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Shi-Min Cai

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

199

TOTAL CITATIONS

0

Scholarly Papers (3)

Efficient Unified Information Extraction Model Based on Large Language Models

Number of pages: 26 Posted: 14 Dec 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Electronic Science and Technology of China (UESTC) - School of Mechanical and Electrical Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 95 (721,228)

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Large Language Model, Unified information extraction, Parameter efficient fine-tuning

Efficient Unified Information Extraction Model Based on Large Language Models

Number of pages: 26 Posted: 12 Dec 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Electronic Science and Technology of China (UESTC) - School of Mechanical and Electrical Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 51 (1,072,374)

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Large Language Model, Unified information extraction, Parameter efficient fine-tuning

2.

Detection of Surface Water Pollution with Full Absorption Spectroscopy: Integrating 2d Image Conversion and Resnet for Classification

Number of pages: 11 Posted: 19 Dec 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 35 (1,263,436)

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Surface water classification, Full absorption spectroscopy, Data dimensionality enhancement, Deep learning

3.

Advanced Deep Learning-Based Methodology for Multi-Class Diagnosis of Wind Turbine Blade Faults at the Wind Farm Level

Number of pages: 14 Posted: 31 Jan 2025
Han Yang, Chunchen Wei, Shi-Min Cai and Yan-Ru Zhang
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 18 (1,470,786)

Abstract:

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Wind turbine bladeMulti-class fault diagnosisWind farm-levelDeep learning