Thermal field reconstruction based on weighted dictionary learning-Reference-Cited by-同舟云学术

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Thermal field reconstruction based on weighted dictionary learning

Published:2021-09-16 Issue: Volume: Page:
ISSN:1751-858X
Container-title:IET Circuits, Devices & Systems
language:en
Short-container-title:IET Circuits, Devices & Systems

Author:

Zhang Tianyi¹²^ORCID,Li Wenchang¹²,Xiao Jinyu³,Liu Jian²⁴

Affiliation:

1. Key Laboratory of Solid‐State Optoelectronics Information Technology Institute of Semiconductors Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

3. CSMC Technologies Corporation Wuxi China

4. State Key Laboratory of Superlattices and Microstructures Institute of Semiconductors Chinese Academy of Sciences Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cds2.12098

Reference27 articles.

1. Thermal modeling, analysis, and management in VLSI circuits: principles and methods;Pedram M.;Proc. IEEE,2006

2. System‐level dynamic thermal management for high‐performance microprocessors;Kumar A.;IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.,2008

3. Energy‐optimal dynamic thermal management: computation and cooling power co‐optimization;Donghwa S.;IEEE Trans. Ind. Inf.,2010

4. An adaptive thermal management framework for heterogeneous multi‐core processors;Kim Y.G.;IEEE Trans. Comput.,2020

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1. A Rapid Reconstruction Strategy of Full-Domain Temperature Field Based on Discrete Measurement Points for Electronics Thermal Management;2024

2. A Rapid Reconstruction Strategy of Full-Domain Temperature Field Based on Discrete Measurement Points for Electronics Thermal Management;2023

3. A Strategy for Efficient Full-Domain Thermal Field Reconstruction and Sparse Sensor Placement;2023

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