STATISTICS

作品数:859被引量:6220H指数:17
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A Machine Learning Made Catalog of FR-Ⅱ Radio Galaxies from the FIRST Survey
《Research in Astronomy and Astrophysics》2024年第3期266-282,共17页Bao-Qiang Lao Xiao-Long Yang Sumit Jaiswal Prashanth Mohan Xiao-Hui Sun Sheng-Li Qin Ru-Shuang Zhao 
supported by the National SKA Program of China(2022SKA0120101,2022SKA0130100,2022SKA 0130104);the National Natural Science Foundation of China(NSFC,grant No.12103013);the Foundation of Science and Technology of Guizhou Province(Nos.(2021)023);the Foundation of Guizhou Provincial Education Department(Nos.KY(2021)303,KY(2020)003,KY(2023)059);supported by the National Natural Science Foundation of China(NSFC,grant Nos.12103076 and 12233005);the National Key R&D Program of China(2020YFE0202100);the Shanghai Sailing Program(21YF1455300);the China Postdoctoral Science Foundation(2021M693267)。
We present an independent catalog(FRIIRGcat)of 45,241 Fanaroff–Riley TypeⅡ(FR-Ⅱ)radio galaxies compiled from the Very Large Array Faint Images of the Radio Sky at Twenty-centimeters(FIRST)survey and employed the de...
关键词:radio continuum galaxies-galaxies active-galaxies jets-galaxies STATISTICS 
Stock Market Prediction Using Generative Adversarial Networks(GANs):Hybrid Intelligent Model
《Computer Systems Science & Engineering》2023年第10期19-35,共17页Fares Abdulhafidh Dael Omer CagrıYavuz Ugur Yavuz 
The key indication of a nation’s economic development and strength is the stock market.Inflation and economic expansion affect the volatility of the stock market.Given the multitude of factors,predicting stock prices...
关键词:Stock markets STATISTICS machine learning sentiment analysis investment decisions 
Removal of Stripes in Remote Sensing Images Based on Statistics Combined with Image Enhancement被引量:1
《Journal of Geodesy and Geoinformation Science》2023年第1期76-87,共12页Xiaofei QU Weiwei ZHAO En LONG Meng SUN Guangling LAI 
A method to remove stripes from remote sensing images is proposed based on statistics and a new image enhancement method.The overall processing steps for improving the quality of remote sensing images are introduced t...
关键词:remote sensing images stripe removal STATISTICS image enhancement 
An object detection method for bayberry trees based on an improved YOLO algorithm被引量:8
《International Journal of Digital Earth》2023年第1期781-805,共25页Youliang Chen Hanli Xu Xiangjun Zhang Peng Gao Zhigang Xu Xiaobin Huang 
supported by the Fujian Science and Technology Program(grant numbers 2021Y0074);the Fujian Science and Technology Innovation Fund(grant numbers 2020SHQM14;XIQM009).
To quickly detect and count the number of bayberry trees,this paper improves the YOLO-v4 model and proposes an optimal YOLO-v4 method for detecting bayberry trees based on UAV images.We used the Leaky_ReLU activation ...
关键词:Object detection YOLO-v4 deep learning bayberry trees plant number statistics 
A Novel Soft Clustering Approach for Gene Expression Data
《Computer Systems Science & Engineering》2022年第12期871-886,共16页E.Kavitha R.Tamilarasan Arunadevi Baladhandapani M.K.Jayanthi Kannan 
Gene expression data represents a condition matrix where each rowrepresents the gene and the column shows the condition. Micro array used todetect gene expression in lab for thousands of gene at a time. Genes encode p...
关键词:REINFORCEMENT MEMBERSHIP CENTROID threshold STATISTICS BIOINFORMATICS gene expression data 
New Probability Distributions in Astrophysics: X. Truncation and Mass-Luminosity Relationship for the Frèchet Distribution
《International Journal of Astronomy and Astrophysics》2022年第4期347-362,共16页Lorenzo Zaninetti 
The Frèchet distribution has aided the modelling of scientific data in many contexts. We demonstrate how it can be adapted to model astrophysical data. We analyze the truncated version of the Frèchet distribution de...
关键词:Stars: Normal Stars: Luminosity Function Mass Function Stars: Statistics 
Power-law statistics of synchronous transition in inhibitory neuronal networks
《Chinese Physics B》2022年第8期310-316,共7页Lei Tao Sheng-Jun Wang 
Project supported by the National Natural Science Foundation of China (Grant No. 11675096);the Fund for the Academic Leaders and Academic Backbones, Shaanxi Normal University, China (Grant No. 16QNGG007)。
We investigate the relationship between the synchronous transition and the power law behavior in spiking networks which are composed of inhibitory neurons and balanced by dc current. In the region of the synchronous t...
关键词:POWER-LAW INHIBITORY SYNCHRONIZATION neuronal networks 
Inferential Statistics and Machine Learning Models for Short-TermWind Power Forecasting
《Energy Engineering》2022年第1期237-252,共16页Ming Zhang Hongbo Li Xing Deng 
This research is supported by National Natural Science Foundation of China(No.61902158).
The inherent randomness,intermittence and volatility of wind power generation compromise the quality of the wind power system,resulting in uncertainty in the system’s optimal scheduling.As a result,it’s critical to ...
关键词:Wind power forecasting correlation analysis inferential statistics neural network-related approaches 
Decoding defect statistics from diffractograms via machine learning
《npj Computational Materials》2021年第1期601-609,共9页Cody Kunka Apaar Shanker Elton Y.Chen Surya R.Kalidindi Rémi Dingreville 
This material is based upon work supported by the U.S.Department of Energy,Office of Science,Office of Basic Energy Sciences,Data,Artificial Intelligence and Machine Learning at DOE Scientific User Facilities program under Award Number 34532.A.S.9;S.R.K.acknowledge funding from ONR award N00014-18-1-2879.
Diffraction techniques can powerfully and nondestructively probe materials while maintaining high resolution in both space and time.Unfortunately,these characterizations have been limited and sometimes even erroneous ...
关键词:diff LEARNING DEFECT 
Micro-Expression Recognition Algorithm Based on Information Entropy Feature
《Journal of Shanghai Jiaotong university(Science)》2020年第5期589-599,共11页WU Jin MIN Yu YANG Xiaodie MA Simin 
the National Natural Science Foundation of China(Nos.61772417,61634004,and 61602377);the Key R&D Progrm Projects in Shaanxi Province(No.2017GY-060);the Shaanxi Natural Science Basic Research Project(No.018JM4018)。
The intensity of the micro-expression is weak,although the directional low frequency components in the image are preserved by many algorithms,the extracted micro-expression ft^ature information is not sufficient to ac...
关键词:micro-expression recognition two-dimensional principal component analysis(2DPCA) optical flow information entropy statistics support vector machine(SVM) 
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