Deep Learning Approach to Determine the Optical Characteristics of Photonic Crystal Fiber for Orbital Angular Momentum Transmission-Reference-Cited by-同舟云学术

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Deep Learning Approach to Determine the Optical Characteristics of Photonic Crystal Fiber for Orbital Angular Momentum Transmission

Published:2023-02-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)
language:
Short-container-title:

Author:

Upal Md. Iftekher Hossain¹,Dutta Dipta¹,Rafi Rakayet¹,Karim Mohammad Rezaul²,Alam Mohammad Rafiqul³,Ghosh Sampad³

Affiliation:

1. Chittagong University of Engineering and Technology (CUET),Department of Electrical and Electronic Engineering,Chattogram,Bangladesh

2. School of Science & Engineering, Chittagong Independent University,Chattogram,Bangladesh

3. Chittagong University of Engineering and Technology (CUET),Department of Electrical and Electronic Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101485/10100742/10101646.pdf?arnumber=10101646

Reference21 articles.

1. Deep Learning Reconstruction of Ultrashort Pulses

2. Inverse molecular design using machine learning: Generative models for matter engineering

3. Deep learning for image-based classification of OAM modes in laser beams propagating through convective turbulence

4. A Silicon Photonics Computational Lensless Active-Flat-Optics Imaging System

5. A photonic crystal fiber for supporting 30 orbital angular momentum modes with low dispersion

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1. Unified predictive modeling of supercontinuum spectra: Using multi-material data with Closed-Form Continuous Time Neural Networks;Optics Communications;2024-08

2. Artificial Neural Network Model to Investigate Supercontinuum Generation in Chalcogenide Planar Waveguide;2023 IEEE International Conference on Telecommunications and Photonics (ICTP);2023-12-21

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