A survey on theories and applications for self-driving cars based on deep learning methods
J Ni, Y Chen, Y Chen, J Zhu, D Ali, W Cao - Applied Sciences, 2020 - mdpi.com
Self-driving cars are a hot research topic in science and technology, which has a great
influence on social and economic development. Deep learning is one of the current key …
influence on social and economic development. Deep learning is one of the current key …
Data management in industry 4.0: State of the art and open challenges
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …
manufacturing systems, expediting the generation of large volumes of industrial data. This …
[HTML][HTML] A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and …
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 …
techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID …
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
Digital Twin (DT) implementations can contribute to smart manufacturing by integrating the
physical and the cyber space. Artificial Intelligence (AI) applications based on Machine …
physical and the cyber space. Artificial Intelligence (AI) applications based on Machine …
Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction
Smart manufacturing arises the growing demand for predictive analytics to forecast the
deterioration and reliability of equipment. Many machine learning algorithms, especially …
deterioration and reliability of equipment. Many machine learning algorithms, especially …
Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images
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 …
caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This …
Single image 3D object reconstruction based on deep learning: A review
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 …
computer vision. In recent years, 3D reconstruction of single image using deep learning …
Data-driven predictive modelling of mineral prospectivity using machine learning and deep learning methods: A case study from southern Jiangxi Province, China
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 …
delineation of undiscovered prospective targets in mineral exploration, has been spurred by …
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning
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 …
unaware of tool condition may cause huge economic losses. This paper presents a …
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
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 …
reported in late 2019 that has spread worldwide. Although some wealthy countries have …