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- research-articleJune 2024
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
CHIWORK '24: Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for WorkJune 2024, Article No.: 16, Pages 1–21https://doi.org/10.1145/3663384.3663389Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources, ...
- research-articleJune 2024
MVCT image enhancement using reference-based encoder–decoder convolutional neural network
Expert Systems with Applications: An International Journal (EXWA), Volume 241, Issue CMay 2024https://doi.org/10.1016/j.eswa.2023.122576AbstractDaily MVCT (Megavoltage Computed Tomography) in TomoTherapy plays a crucial role in patients’ setup and dose reconstruction. However, MVCT images suffer from high noise and low tissue contrast due to the limited number of X-ray photons and low ...
Highlights- Propose a novel MVCT image enhancement method based on a reference image-guided CNN.
- Introduce KVCT as reference images into MVCT denoising process at the feature level.
- Propose an FEA module to transfer similar textures from KVCT ...
- research-articleMarch 2023
A novel computational fluid dynamic method and validation for assessing distal cerebrovascular microcirculatory resistance
Computer Methods and Programs in Biomedicine (CBIO), Volume 230, Issue CMar 2023https://doi.org/10.1016/j.cmpb.2023.107338Highlights- This study developed novel computational strategies that allowed us to estimate the blood flow and resistance distal to the stenosis by using CFD simulation.
- Our computational strategy may serve as an effective approach to evaluate the ...
The non-invasive assessment of microcirculatory resistance could improve the treatment of cerebrovascular stenosis. This study aimed to validate a novel computational strategy for determining the reference value of ...
- ArticleNovember 2022
Acceptance-Aware Multi-platform Cooperative Matching in Spatial Crowdsourcing
AbstractWith the development of sharing economy, multi-platform cooperative matching (MPCM) is becoming popular as it provides an effective way to cope with the supply-demand imbalance in spatial crowdsourcing (SC). While cooperation between two SC ...
- research-articleJune 2021
A cross-layer fault propagation analysis method for edge intelligence systems deployed with DNNs
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 116, Issue CJun 2021https://doi.org/10.1016/j.sysarc.2021.102057AbstractTo evaluate the impact of soft errors on convolutional neural networks (CNNs) deployed in edged computation systems, we propose a data-driven assessment strategy to characterize the propagation flow across hardware and software ...
- research-articleJanuary 2020
Study on Stochastic Differential Game Model in Network Attack and Defense
In recent years, evolutionary game theory has been gradually applied to analyze and predict network attack and defense for maintaining cybersecurity. The traditional deterministic game model cannot accurately describe the process of actual network attack ...
- research-articleFebruary 2017
When Subjects Interpret the Data: Social Media Non-use as a Case for Adapting the Delphi Method to CSCW
CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social ComputingFebruary 2017, Pages 1527–1543https://doi.org/10.1145/2998181.2998182This paper describes the use of the Delphi method as a means of incorporating study participants into the processes of data analysis and interpretation. As a case study, it focuses on perceptions about use and non-use of the social media site Facebook. ...
- ArticleOctober 2008
The Group Search Optimizer and its Application on Truss Structure Design
ICNC '08: Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07October 2008, Pages 688–692https://doi.org/10.1109/ICNC.2008.261This paper introduces a novel optimization algorithm, group search optimization (GSO) algorithm and its implementation method is presented in detail. The GSO is used to investigate the planar and space truss structures with continuous variables and is ...