Výsledky vyhledávání - "YANG Hongjun"

Akademický článek

Calculation of the Dynamic Characteristics of Ship’s Aft Stern Tube Bearing Considering Journal Deflection

Autor: Yang Hongjun, Li Jun, Li Xiaolong

Publikováno v: Polish Maritime Research, Vol 27, Iss 1, Pp 107-115 (2020)

Dynamic properties are vital for the working reliability of aft stern tube bearings. However, the determination of such properties currently involves several simplifications and assumptions. To obtain its dynamic characteristics accurately, the aft s

Externí odkaz: https://doaj.org/article/28d47a6c59cd4ff1bc32e8d44e3cd7be

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Akademický článek

Crop yield prediction method based on an improved neural network

Autor: Liu Peng, Zheng Yong, Yang Hongjun

Publikováno v: Dianzi Jishu Yingyong, Vol 45, Iss 10, Pp 88-91 (2019)

Crop yield forecasting plays a decisive role in the development of national economy planned by the government. It is of great significance to rationally plan planting strategies and reduce the waste of water and fertilizer. There are many factors aff

Externí odkaz: https://doaj.org/article/21e88652a8754097a70056a86a7d2be6

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Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models

Autor: Xue, Siqiao, Qi, Danrui, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Yi, Hong, Liu, Shaodong, Chen, Faqiang

The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. The technologies of interacting with data particularly have an important entanglement with LLMs as efficient and intuitive data interactions

Externí odkaz: http://arxiv.org/abs/2404.10209

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DB-GPT: Empowering Database Interactions with Private Large Language Models

Autor: Xue, Siqiao, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Qi, Danrui, Yi, Hong, Liu, Shaodong, Chen, Faqiang

The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. Database technologies particularly have an important entanglement with LLMs as efficient and intuitive database interactions are paramount.

Externí odkaz: http://arxiv.org/abs/2312.17449

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