Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning-Reference-Cited by-同舟云学术

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Joint Learning and Channel Coding for Error-Tolerant IoT Systems Based on Machine Learning

Published:2024-01 Issue:1 Volume:5 Page:217-228
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Tang Xiaochen¹^ORCID,Reviriego Pedro²^ORCID,Tang Wei¹^ORCID,Mitchell David G. M.¹^ORCID,Lombardi Fabrizio³^ORCID,Liu Shanshan¹^ORCID

Affiliation:

1. Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM, USA

2. Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, Madrid, Spain

3. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA

Funder

U.S. Department of Defense

National Science Foundation

Spanish Agencia Estatal de Investigación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

https://ieeexplore.ieee.org/ielam/9078688/10384607/10013769-aam.pdf

Reference29 articles.

1. A Review of the Machine Learning Algorithms for Covid-19 Case Analysis

2. Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

3. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

4. Driverless vehicle security: Challenges and future research opportunities

5. The Role of Machine Learning Techniques in Internet of Things-Based Cloud Applications

Cited by 2 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. Impact of Block Coding on Age of Information in Centralized IoT: Insights From BEC and BSC;IEEE Communications Letters;2024-07

2. Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview;IEEE Access;2023

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