Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

The applications of modern length and angle metrology continue to pose new challenges for
manufacturers and operators of measuring equipment, starting from nano scale. One …

Nanophotonics exploits the best of photonics and nanotechnology which has transformed
optics in recent years by allowing subwavelength structures to enhance light-matter …

The Artificial Neural Network (ANN) has become an attractive approach in Machine
Learning (ML) to analyze a complex data-driven problem. Due to its time efficient findings, it …

This study describes the deployment of machine learning algorithm called generalized
linear model (GLM) to improve the temperature prediction performance in Brillouin optical …

In this research, the use of machine learning techniques to classify optical interferometric
images based on their intrinsic characteristics is proposed and demonstrated. Using …

Optimizing the placement of sensors on large structures in complex service environments is
crucial for effective structural health monitoring. To address this challenge, we propose a …

Plane wave expansion method is extensively implemented in the literature [1–5] to design
monochromatic photonic filters based on silicon grating structure like Silicon (Si) and Silicon …

Microdistance sensor, which can accurately detect the microdistance change, possesses
significant applications in the cutting‐edge technologies including biomedicine, energy …

[ES] El objetivo del presente estudio fue comparar las imágenes Landsat-8 y Sentinel-2
para calcular la extensión, distribución y grado de conservación del bofedal en la Reserva …