Zobrazeno 1 - 10
of 697
pro vyhledávání: '"Wang Chaofan"'
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The manipulator is the key component of the anchor drilling robot to automatically complete the anchoring operation underground. Due to the complexity of its motion equation and the limitations of its control strategy, the real-time pose and the posi
Externí odkaz:
https://doaj.org/article/4a140f63e34e4f48a513a6b104e39080
In the shift towards human-centered manufacturing, our two-year longitudinal study investigates the real-world impact of deploying Cognitive Assistants (CAs) in factories. The CAs were designed to facilitate knowledge sharing among factory operators.
Externí odkaz:
http://arxiv.org/abs/2409.20192
Conversational Assistants (CA) are increasingly supporting human workers in knowledge management. Traditionally, CAs respond in specific ways to predefined user intents and conversation patterns. However, this rigidness does not handle the diversity
Externí odkaz:
http://arxiv.org/abs/2402.04955
Autor:
Freire, Samuel Kernan, Wang, Chaofan, Foosherian, Mina, Wellsandt, Stefan, Ruiz-Arenas, Santiago, Niforatos, Evangelos
Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to
Externí odkaz:
http://arxiv.org/abs/2401.05200
Autor:
Wang, Chaofan, Freire, Samuel Kernan, Zhang, Mo, Wei, Jing, Goncalves, Jorge, Kostakos, Vassilis, Sarsenbayeva, Zhanna, Schneegass, Christina, Bozzon, Alessandro, Niforatos, Evangelos
ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data. However, this means that they also have the potential for misuse, specifically to automatica
Externí odkaz:
http://arxiv.org/abs/2306.08833
Autor:
Wang, Chaofan, Jiang, Weiwei, Yang, Kangning, Sarsenbayeva, Zhanna, Tag, Benjamin, Dingler, Tilman, Goncalves, Jorge, Kostakos, Vassilis
Hand hygiene has long been promoted as the most effective way to prevent the transmission of infection. However, due to the low compliance and quality of hand hygiene reported in previous studies, constant monitoring of healthcare workers' hand hygie
Externí odkaz:
http://arxiv.org/abs/2302.02233
Study on seismic fragility of prefabricated columns connected by grouted sleeves based on IDA method
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 3, pp. 539-560.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-12-2023-0142
Autor:
Wu, Nan, Wang, Chaofan
Heterogeneous graph neural networks (HGNNs) have attracted increasing research interest in recent three years. Most existing HGNNs fall into two classes. One class is meta-path-based HGNNs which either require domain knowledge to handcraft meta-paths
Externí odkaz:
http://arxiv.org/abs/2209.00610
Autor:
Wu, Nan, Wang, Chaofan
We propose Graph Tree Networks (GTNets), a deep graph learning architecture with a new general message passing scheme that originates from the tree representation of graphs. In the tree representation, messages propagate upward from the leaf nodes to
Externí odkaz:
http://arxiv.org/abs/2204.12802
Publikováno v:
In Construction and Building Materials 13 December 2024 455