Machine tool calibration: Measurement, modeling, and compensation of machine tool errors
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 …
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
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …
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 …
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
The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …
combinatorial optimization problem, which effectively combines the memetic algorithm …
Revolutionary meta-imaging: from superlens to metalens
The refractive-lens technique has been well developed over a long period of evolution,
offering powerful imaging functionalities, such as microscopes, telescopes, and …
offering powerful imaging functionalities, such as microscopes, telescopes, and …
Metamaterials: from fundamental physics to intelligent design
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 …
intensive attention in the past few decades. People have studied the working principles …
Deep learning spatial phase unwrapping: a comparative review
Phase unwrapping is an indispensable step for many optical imaging and metrology
techniques. The rapid development of deep learning has brought ideas to phase …
techniques. The rapid development of deep learning has brought ideas to phase …
A comprehensive review on deep learning algorithms: Security and privacy issues
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 …
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
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 …
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
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 …
leading causes of mortality among adults. Brain tumor detection in a timely manner can …