Over the past decade, deep learning (DL) has been applied in a large number of optical
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …

Multimode fiber (MMF) specklegram sensors have recently drawn significant attention due to
the incorporation of machine learning (ML) algorithms in detecting different sensing …

Real-time acquisition of human pulse signals in daily life is clinically important for
cardiovascular disease monitoring and diagnosis. Here, we propose a smart photonic …

Fiber specklegram sensors do not rely on complex fabrication processes and expensive
sensor interrogation schemes and provide an alternative to routinely used fiber sensing …

Tactile transducers monitor physical variables like force and texture through direct contact,
featuring indispensable in human–computer interaction and biomedical applications. This …

Whispering gallery mode (WGM) resonators provide an important platform for fine
measurement thanks to their small size, high sensitivity, and fast response time …

The research enterprise towards achieving high-performance hollow-core photonic crystal
fibers has led to impressive advancements in the latest years. Indeed, using this family of …

This research work predicts the Half Cell Potential (HCP) values of cathodically protected
concrete slabs subjected to chloride ingress using machine learning techniques. Six classes …

Random speckles are proposed to demodulate Fabry–Perot (FP) sensors in this study. A
piece of multimode fiber is used to interrogate the FP transmission spectrum, and tiny …

A method for automatic monitoring of steel rebar corrosion by integrating machine learning
(ML) with single mode-multimode-single mode (SMS) fiber optic corrosion sensors is …