Zobrazeno 1 - 10
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pro vyhledávání: '"Placement learning"'
Autor:
Hains-Wesson, Rachael, Ji, Kaiying
Publikováno v:
Journal of Work-Applied Management, 2024, Vol. 16, Issue 2, pp. 169-183.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JWAM-09-2023-0098
Autor:
Rachael Hains-Wesson, Kaiying Ji
Publikováno v:
Journal of Work-Applied Management, Vol 16, Iss 2, Pp 169-183 (2024)
Purpose – In this study, the authors explore students' and industry’s perceptions about the challenges and opportunities of participating in a large-scale, non-compulsory, individual, in-person and unpaid business placement programme at an Austra
Externí odkaz:
https://doaj.org/article/3a018a96efd44ec1bc88462404227a0b
Publikováno v:
Frontiers in Manufacturing Technology, 2024, 4, 1277152
Conventional defect detection systems in Automated Fibre Placement (AFP) typically rely on end-to-end supervised learning, necessitating a substantial number of labelled defective samples for effective training. However, the scarcity of such labelled
Externí odkaz:
http://arxiv.org/abs/2307.07893
Autor:
Hu, Yi, Zhang, Chaoran, Andert, Edward, Singh, Harshul, Shrivastava, Aviral, Laudon, James, Zhou, Yanqi, Iannucci, Bob, Joe-Wong, Carlee
Careful placement of a computational application within a target device cluster is critical for achieving low application completion time. The problem is challenging due to its NP-hardness and combinatorial nature. In recent years, learning-based app
Externí odkaz:
http://arxiv.org/abs/2305.14562