Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This …
In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
Digital Twin (DT) implementations can contribute to smart manufacturing by integrating the physical and the cyber space. Artificial Intelligence (AI) applications based on Machine …
J Wang, J Yan, C Li, RX Gao, R Zhao - Computers in Industry, 2019 - Elsevier
Smart manufacturing arises the growing demand for predictive analytics to forecast the deterioration and reliability of equipment. Many machine learning algorithms, especially …
Around the world, more than 250 countries are affected by the COVID-19 pandemic, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …
K Fu, J Peng, Q He, H Zhang - Multimedia Tools and Applications, 2021 - Springer
The reconstruction of 3D object from a single image is an important task in the field of computer vision. In recent years, 3D reconstruction of single image using deep learning …
T Sun, H Li, K Wu, F Chen, Z Zhu, Z Hu - Minerals, 2020 - mdpi.com
Predictive modelling of mineral prospectivity, a critical, but challenging procedure for delineation of undiscovered prospective targets in mineral exploration, has been spurred by …
B Yan, L Zhu, Y Dun - Journal of Manufacturing Systems, 2021 - Elsevier
Tool wear in machining of TC4 can largely affect processing efficiency and quality, and unaware of tool condition may cause huge economic losses. This paper presents a …
Abstract Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have …