Convolutional neural network classification of beam profiles from silicon photonics gratings

Convolutional neural network classification of beam profiles from silicon photonics gratings

Convolutional neural network (CNN) models consist of CNN block(s) and dense neural network (DNN) block(s) are used to perform image classification on beam profiles in light beam coupled out from silicon photonics (SiPh) mixed pitch gratings. The beam profiles are first simulated and segregated into...

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Bibliographic Details
Main Authors: Lim, Yu Dian, Tan, Chuan Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Convolutional neural networks
Beam profiles
Online Access:https://hdl.handle.net/10356/179965

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