Recursive Neural Network Based Degradation Trend Estimation for Efficient Maintenance of Aerial Bundled Cables-Reference-Cited by-同舟云学术

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Recursive Neural Network Based Degradation Trend Estimation for Efficient Maintenance of Aerial Bundled Cables

Published:2023-01-24 Issue: Volume: Page:
ISSN:
Container-title:2023 Global Conference on Wireless and Optical Technologies (GCWOT)
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Author:

Talha Syed Muhammad Umar¹,Ali Syed Muhammad¹,Ahmed Syed Sheraz¹,Ali Asif¹,Mairaj Tariq²

Affiliation:

1. Sir Syed University of Engineering & Technology,Department of Telecommunication Engineering,Karachi,Pakistan

2. National University of Sciences and Technology,Pakistan Navy Engineering College,Department of Electrical Engineering,Islamabad,Pakistan,H-12

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10064635/10064647/10064677.pdf?arnumber=10064677

Reference20 articles.

1. An introduction to genetic algorithms for electromagnetics

2. Prognosis study of live aerial bundled cables in coastal areas using historical super-heterodyne ultrasonic listening data

3. Prognostic Algorithm for Degradation Prediction of Aerial Bundled Cables in Coastal Areas;bin yousuf,0

4. Learning longer memory in recurrent neural networks;mikolov,2014

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