FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT-Reference-Cited by-同舟云学术

FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT

Published:2022-11 Issue:11 Volume:30 Page:4578-4592
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Dharejo Fayaz Ali¹^ORCID,Zawish Muhammad²^ORCID,Zhou Yuanchun¹^ORCID,Davy Steven²,Dev Kapal³^ORCID,Khowaja Sunder Ali⁴^ORCID,Fu Yanjie⁵^ORCID,Qureshi Nawab Muhammad Faseeh⁶^ORCID

Affiliation:

1. Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China

2. Walton Institute for Information and Communication Systems Science, Waterford Institute of Technology, Waterford, Ireland

3. Department of Institute of Intelligent Systems, University of Johannesburg, Gauteng, South Africa

4. Department of Mechatronics Engineering, Korea Polytechnic University, Republic of Korea

5. Department of Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL, USA

6. Department of Computer Education, Sungkyunkwan University, Seoul, South Korea

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Nova Program of Science and Technology

Key Research Program of Frontier Sciences, CAS

Science Foundation Ireland

Department of Agriculture, Food and the Marine

VistaMilk Research Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/9933711/09714825.pdf?arnumber=9714825

Reference64 articles.

1. Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication

2. A Novel Motion Detection Method Using 3D Discrete Wavelet Transform

3. Spatiotemporal attention enhanced features fusion network for action recognition

4. Action recognition using three dimension convolution and long short term memory

5. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard,2017

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