Výsledky vyhledávání - "Chunlei Shen"

Akademický článek

Evaluation and Temporal-Spatial Deconstruction for High-Quality Development of Regional Marine Economy: A Case Study of China

Autor: Dong An, Chunlei Shen, Lin Yang

Publikováno v: Frontiers in Marine Science, Vol 9 (2022)

The high-quality development of the marine economy has become a realistic choice to stimulate the vitality of regional economic growth and achieve the goal of building a powerful nation in the marine economy. This study constructs an evaluation index

Externí odkaz: https://doaj.org/article/cf7dde756275403da659e3fb613812db

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Akademický článek

A Versatile Multiple-Pass Raman System for Industrial Trace Gas Detection

Autor: Chunlei Shen, Chengwei Wen, Xin Huang, Xinggui Long

Publikováno v: Sensors, Vol 21, Iss 21, p 7173 (2021)

The fast and in-line multigas detection is critical for a variety of industrial applications. In the present work, we demonstrate the utility of multiple-pass-enhanced Raman spectroscopy as a unique tool for sensitive industrial multigas detection. I

Externí odkaz: https://doaj.org/article/881e201e16614fb3a6de3a2c6aa2437e

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Akademický článek

B4C-Al Composites Fabricated by the Powder Metallurgy Process

Autor: Ling Zhang, Jianmin Shi, Chunlei Shen, Xiaosong Zhou, Shuming Peng, Xinggui Long

Publikováno v: Applied Sciences, Vol 7, Iss 10, p 1009 (2017)

Due to the large thermal neutron absorption cross section of 10B, B4C-Al composites have been used as neutron absorbing materials in nuclear industries, which can offer not only good neutron shielding performance but also excellent mechanical propert

Externí odkaz: https://doaj.org/article/f53a30094d324f55b9a1a5085f542785

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BRFP: An Efficient and Universal Sentence Embedding Learning Model Method Supporting Fused Syntax Combined with Graph Embedding Representation Algorithm

Autor: Zhifeng Li, Wenwei Wu, Chunlei Shen

Publikováno v: Journal of Sensors. 2022:1-14

Due to the rapidly growing volume of data on the Internet, the methods of efficiently and accurately processing massive text information have been the focus of research. In natural language processing theory, sentence embedding representation is an i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::891f651f6afeaa8cc3f13b009cea1f10
https://doi.org/10.1155/2022/7471408

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