A deep analysis of object capabilities for intelligence considering wireless IoT devices with the DNN approach-Reference-Cited by-同舟云学术

A deep analysis of object capabilities for intelligence considering wireless IoT devices with the DNN approach

Published:2021-09-09 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Kumaran S. Senthil^ORCID,Balakannan S. P.^ORCID,Li Jun^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-021-04064-0.pdf

Reference30 articles.

1. Abeshu A, Chilamkurti N (2018) Deep learning: the frontier for distributed attack detection in fog-to-things computing. IEEE Commun Mag 56(2):169–75

2. Wang X, Wang X, Mao S (2018) RF sensing in the internet of things: a general deep learning framework. IEEE Commun Mag 56(9):62–67

3. KonečnỳJ et al. (2016) Federated learning: strategies for improving communication efficiency. https://arxiv.org/abs/1610.05492. Accessed Dec. 1, 2019

4. Hu Y et al. (2019) FDML: a collaborative machine learning framework for distributed features. In: Proc. ACM SIGKDD, pp. 2232–40

5. TeerapittayanonS, McDanel B, Kung HT (2017) Distributed deep neural networks over the cloud, the edge and end devices. In: Proc. IEEE ICDCS, pp. 328–39

Cited by 4 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. Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment;Knowledge and Information Systems;2024-06-10

2. A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems;Electronics;2023-07-30

3. Artificial Intelligence driven Intrusion Detection Framework for the Internet of Medical Things;2023-03-14

4. IoT Capabilities Analysis by Using Optimized Machine Learning with Uncertain Traffic Modeling;Journal of Uncertain Systems;2023-02-16