Application of machine learning for accurate detection of hemoglobin concentrations employing defected 1D photonic crystal
Realizing the significance of precise detection of hemoglobin concentrations towards early
diagnosis of several diseases, the present work addresses design and analysis of …
diagnosis of several diseases, the present work addresses design and analysis of …
Machine learning assisted inverse design of microresonators
The high demand for fabricating microresonators with desired optical properties has led to
various techniques to optimize geometries, mode structures, nonlinearities, and dispersion …
various techniques to optimize geometries, mode structures, nonlinearities, and dispersion …
Empirical mode decomposition applied to acoustic detection of a cicadid pest
UB de Souza, JPL Escola, DHB Maccagnan… - … and Electronics in …, 2022 - Elsevier
The sounds emitted by various insect species are highly specific and, thus, can be used as a
way to acoustically characterize them. Consequently, acoustic insect detection has been …
way to acoustically characterize them. Consequently, acoustic insect detection has been …
A general machine learning-based approach for inverse design of one-dimensional photonic crystals toward targeted visible light reflection spectrum
Data-driven methods have increasingly been applied to the development of optical systems
as inexpensive and effective inverse design approaches. Optical properties (eg, band-gap …
as inexpensive and effective inverse design approaches. Optical properties (eg, band-gap …
Data analysis on the three defect wavelengths of a MoS2-based defective photonic crystal using machine learning
To reduce the dimension of optoelectronic devices, recently, Molybdenum disulfide (MoS2)
monolayers with direct bandgap in the visible range are widely used in designing a variety …
monolayers with direct bandgap in the visible range are widely used in designing a variety …
An On-Demand Inverse Design Method for Nanophotonic Devices Based on Generative Model and Hybrid Optimization Algorithm
L Zhu, Y Li, Z Yang, D Zong, Y Liu - Plasmonics, 2024 - Springer
The inverse design of nanophotonic devices has been widely concerned by researchers,
and on-demand design is the difficulty of inverse design. In inverse design, researchers …
and on-demand design is the difficulty of inverse design. In inverse design, researchers …
Efficient lens design enabled by a multilayer perceptron-based machine learning scheme
Abstract Machine learning is a major branch of artificial intelligence that has been widely
implemented in optical applications. Here we establish and validate two fully connected feed …
implemented in optical applications. Here we establish and validate two fully connected feed …
A Highly Sensitive H-shaped Optical Fiber Sensor for Monitoring Blood Glucose Level
The present research addresses a new kind of H-shaped optical fiber sensor based on the
surface plasmon resonance (SPR) phenomenon for sensing blood glucose levels in diabetic …
surface plasmon resonance (SPR) phenomenon for sensing blood glucose levels in diabetic …
Inverse Design of Microresonators Using Machine Learning
The rapidly increasing number of ways to fabricate integrated microresonators have led to a
demand for optimization of such structures based on the desired optical properties …
demand for optimization of such structures based on the desired optical properties …
Design of classification-based photonic crystal sensor for chemical substance detection
EYZ Çelen, SE Karlık - Machine Learning in Photonics, 2024 - spiedigitallibrary.org
Photonic crystals are periodic structures with refractive index changes in one, two, or three
dimensions. Due to their unique design, these crystals exhibit a photonic band gap that …
dimensions. Due to their unique design, these crystals exhibit a photonic band gap that …