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Akademický článek

Does Imported Product Variety Improve Enterprises’ Energy Efficiency? ——Based On The Total Factor Method

Autor: Wang Yufang, Yuan Liu

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

Based on the total factor method, this paper explores the relationship between imported product variety and enterprises’ energy efficiency by using Statistics from China. The study finds that the types of imported products considerably improve the

Externí odkaz: https://doaj.org/article/dc4e0dc7153a47bb96ea42d5f0c7dad6

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Dual-Stream Attention Network for Hyperspectral Image Unmixing

Autor: Wang, Yufang, Wu, Wenmin, Qi, Lin, Gao, Feng

Hyperspectral image (HSI) contains abundant spatial and spectral information, making it highly valuable for unmixing. In this paper, we propose a Dual-Stream Attention Network (DSANet) for HSI unmixing. The endmembers and abundance of a pixel in HSI

Externí odkaz: http://arxiv.org/abs/2406.01644

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Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs

Autor: Xiao, Changrong, Ma, Wenxing, Song, Qingping, Xu, Sean Xin, Zhang, Kunpeng, Wang, Yufang, Fu, Qi

Receiving timely and personalized feedback is essential for second-language learners, especially when human instructors are unavailable. This study explores the effectiveness of Large Language Models (LLMs), including both proprietary and open-source

Externí odkaz: http://arxiv.org/abs/2401.06431

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