no code implementations • 16 May 2024 • Penghao Liang, Bo Song, Xiaoan Zhan, Zhou Chen, Jiaqiang Yuan
This article introduces the importance of machine learning in real-world applications and explores the rise of MLOps (Machine Learning Operations) and its importance for solving challenges such as model deployment and performance monitoring.
no code implementations • 22 Dec 2023 • Shengnan Wang, Yi Li, Zhou Chen, Yunjie Yang
Three-dimensional electrical capacitance tomography (3D-ECT) has shown promise for visualizing industrial multiphase flows.
no code implementations • 30 Mar 2023 • Zhe Liu, Zhou Chen, Qi Wang, Sheng Zhang, Yunjie Yang
The results suggest that combining the shallow image prior and the hand-crafted regularization can achieve similar performance to the Deep Image Prior (DIP) but with less architectural dependency and complexity of the neural network.
no code implementations • 30 Aug 2022 • Zhaoguang Yi, Zhou Chen, Yunjie Yang
Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem.
no code implementations • 26 May 2021 • Zhou Chen, Jinxi Xiang, Pierre Bagnaninchi, Yunjie Yang
Deep learning has been extensively applied in solving the EIT inverse problem in biomedical and industrial process imaging.