Search Results - "Xiaoming Kong"

MEASNet. I. A Model for Barium Star Identification and s-process Abundance Estimation from LAMOST DR10 Low-resolution Survey by Song, Shengjun, Kong, Xiaoming, Bu, Yude, Yi, Zhenping, Liu, Meng

“…Abstract Barium stars are peculiar stars with enhanced slow neutron capture process ( s -process) elements. Abundance analysis of them aids in better…”
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Li-rich Giants Identified from LAMOST DR8 Low-resolution Survey by Cai, Beichen, Kong, Xiaoming, Shi, Jianrong, Gao, Qi, Bu, Yude, Yi, Zhenping

“…Abstract A small fraction of giants possess photospheric lithium (Li) abundance higher than the value predicted by the standard stellar evolution models, and…”
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Directly Deriving Parameters from SDSS Photometric Images by Wu, Fan, Bu, Yude, Zhang, Mengmeng, Yi, Zhenping, Liu, Meng, Kong, Xiaoming

“…Abstract Stellar atmospheric parameters (effective temperature, surface gravity, and metallicity) are fundamental for understanding the formation and evolution…”
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Red Giants Search Method Based on Convolutional Neural Networks by Yuan, Hao, Liu, Meng, Yang, Zechao, Bu, Yude, Yi, Zhenping, Kong, Xiaoming, Wu, Tianmin, Zhang, Ran

“…Abstract Red giants play a crucial role in astronomical exploration. However, the current search for these stars heavily relies on spectrum analysis, making it…”
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Automatic Search for Low-surface-brightness Galaxies from Sloan Digital Sky Survey Images Using Deep Learning by Liang, Zengxu, Yi, Zhenping, Du, Wei, Liu, Meng, Liu, Yuan, Wang, Junjie, Kong, Xiaoming, Bu, Yude, Su, Hao, Wu, Hong

“…Abstract Low-surface-brightness (LSB) galaxies play a crucial role in our understanding of galaxy evolution and dark matter cosmology. However, efficiently…”
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Star Photometry for DECam Legacy Survey and Sloan Digital Sky Survey Images Based on Convolutional Neural Networks by Yang, Zechao, Liu, Meng, Yuan, Hao, Bu, Yude, Yi, Zhenping, Kong, Xiaoming, Wu, Tianmin, Zhang, Ran

“…Abstract Flux is one of the most fundamental parameters in astrophysics, and aperture photometry and point-spread function (PSF) photometry are commonly used…”
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Edge-on Low-surface-brightness Galaxy Candidates Detected from SDSS Images Using YOLO by Xing, Yongguang, Yi, Zhenping, Liang, Zengxu, Su, Hao, Du, Wei, He, Min, Liu, Meng, Kong, Xiaoming, Bu, Yude, Wu, Hong

“…Abstract Low-surface-brightness galaxies (LSBGs), fainter members of the galaxy population, are thought to be numerous. However, due to their low surface…”
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Searching for Barium Stars from the LAMOST Spectra Using the Machine-learning Method: I by Guo, Fengyue, Cheng, Zhongding, Kong, Xiaoming, Zhang, Yatao, Bu, Yude, Yi, Zhenping, Du, Bing, Pan, Jingchang

“…Abstract Barium stars are chemically peculiar stars that exhibit enhancement of s -process elements. Chemical abundance analysis of barium stars can provide…”
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Se-ResNet+SVM Model: An Effective Method of Searching for Hot Subdwarfs from LAMOST by Cheng, Zhongding, Kong, Xiaoming, Wu, Tianmin, Zhang, Aina, Liu, Bowen, Bu, Yude, Lei, Zhenxin, Zhang, Yatao, Yi, Zhenping, Liu, Meng

“…Abstract This paper presents a robust neural network approach for identifying hot subdwarfs. Our method leveraged the Squeeze-and-Excitation Residual Network…”
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Atmospheric parameter measurement of Low-S/N stellar spectra based on deep learning by Minglei, Wu, Jingchang, Pan, Zhenping, Yi, Xiaoming, Kong, Yude, Bu

“…Deriving accurate atmospheric parameters from stellar spectra is of fundamental importance for stellar research. At present, machine learning, such as multiple…”
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Detection of mild cognitive impairment based on attention mechanism and parallel dilated convolution by Wang, Tao, Ding, Zenghui, Yang, Xianjun, Chen, Yanyan, Liu, Yu, Kong, Xiaoming, Sun, Yining

“…Mild cognitive impairment (MCI) is a precursor to neurodegenerative diseases such as Alzheimer's disease, and an early diagnosis and intervention can delay its…”
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Spectra-GANs: A New Automated Denoising Method for Low-S/N Stellar Spectra by Wu, Minglei, Bu, Yude, Pan, Jingchang, Yi, Zhenping, Kong, Xiaoming

“…Numerous spectra can be obtained from sky surveys such as the Sloan Digital Sky Survey and the Large Sky Area Multi-Object Fibre Spectroscopic Telescope…”
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Three-loop control scheme for high tracking precision magnet power supply used in Rapid Cycling Synchrotron by Haizhong Ye, Xu Yang, Xiaoming Kong, Bo Liu

“…In Rapid Cycling Synchrotron, very high tracking precision and stability is required for the magnet power supply, while the load is high order resonant network…”
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Identifying hot subdwarf stars from photometric data using a Gaussian mixture model and graph neural network by Liu, Wei, Bu, Yude, Kong, Xiaoming, Yi, Zhenping, Liu, Meng

“…Abstract Hot subdwarf stars are very important for understanding stellar evolution, stellar astrophysics, and binary star systems. Identifying more such stars…”
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Estimation of Stellar Atmospheric Parameters with Light Gradient Boosting Machine Algorithm and Principal Component Analysis by Liang, Junchao, Bu, Yude, Tan, Kefeng, Pan, Jingchang, Yi, Zhenping, Kong, Xiaoming, Fan, Zhou

“…Abstract In this paper, we propose a new method to estimate stellar atmospheric parameters with photometric data, which is based on principal component…”
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LSBGnet: an improved detection model for low-surface brightness galaxies by Su, Hao, Yi, Zhenping, Liang, Zengxu, Du, Wei, Liu, Meng, Kong, Xiaoming, Bu, Yude, Wu, Hong

“…ABSTRACT The Chinese Space Station Telescope (CSST) is scheduled to launch soon, which is expected to provide a vast amount of image potentially containing…”
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Automatic detection of low surface brightness galaxies from Sloan Digital Sky Survey images by Yi, Zhenping, Li, Jia, Du, Wei, Liu, Meng, Liang, Zengxu, Xing, Yongguang, Pan, Jingchang, Bu, Yude, Kong, Xiaoming, Wu, Hong

“…ABSTRACT Low surface brightness (LSB) galaxies are galaxies with central surface brightness fainter than the night sky. Due to the faint nature of LSB galaxies…”
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Design and implementation of mobile health monitoring system based on MQTT protocol by Ding Yi, Fan Binwen, Kong Xiaoming, Ma Qianqian

“…Mobile and smart health care exists some questions and challenges including signs and symptoms information collection, remote real-time detection and online…”
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Automatic heartbeat classification using S-shaped reconstruction and a squeeze-and-excitation residual network by Li, Xiangyu, Zhang, Feng, Sun, Zhenjuan, Li, Dong, Kong, Xiaoming, Zhang, Yatao

“…To facilitate the identification of arrhythmia, in this study, an S-shaped reconstruction method was proposed, and a two-dimensional (2-D) 19-layer deep…”
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Comparing performance of iterative and non-iterative algorithms on various feature schemes for arrhythmia analysis by Zhang, Yatao, Ma, Zhenguo, Song, Jiarui, Kong, Xiaoming, Guo, Ziyu, Jiang, Bin

“…To evaluate the performance of the classic machine learning algorithms and the effectiveness of various features, the iterative algorithms (i.e., support…”
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