maintenance engineers must r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d088e01db84cb375bda98097a3b45f
https://doi.org/10.1007/s12599-022-00745-z
https://doi.org/10.1007/s12599-022-00745-z
Autor:
Walk, Jannis
Unstructured data accounts for 80-90% of all data generated, with image data contributing its largest portion. In recent years, the field of computer vision, fueled by deep learning techniques, has made significant advances in exploiting this data to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e09aa8217a894f4449a5a2fd325706dd
https://publikationen.bibliothek.kit.edu/1000158840
https://publikationen.bibliothek.kit.edu/1000158840
Autor:
Haude, Jan, Engel, Christian, Hottum, Peter, Hunke, Fabian, Kühl, Niklas, Lamberth-Cocca, Sabrina, Martin, Dominik, Scheurenbrand, Jan, Schüritz, Ronny, Stryja, Carola, Walk, Jannis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8769dbbba8cfbd05c2637d0df367e605