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date accessioned2022-08-18T12:52:39Z
date available2022-08-18T12:52:39Z
date copyright6/27/2022 12:00:00 AM
date issued2022
identifier issn1530-9827
identifier otherjcise_22_5_050301.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287018
description abstractAs envisioned by Industry 4.0, the next generation of smart factories and warehouses will highly depend on the collaboration between human and artificial intelligence (AI). This symbiotic partnership can augment human capabilities by providing suggestions, assistance, and explanations as needed—or can utilize direct or indirect human feedbacks in a human-in-the-loop learning framework to enhance AI learning capabilities. This Special Section aims to harvest the latest efforts in fundamental methodologies as well as their applications in human–AI partnership with specific applications for next-generation factories encompassing the design process to manufacturing, production, and inspection.
publisherThe American Society of Mechanical Engineers (ASME)
titleSpecial Issue: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories
typeJournal Paper
journal volume22
journal issue5
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4054673
journal fristpage50301-1
journal lastpage50301-2
page2
treeJournal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 005
contenttypeFulltext


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