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Computational methods 1

Danjiangkou 1

Deconvolution 1

South to North Water Transfer Project 1

Super-resolution microscopy 1

dam-reservoir-foundation interaction 1

deconvolution 1

earthquake deconvolution 1

gravity dams 1

identification and ranking 1

inhomogeneous foundation 1

risk assessment 1

seismic reliability 1

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Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1, Pages 42-53 doi: 10.1007/s11783-013-0499-y

Abstract: Chemical Hazard Evaluation and Management Strategies (CHEMS-1) approach was adapted to integrate the deconvolutionThe samples were screened for the presence of 1093 contaminants using deconvolution technologies and

Keywords： identification and ranking source water deconvolution risk assessment Danjiangkou South to North Water

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Evaluation of seismic reliability of gravity dam-reservoir-inhomogeneous foundation coupled system

Hamid Taghavi GANJI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3, Pages 701-715 doi: 10.1007/s11709-018-0507-1

Abstract: The effects of the deconvolution process, number of samples, and foundation inhomogeneity are investigated

Keywords： gravity dams dam-reservoir-foundation interaction seismic reliability inhomogeneous foundation earthquake deconvolution

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Computational methods in super-resolution microscopy Review

Zhi-ping ZENG, Hao XIE, Long CHEN, Karl ZHANGHAO, Kun ZHAO, Xu-san YANG, Peng XI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1222-1235 doi: 10.1631/FITEE.1601628

Abstract: The broad applicability of super-resolution microscopy has beenwidely demonstrated in various areas and disciplines. The optimizationand improvement of algorithms used in super-resolution microscopyare of great importance for achieving optimal quality of super-resolutionimaging. In this review, we comprehensively discuss the computationalmethods in different types of super-resolution microscopy, includingdeconvolution microscopy, polarization-based super-resolution microscopy,structured illumination microscopy, image scanning microscopy, super-resolutionoptical fluctuation imaging microscopy, single-molecule localizationmicroscopy, Bayesian super-resolution microscopy, stimulated emissiondepletion microscopy, and translation microscopy. The developmentof novel computational methods would greatly benefit super-resolutionmicroscopy and lead to better resolution, improved accuracy, and fasterimage processing.

Keywords： Super-resolution microscopy Deconvolution Computational methods