...-dimensional measurement. To overcome these challenges, we developed a novel three-dimensional analysis method based on light field imaging diagnosis and deep learning algorithm. Different from traditional two-dimensional reconstruction, the bubble depth can be computed from light field images directly through...

... can greatly increase security check efficiency with good image quality. Keywords: X-ray; Digital Radiography; Deep learning; drive-through 1. INTRODUCTION With the more and more challenging international anti- terrorism situation and anti-smuggle, especially aiming at important facilities, passenger...

... detection algorithms based on deep learning. A significant obstacle to developing high performance of such algorithms is the difficulty of obtaining large labeled training datasets. X-ray image data augmentation strategies based on experimental images have been proposed by other investigators. This paper...

... time consumption, and higher probability of overfitting while training. In this study, a method of choosing thermal hydraulics parameters of a nuclear power plant is proposed, using the theory of post-hoc interpretability theory in deep learning. At the start, a novel Time-sequential Residual...

... higher accuracy in extracting bubble features under our flow conditions. two-phase flow flow regime artificial intelligence deep learning machine learning pattern recognition Proceedings of the 2021 28th International Conference on Nuclear Engineering ICONE28 August 4-6, 2021, Virtual...

...: nuclear safety; decommissioning; personal pro- ment and principle contractors, to perform the decommissioning tective equipment; deep learning; graph of Fukushima Daiichi NPS. NOMENCLATURE Decommissioning of the Fukushima Daiichi NPS is an un- NPS nuclear power station precedented undertaking...

... and outperforms BM3D algorithm in terms of both image quality improvement and the processing speed. In conclusion, the proposed method improves the image quality of vehicles’ digital radiography and it is proved better than traditional methods. digital radiography deep learning CNN image quality...

.... In response to the difficulties of on-site PPE management in decommissioning site of Fukushima Daiichi NPS, this paper proposes the combination of deep learning-based object detection and individual detection using geometry relationships analysis to automatically facilitate the safety monitoring task...