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An accurate automated technique for quasioptics measurement of the microwave diagnostics for fusion plasma
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作者 胡健强 刘阿娣 +8 位作者 周楚 张小辉 王明远 张津 冯喜 李弘 谢锦林 刘万东 俞昌旋 《Plasma Science and Technology》 SCIE EI CAS CSCD 2017年第8期30-36,共7页
A new integrated technique for fast and accurate measurement of the quasi-optics, especially for the microwave/millimeter wave diagnostic systems of fusion plasma, has been developed. Using the LabVIEW-based comprehen... A new integrated technique for fast and accurate measurement of the quasi-optics, especially for the microwave/millimeter wave diagnostic systems of fusion plasma, has been developed. Using the LabVIEW-based comprehensive scanning system, we can realize not only automatic but also fast and accurate measurement, which will help to eliminate the effects of temperature drift and standing wave/multi-reflection. With the Matlab-based asymmetric two-dimensional Gaussian fitting method, all the desired parameters of the microwave beam can be obtained. This technique can be used in the design and testing of microwave diagnostic systems such as reflectometers and the electron cyclotron emission imaging diagnostic systems of the Experimental Advanced Superconducting Tokamak. 展开更多
关键词 diagnostics microwave drift millimeter optics desired eliminate automated fitting asymmetric
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Emerging use of artificial intelligence in inflammatory bowel disease 被引量:4
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作者 Arushi Kohli Erik A Holzwanger Alexander N Levy 《World Journal of Gastroenterology》 SCIE CAS 2020年第44期6923-6928,共6页
Inflammatory bowel disease(IBD)is a complex,immune-mediated gastrointestinal disorder with ill-defined etiology,multifaceted diagnostic criteria,and unpredictable treatment response.Innovations in IBD diagnostics,incl... Inflammatory bowel disease(IBD)is a complex,immune-mediated gastrointestinal disorder with ill-defined etiology,multifaceted diagnostic criteria,and unpredictable treatment response.Innovations in IBD diagnostics,including developments in genomic sequencing and molecular analytics,have generated tremendous interest in leveraging these large data platforms into clinically meaningful tools.Artificial intelligence,through machine learning facilitates the interpretation of large arrays of data,and may provide insight to improving IBD outcomes.While potential applications of machine learning models are vast,further research is needed to generate standardized models that can be adapted to target IBD populations. 展开更多
关键词 Artificial intelligence Machine learning automated diagnostics Colorectal neoplasia screening Multiomic data Predictive models
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