Real-Time Streaming Image Based PP2LFA-CRNN Model for Facial Sentiment Analysis-Reference-Cited by-同舟云学术

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Real-Time Streaming Image Based PP2LFA-CRNN Model for Facial Sentiment Analysis

Published:2020 Issue: Volume:8 Page:199586-199602
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Chang-Min^ORCID,Kim Ki-Hwan^ORCID,Lee Young Sil^ORCID,Chung Kyungyong^ORCID,Park Roy C.^ORCID

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09241784.pdf?arnumber=9241784

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A multi-modal wildfire prediction and early-warning system based on a novel machine learning framework;Journal of Environmental Management;2023-09

3. MLTPDFS: Design of Machine Learning Model for Temporal Analysis of Progressive Diseases via Facial Scans;Key Digital Trends Shaping the Future of Information and Management Science;2023

4. A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education;Electronics;2022-09-19

5. Real‐time sentiment analysis of students based on mini‐Xception architecture for wisdom classroom;Concurrency and Computation: Practice and Experience;2022-05-16

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