[HTML][HTML] 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 …

Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
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 …

M Rahimzadeh, A Attar - Informatics in medicine unlocked, 2020 - Elsevier
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-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

K Alexopoulos, N Nikolakis… - International Journal of …, 2020 - Taylor & Francis
Digital Twin (DT) implementations can contribute to smart manufacturing by integrating the
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

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 …

[HTML][HTML] Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images

N Kumar, M Gupta, D Gupta, S Tiwari - Journal of ambient intelligence and …, 2023 - Springer
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 …

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 …

[HTML][HTML] Data-driven predictive modelling of mineral prospectivity using machine learning and deep learning methods: A case study from southern Jiangxi Province …

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 …

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 …

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

KU Ahamed, M Islam, A Uddin, A Akhter… - Computers in biology …, 2021 - Elsevier
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 …