A Study of Throughput Prediction using Convolutional Neural Network over Factory Environment-Reference-Cited by-同舟云学术

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A Study of Throughput Prediction using Convolutional Neural Network over Factory Environment

Published:2022-02-13 Issue: Volume: Page:
ISSN:
Container-title:2022 24th International Conference on Advanced Communication Technology (ICACT)
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Author:

Hou Yafei¹,Yano Kazuto²,Suga Norisato³,Webber Julian⁴,Nii Eiji²,Higashimori Toshihide²,Denno Satoshi¹,Suzuki Yoshinori²

Affiliation:

1. Okayama University,Graduate School of Natural Science and Technology,Okayama City,Japan

2. Wave Engineering Laboratory, ATR International,Seika-cho,Soraku-gun, Kyoto,Japan

3. Tokyo University of Science,Faculty of Engineering,Tokyo,Japan

4. Osaka University,Graduate School of Engineering Science,Toyonaka City,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9728250/9728768/09728893.pdf?arnumber=9728893

Reference17 articles.

1. Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks

2. A ray-tracing method for modeling indoor wave propagation and penetration

3. Utility-Based Distributed Association Control Scheme with User Guidance for IEEE802.11 Wireless LANs

4. Prediction of QoS Outage Probability for Wireless Communication in Factory Environments

5. Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning

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