Machine tool calibration: Measurement, modeling, and compensation of machine tool errors

W Gao, S Ibaraki, MA Donmez, D Kono… - International Journal of …, 2023 - Elsevier
Advanced technologies for the calibration of machine tools are presented. Kinematic errors
independently of their causes are classified into errors within one-axis as intra-axis errors …

Recent advances and applications of machine learning in experimental solid mechanics: A review

H Jin, E Zhang, HD Espinosa - Applied …, 2023 - asmedigitalcollection.asme.org
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

Y Liu, AA Heidari, Z Cai, G Liang, H Chen, Z Pan… - Neurocomputing, 2022 - Elsevier
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

Revolutionary meta-imaging: from superlens to metalens

T Li, C Chen, X Xiao, J Chen, S Hu, S Zhu - Photonics Insights, 2023 - spiedigitallibrary.org
The refractive-lens technique has been well developed over a long period of evolution,
offering powerful imaging functionalities, such as microscopes, telescopes, and …

Metamaterials: from fundamental physics to intelligent design

J Chen, S Hu, S Zhu, T Li - Interdisciplinary Materials, 2023 - Wiley Online Library
Metamaterials are artificial structures with the ability to efficiently control light‐field, attracting
intensive attention in the past few decades. People have studied the working principles …

Deep learning spatial phase unwrapping: a comparative review

K Wang, Q Kemao, J Di, J Zhao - Advanced Photonics Nexus, 2022 - spiedigitallibrary.org
Phase unwrapping is an indispensable step for many optical imaging and metrology
techniques. The rapid development of deep learning has brought ideas to phase …

A comprehensive review on deep learning algorithms: Security and privacy issues

M Tayyab, M Marjani, NZ Jhanjhi, IAT Hashem… - Computers & …, 2023 - Elsevier
Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success

DSS Wuisan, RA Sunardjo, Q Aini, NA Yusuf… - Aptisi Transactions on …, 2023 - att.aptisi.or.id
The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI)
in driving business transformation, with a specific emphasis on its impact within the realm of …

Identification and prediction of brain tumor using VGG-16 empowered with explainable artificial intelligence

F Ahmed, M Asif, M Saleem, UF Mushtaq… - International Journal of …, 2023 - ijcis.com
The abnormal development of cells is what causes brain tumors. It is one of the world's
leading causes of mortality among adults. Brain tumor detection in a timely manner can …