The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …

In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …

This paper presents the development of an approach for automatic estimation of the
regression coefficients as a function of the refractive index (RI) in Tilted Fiber Bragg Gratings …

Machine learning (ML) has emerged as a pivotal force in enhancing the capabilities of
sensing technologies across a broad spectrum of applications, from environmental …

In recent years, there has been a significant surge in interest surrounding the utilization of
machine learning techniques to optimize the performance of fiber optic sensors. This paper …

Integrated silicon photonics (SiPh) gratings have been widely studied for the optical
addressing of trapped ions. As the form factor of ion traps reduces, the ion-trap** height …

A vision transformer (ViT) is developed to perform beam profile classification on beam
profiles coupled out from silicon photonics (SiPh) gratings. The classification task is aimed to …

An approach to measuring chemical concentrations using a slotted micro-ring resonator
(sMRR) is proposed which is robust to spectral shifts caused by temperature variations. Two …

This paper outlines the successful utilization of deep learning (DL) techniques to elevate
data quality for assessing Au-TFBG (tilted fiber Bragg grating) sensor performance. Our …

This letter illustrates the successful application of machine learning (ML) models with
explainable artificial intelligence (XAI) to enhance the efficacy of a surface plasmon …