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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 77, 2020 - Issue 10
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Original Articles

Simultaneous identification of thermophysical properties of semitransparent media using an artificial neural network trained by a 2-D axisymmetric direct model

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Pages 890-912 | Received 11 Feb 2020, Accepted 19 Mar 2020, Published online: 06 Apr 2020

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Jia-Peng Dai, Zhan-Wei Cao, Shen Du, Dong Li & Ya-Ling He. (2023) An inverse analysis to estimate the thermal properties of nanoporous aerogel composites using the particle swarm optimized deep neural network. Numerical Heat Transfer, Part B: Fundamentals 0:0, pages 1-22.
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Haolong Chen, Kaijie Wang, Zhanli Liu & Huanlin Zhou. (2022) Surface temperature analysis and thermophysical property estimation for breast cancer by deep learning. Numerical Heat Transfer, Part A: Applications 82:8, pages 411-427.
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Articles from other publishers (5)

Hakan Ertürk, Kyle Daun, Francis H. R. França, Shima Hajimirza & John R. Howell. (2023) Inverse Methods in Thermal Radiation Analysis and Experiment. ASME Journal of Heat and Mass Transfer 145:5.
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Vijay K. Mishra, Kshitij Anand & Abhishek Bhardwaj. (2022) Clustering assisted artificial neural network for handling noisy big data: An application for estimation of parameter in combined mode conduction and radiation heat transfer. Heat Transfer 51:6, pages 5386-5416.
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Haifeng Xing, Lei Luo, Wei Du & Songtao Wang. (2022) Direct and Inverse Model for Single-Hole Film Cooling With Machine Learning. Journal of Turbomachinery 144:4.
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Hongmei Xu, Juan Liu, Kun Wang, Songtao Kong & Yong Shi. (2021) Grain Temperature-Dependent Thermal Properties Estimation Using FI-QPSO Algorithm. Journal of Heat Transfer 143:9.
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Manuel Girault, Yang Liu, Yann Billaud, Adel M Benselama, Didier Saury & Denis Lemonnier. (2021) Reduced Order Models for conduction and radiation inside semi-transparent media via the Modal Identification Method. International Journal of Heat and Mass Transfer 168, pages 120598.
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