Pure Frequency-Domain Deep Neural Network for IoT-Enabled Smart Cameras-Reference-Cited by-同舟云学术

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Pure Frequency-Domain Deep Neural Network for IoT-Enabled Smart Cameras

Published:2022-10-01 Issue:19 Volume:9 Page:19049-19061
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Bo-Yi¹^ORCID,Lu Ching-Hu²^ORCID

Affiliation:

1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Electrical Engineering Department, National Taiwan University of Science and Technology, Taipei, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9899827/09745148.pdf?arnumber=9745148

Reference39 articles.

1. Attention is all you need;vaswani;Advances in neural information processing systems,2017

2. Long Short-Term Memory

3. MNIST-C: A robustness benchmark for computer vision;mu;arXiv 1906 02337,2019

4. The MNIST Database of Handwritten Digits;lecun,0

5. Resnet in resnet: Generalizing residual architectures;targ;arXiv 1603 08029,2016

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1. A Review on Congestion Mitigation Techniques in Ultra-Dense Wireless Sensor Networks: State-of-the-Art Future Emerging Artificial Intelligence-Based Solutions;Applied Sciences;2023-11-16

2. Temporal Transformer Networks With Self-Supervision for Action Recognition;IEEE Internet of Things Journal;2023-07-15

3. Multi-camera Collaboration for 3D Visualization via Correlated Information Maximization;IEEE Internet of Things Journal;2023

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