Convolutional neural network for quality of transmission prediction of unestablished lightpaths-Reference-Cited by-同舟云学术

Convolutional neural network for quality of transmission prediction of unestablished lightpaths

Author:

Usmani Fehmida¹²^ORCID,Khan Ihtesham³^ORCID,Masood Muhammad Umar³^ORCID,Ahmad Arsalan¹,Shahzad Muhammad¹,Curri Vittorio³

Affiliation:

1. School of Electrical Engineering & Computer Science National University of Sciences & Technology Islamabad Pakistan

2. Department of Information Technology Khwaja Fareed University of Engineering & Information Technology Rahim Yar Khan Pakistan

3. Department of Electronics & Telecommunications Politecnico di Torino Torino Italy

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

Reference34 articles.

1. Cisco.Cisco Visual Networking Index: Forecast and Trends 2017–2022. Tech. Rep Cisco;2017.

4. Design strategies and merit of system parameters for uniform uncompensated links supporting Nyquist‐WDM transmission;Curri V;JLT,2015

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