This advancement in deep learning has also inspired researchers to apply these techniques for image denoising, including noise reduction and artifact suppression in LDCT. Convolutional neural networks ...

Deep learning-powered denoising technique for high-speed dynamic fluorescence imaging. Chinese Society for Optical Engineering. Journal PhotoniX DOI 10.1186/s43074-025-00173-8. Keywords ...

Industrial process data are usually affected by random and gross errors leading to deviation from the true value and violation of process constraints. Traditional data reconciliation methods rely on ...

Integrating multi-source monitoring data and deep convolutional autoencoder technology for ... Z., Li, H., and Zhang, Y. (2019). Computer vision and deep learning–based data anomaly detection method .

This paper proposes a radio map reconstruction algorithm based on Deep Denoising Regularization (RMC-DDR) to effectively reconstruct high-precision radio maps under sparse data conditions and high ...