Articles with "surface related" as a keyword



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Clinical Value of Trans-parenchymal Compressing Suture to Decrease the Cutting Surface Related Complications after Non-anatomical Liver Resection

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Published in 2019 at "Current Medical Science"

DOI: 10.1007/s11596-019-2030-6

Abstract: SummaryNon-anatomical liver resection with appropriate resection margin is regarded as a potential curative treatment for selected major hepatic carcinoma due to preserving maximal normal liver, especially in cirrhotic patients. But occurrence of cutting surface related… read more here.

Keywords: surface; liver; cutting surface; surface related ... See more keywords
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Surface related degradation phenomena in P-type multi-crystalline silicon at elevated temperature and illumination

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Published in 2020 at "Solar Energy"

DOI: 10.1016/j.solener.2020.04.023

Abstract: Abstract As a non-negligible part of light and elevated temperature induced degradation (LeTID), the studies of surface related degradation are rare, and the complex mechanism hinders the research in this field. In this paper, the… read more here.

Keywords: degradation; related degradation; surface; elevated temperature ... See more keywords
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Seismic Surface-Related Multiples Suppression Based on SAGAN

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3168143

Abstract: Suppressing multiples from seismic records is necessary to improve imaging quality. Deep neural networks (DNNs) can automatically mine features from data. Once a network is successfully trained, it can process data with extremely high efficiency.… read more here.

Keywords: seismic surface; network; surface; suppression based ... See more keywords
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An Unsupervised Deep Neural Network Approach Based on Ensemble Learning to Suppress Seismic Surface-Related Multiples

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3225809

Abstract: Surface-related multiples are generally removed as noise. To suppress surface-related multiples, we propose an unsupervised deep neural network approach based on ensemble learning (UDNNEL). The unsupervised deep neural network (UDNN) has excellent nonlinear mapping ability,… read more here.

Keywords: neural network; unsupervised deep; deep neural; surface ... See more keywords
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Surface-Related Factors Affecting the Photocatalytic Process of Semiconductor Oxides: Ceria and Titania

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Published in 2023 at "Journal of The Electrochemical Society"

DOI: 10.1149/1945-7111/acd1bd

Abstract: Nanoparticles of CeO2, with rod- and cubic-morphology, were synthesized by hydrothermal method and compared with commercial polyhedral ceria particles. Comparison of the synthesized CeO2 with the commercial powder revealed the influence of its defectivity with… read more here.

Keywords: photocatalytic performance; surface; related factors; ceo2 ... See more keywords
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Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data

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Published in 2021 at "Geophysics"

DOI: 10.1190/geo2020-0723.1

Abstract: Accurate removal of surface-related multiples remains a challenge in shallow-water cases. One reason is that the success of surface-related multiple estimation (SRME)-related algorithms is sensitive to the quality of the near-offset reconstruction. When it comes… read more here.

Keywords: field data; surface related; shallow water; water ... See more keywords
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Surface-Related Features Responsible for Cytotoxic Behavior of MXenes Layered Materials Predicted with Machine Learning Approach

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Published in 2020 at "Materials"

DOI: 10.3390/ma13143083

Abstract: To speed up the implementation of the two-dimensional materials in the development of potential biomedical applications, the toxicological aspects toward human health need to be addressed. Due to time-consuming and expensive analysis, only part of… read more here.

Keywords: machine; responsible cytotoxic; machine learning; cytotoxic behavior ... See more keywords