An Evaluation of Autoencoder Neural Network Role in Iot Edge Computing-Reference-Cited by-同舟云学术

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An Evaluation of Autoencoder Neural Network Role in Iot Edge Computing

Published:2022-05-18 Issue: Volume: Page:
ISSN:2687-3729
Container-title:Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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Author:

TEKİN KAKIZ Aygül,TALHA KAKIZ Ar. Gör. Muhammet,COBAN Ramazan

Publisher

Osmaniye Korkut Ata Universitesi

Subject

General Agricultural and Biological Sciences

Reference24 articles.

1. AbdulsalamYa’u G., Job GK., Waziri SM., Jaafar B. SabonGari NA; Yakubu IZ, Deep learning for detecting ransomware in edge computing devices based on autoencoder classifier. 2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 13-14 December 2019, 240–243, India.

2. Akyildiz IF., Vuran MC. Wireless sensor networks. 1st ed. John Wiley & Sons; 2010.

3. Alpaydın E. Introduction to machine learning. 3rd ed. London:MIT Press; 2014.

4. Al-Fuqaha A., Guizani M; Mohammadi M., Aledhari M., Ayyash M. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials 2015; 17(4): 2347–2376.

5. Feng Y., Liu Z., Chen J., Lv H., Wang J., Yuan J. Make the rocket intelligent at iot edge: Stepwise gan for anomaly detection of lre with multi-source fusion. IEEE Internet of Things Journal 2021.

Cited by 1 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

1. Exploring the Critical Role of Edge Computing in Enhancing IoT Performance and Security;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

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