Atmospheric Gravity Wave Detection Using Transfer Learning Techniques-Reference-Cited by-同舟云学术

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Atmospheric Gravity Wave Detection Using Transfer Learning Techniques

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
language:
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Author:

González Jorge López¹,Chapman Theodore²,Chen Kathryn³,Nguyen Hannah⁴,Chambers Logan⁵,Mostafa Seraj A.M.⁴,Wang Jianwu⁴,Purushotham Sanjay⁴,Wang Chenxi⁴,Yue Jia⁶

Affiliation:

1. University of Puerto Rico, Río Piedras,San Juan,USA

2. University of Rochester,Rochester,NY,USA

3. University of California, Santa Barbara,Santa Barbara,CA,USA

4. University of Maryland, Baltimore County,Baltimore,MD,USA

5. Albany State University,Albany,GA,USA

6. NASA Goddard Space Flight Center,Greenbelt,MD,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10061849/10061864/10062031.pdf?arnumber=10062031

Reference26 articles.

1. Domain adaptation for large-scale sentiment classification: A deep learning approach;glorot;ICML,2011

2. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification;blitzer;ACL,2007

3. The hierarchical data format version 5 (hdf5),0

4. VNP02DNB Data Product: VIIRS/NPP Day/Night Band 6-Min L1B Swath 750m,0

5. A comprehensive survey on transfer learning;zhuang;CoRR,2019

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