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Jian Li

Southeast University

Banani, Dhaka, Bangladesh

Dhaka

Bangladesh

SCHOLARLY PAPERS

5

DOWNLOADS

151

TOTAL CITATIONS

1

Scholarly Papers (5)

1.

Quantitative Evaluation of Substation Battery Abnormal State Through an Adversarial Convolutional Autoencoder

Number of pages: 17 Posted: 12 Jan 2025
Nanjing Institute of Technology, Nanjing Institute of Technology, Nanjing Institute of Technology, Nanjing Institute of Technology, affiliation not provided to SSRN and Southeast University
Downloads 55 (1,010,164)
Citation 1

Abstract:

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Substation battery, Abnormal diagnosis, Adversarial convolutional autoencoder, Feature extraction, Quantitative evaluation.

2.

Rapid Prediction Model of Equivalent Thermal Conductivity of Plain Weave Fabric in Space Environment

Number of pages: 20 Posted: 29 Aug 2023
Southeast University, Southeast University, affiliation not provided to SSRN, Southeast University, Southeast University and Southeast University
Downloads 36 (1,236,159)

Abstract:

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Plain weave fabric, Conduction-radiation coupled heat transfer, Effective thermal conductivity, finite element method

3.

Three- Dimensional Temperature Field Tomographic Reconstruction of Diffusion Flame Based on Information Termination Entropy  Criterion

Number of pages: 22 Posted: 29 Apr 2025
Southeast University, affiliation not provided to SSRN, affiliation not provided to SSRN, Southeast University and Southeast University
Downloads 24 (1,399,036)

Abstract:

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Information entropy, SART algorithm, Semi-convergence behavior, Flame temperature measurement, 3D reconstruction

4.

Quantitative Evaluation of Combustion Stability in Heavy Oil Boilers using Flame Imaging and Stacked Denoising Autoencoder

Number of pages: 22 Posted: 11 Sep 2025
Nanjing Institute of Technology, Nanjing Institute of Technology, University of Kent and Southeast University
Downloads 22 (1,424,331)

Abstract:

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Flame imaging, Combustion stability, Stability evaluation index, Feature analysis, Stacked denoising autoencoder.

5.

CFD Integrated Optimization of Slot-Hole Film Cooling on Turbine Vanes using Machine Learning

Number of pages: 26 Posted: 10 Feb 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Southeast University, Southeast University, Southeast University, Southeast University, affiliation not provided to SSRN, University of Science and Technology Beijing and affiliation not provided to SSRN
Downloads 14 (1,518,554)

Abstract:

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CFD, Machine Learning driven surrogate model, Turbine Vane, Film Cooling