[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

[HTML][HTML] Calibration of fringe projection profilometry: A comparative review

S Feng, C Zuo, L Zhang, T Tao, Y Hu, W Yin… - Optics and lasers in …, 2021 - Elsevier
Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …

The colony predation algorithm

J Tu, H Chen, M Wang, AH Gandomi - Journal of Bionic Engineering, 2021 - Springer
This paper proposes a new stochastic optimizer called the Colony Predation Algorithm
(CPA) based on the corporate predation of animals in nature. CPA utilizes a mathematical …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

Development of BIM, IoT and AR/VR technologies for fire safety and upskilling

H Chen, L Hou, GK Zhang, S Moon - Automation in Construction, 2021 - Elsevier
High-rise building fires can pose a significant threat to occupants and firefighters. The state-
of-the-art technologies such as sensor-based Internet of Things (IoT), Building Information …

[PDF][PDF] Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement

Y Li, J Qian, S Feng, Q Chen, C Zuo - Opto-Electronic Advances, 2022 - researching.cn
Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …

[HTML][HTML] Industry 4.0 and digitalisation in healthcare

VV Popov, EV Kudryavtseva, N Kumar Katiyar… - Materials, 2022 - mdpi.com
Industry 4.0 in healthcare involves use of a wide range of modern technologies including
digitisation, artificial intelligence, user response data (ergonomics), human psychology, the …

[HTML][HTML] Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms

A Saha, SC Pal, A Arabameri, T Blaschke, S Panahi… - Water, 2021 - mdpi.com
Recurrent floods are one of the major global threats among people, particularly in
developing countries like India, as this nation has a tropical monsoon type of climate …

Decision tree based ensemble machine learning approaches for landslide susceptibility mapping

A Arabameri, S Chandra Pal, F Rezaie… - Geocarto …, 2022 - Taylor & Francis
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …

Generalized framework for non-sinusoidal fringe analysis using deep learning

S Feng, C Zuo, L Zhang, W Yin, Q Chen - Photonics Research, 2021 - opg.optica.org
Phase retrieval from fringe images is essential to many optical metrology applications. In the
field of fringe projection profilometry, the phase is often obtained with systematic errors if the …