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Liu Ka Chun

As seen in: Wiley Online Library, Global Times
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Articles

An SBERT-LDA Framework With FADC-Based Semantic Aggregation for Short-Text Topic Modeling of Online Public Opinion on Energy Enterprises

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By Liu Ka Chun, Jiakun Wang, Yibo Zhao
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The code implementing the method presented herein is available on Hugging Face at https://huggingface.co/datasets/shiinazhao/paper-repository/tree/main. References 1 and , “Governance and Performance in Romanian Energy Companies,” Energies 16, no. 13 (2023): 5041, https://doi.org/10.3390/en16135041.
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Defining dance creation in era of generative AI

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By Liu Ka Chun
| Global Times Verified
Illustration: Liu Xiangya/GT Editor's Note: Does dance need artificial intelligence (AI)? This seems to be a reboot of the age-old question concerning technological innovation and artistic expression. Finding the answer to this question has been an ongoing process and the current "AI revolution" is merely another exploration of the boundaries of this topic.
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Mechanical behaviour and fracture evolution of coal specimens containing an over‐excavated hole: Experimental study and numerical modelling

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By Liu Ka Chun, Man Zhongyi, Wei Mingyao, Wang Yonglong
| Wiley Online Library Verified
Abstract Utilising a series of mechanically over-excavated cavities along borehole is a novel technique for enhancing the permeability of soft coal seams and, consequently, gas drainage. The evolution of cracks induced by a wide range of pressure-relief around an over-excavated hole is intrinsically complex.
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