[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
[HTML][HTML] Calibration of fringe projection profilometry: A comparative review
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 …
System calibration is crucial to fringe projection systems, since it determines how the phase …
The colony predation algorithm
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 …
(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
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 …
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
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 …
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
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 …
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …
[HTML][HTML] Industry 4.0 and digitalisation in healthcare
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 …
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
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 …
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
The concept of leveraging the predictive capacity of predisposing factors for landslide
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
susceptibility (LS) modeling has been continuously improved in recent work focusing on …
Generalized framework for non-sinusoidal fringe analysis using deep learning
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 …
field of fringe projection profilometry, the phase is often obtained with systematic errors if the …