Deep transfer learning based photonics sensor for assessment of seed-quality

PS Thakur, B Tiwari, A Kumar, B Gedam… - … and Electronics in …, 2022 - Elsevier
Seed-quality is one of the most important factors for achieving the objectives of uniform
seedling establishment and high crop yield. In this work, we propose laser backscattering …

Non-invasive estimation of the powder size distribution from a single speckle image

Q Zhang, A Pandit, Z Liu, Z Guo, S Muddu… - Light: Science & …, 2024 - nature.com
Non-invasive characterization of powders may take one of two approaches: imaging and
counting individual particles; or relying on scattered light to estimate the particle size …

Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)

Q Zhang, JC Gamekkanda, A Pandit, W Tang… - Nature …, 2023 - nature.com
Extracting quantitative information about highly scattering surfaces from an imaging system
is challenging because the phase of the scattered light undergoes multiple folds upon …

[Retracted] Research on Market Stock Index Prediction Based on Network Security and Deep Learning

J Li - Security and Communication Networks, 2021 - Wiley Online Library
As one of the most popular financial management methods, stocks have attracted more and
more investors to participate. The risks of stock investment are relatively high. How to reduce …

Remote photonic sensing of blood oxygen saturation via tracking of anomalies in micro-saccades patterns

Z Kalyuzhner, S Agdarov, A Bennett, Y Beiderman… - Optics express, 2021 - opg.optica.org
Speckle pattern analysis has been found by many researchers to be applicable to remote
sensing of various biomedical parameters. This paper shows how analysis of dynamic …

[HTML][HTML] Machine learning classification of speckle patterns for roughness measurements

VM Castilho, WF Balthazar, L da Silva, TJP Penna… - Physics Letters A, 2023 - Elsevier
Abstract Classification based on Machine Learning (ML) algorithms has received particular
attention in many fields. By associating speckle patterns of depolarized light produced by …

Remote photonic detection of human senses using secondary speckle patterns

Z Kalyuzhner, S Agdarov, I Orr, Y Beiderman… - Scientific Reports, 2022 - nature.com
Neural activity research has recently gained significant attention due to its association with
sensory information and behavior control. However, the current methods of brain activity …

Neural-network-assisted in situ processing monitoring by speckle pattern observation

S Tani, Y Aoyagi, Y Kobayashi - Optics Express, 2020 - opg.optica.org
We propose a method to monitor the progress of laser processing using laser speckle
patterns. Laser grooving and percussion drilling were performed using femtosecond laser …

An oblique-incidence statistical model for laser speckle

H Cui, X Li, R Cong, J Du, J Liu - Optics Communications, 2024 - Elsevier
The evaluation of laser speckle statistics at different illumination angles is highly significant
in industry, eg, non-destructive surface inspection or motion analysis and measurement …

A target detection algorithm for remote sensing images based on deep learning

Y Lv, Z Yin, Z Yu - Contrast Media & Molecular Imaging, 2021 - Wiley Online Library
In order to improve the accuracy of remote sensing image target detection, this paper
proposes a remote sensing image target detection algorithm DFS based on deep learning …