Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction-Reference-Cited by-同舟云学术

Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction

Published:2023 Issue: Volume:61 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Cheng¹,Zhao Guoshuai¹^ORCID,Liu Junjiao¹,Zhang Xingjun²,Qian Xueming³^ORCID

Affiliation:

1. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

2. School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China

3. Ministry of Education Key Laboratory for Intelligent Networks and Network Security and the SMILES Laboratory, School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities, China

Science and Technology Program of Xi’an, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10192448.pdf?arnumber=10192448

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