Frontiers of Data and Computing

2023, Volume 5 Issue 2 Publication:20 April 2023
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• Special Issue: AI for Science
• Preface
• LI Xiaoming
• Frontiers of Data and Computing, 2023, 5(2): 1–1
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• Face Age Editing Methods Based on Generative Adversarial Network: A Survey
• LIU Yunfan,LI Qi,SUN Zhenan,TAN Tieniu
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.001
• doi:10.11871/jfdc.issn.2096-742X.2023.02.001
• Frontiers of Data and Computing, 2023, 5(2): 2–23
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• Preliminary Study on Paradigm Shift in Space Weather Research Driven by Big Data and Artificial Intelligence
• HU Xiaoyan,XU Jiyao,ZOU Ziming
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.002
• doi:10.11871/jfdc.issn.2096-742X.2023.02.002
• Frontiers of Data and Computing, 2023, 5(2): 24–36
• HTML ( 24 ) | PDF (13278 KB) ( 94 )
• Research on Quantum Proton Coupled Charge Transfer Process Based on Deep Neural Network
• TU Youyou,ZHENG Qijing,ZHAO Jin
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.003
• doi:10.11871/jfdc.issn.2096-742X.2023.02.003
• Frontiers of Data and Computing, 2023, 5(2): 37–49
• HTML ( 33 ) | PDF (14460 KB) ( 216 )
• Big Data and AI for High Energy Physics
• QI Fazhi,LI Gang,LI Chun,WANG Lu,ZHANG Yi,ZHANG Zhengde,CHEN Gang,LUO Wuming,ZHAO Lina,HU Yu,YUAN Ye
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.004
• doi:10.11871/jfdc.issn.2096-742X.2023.02.004
• Frontiers of Data and Computing, 2023, 5(2): 50–59
• HTML ( 29 ) | PDF (11424 KB) ( 166 )
• Estimation of Carbon Flux of a Temperate Forest Ecosystem Based on Next-Generation Information Technologies
• GAO Tian,ZHU Jiaojun,ZHANG Jinxin,SUN Yirong,YU Fengyuan,TENG Dexiong,LU Deliang,YU Lizhong,WANG Zongguo
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.005
• doi:10.11871/jfdc.issn.2096-742X.2023.02.005
• Frontiers of Data and Computing, 2023, 5(2): 60–72
• HTML ( 12 ) | PDF (13704 KB) ( 92 )
• Design and Application of Big Data-Driven Ocean Artificial Intelligence Service Platform
• WANG Fan,FENG Liqiang,CAO Rongqiang
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.006
• doi:10.11871/jfdc.issn.2096-742X.2023.02.006
• Frontiers of Data and Computing, 2023, 5(2): 73–85
• HTML ( 26 ) | PDF (14176 KB) ( 139 )
• Research and Application of a Data-Driven Intelligent Design Platform for Materials
• WANG Zongguo,WAN Meng,CHEN Ziyi,LI Kai,WANG Xiaoguang,LIU Miao,MENG Sheng,WANG Yangang
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.007
• doi:10.11871/jfdc.issn.2096-742X.2023.02.007
• Frontiers of Data and Computing, 2023, 5(2): 86–96
• HTML ( 21 ) | PDF (9522 KB) ( 115 )
• Technology and Application
• Feature Enhancement Method for Short Text Based on Knowledge Graph and Topic Model
• XU Songyuan,LI Chengzan,LIU Feng
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.008
• doi:10.11871/jfdc.issn.2096-742X.2023.02.008
• Frontiers of Data and Computing, 2023, 5(2): 97–105
• HTML ( 15 ) | PDF (5451 KB) ( 238 )
• Development of High-Performance Parallel CFD Software and Aerodynamic Performance Prediction of High-Speed Trains
• ZHANG Xinxin,LIU Xiazhen,LIANG Shan,ZHANG Jian,LU Zhonghua,GAO Lingyun,ZHANG Haoyuan
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.009
• doi:10.11871/jfdc.issn.2096-742X.2023.02.009
• Frontiers of Data and Computing, 2023, 5(2): 106–118
• HTML ( 11 ) | PDF (9019 KB) ( 76 )
• A Survey of Research on Microblog Popularity Prediction
• LI Yan,HE Hongbo,WANG Runqiang
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.010
• doi:10.11871/jfdc.issn.2096-742X.2023.02.010
• Frontiers of Data and Computing, 2023, 5(2): 119–135
• HTML ( 32 ) | PDF (12817 KB) ( 154 )
• An Empirical Study of the Phenomenon and Effect of “Content Convergence Gravity” in Social Network ——Data Mining of Sina Microblog Based on Word2vec
• XU Xiang,ZHANG Lingyuan,WANG Yuchen
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.011
• doi:10.11871/jfdc.issn.2096-742X.2023.02.011
• Frontiers of Data and Computing, 2023, 5(2): 136–149
• HTML ( 11 ) | PDF (10661 KB) ( 66 )
• A KSPPL-Anonymity Algorithm for Personalized Location Data Publishing
• LU Gongpu,LI Xiaohui
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.012
• doi:10.11871/jfdc.issn.2096-742X.2023.02.012
• Frontiers of Data and Computing, 2023, 5(2): 150–163
• HTML ( 4 ) | PDF (9516 KB) ( 42 )
• A Job Duration Prediction Method for Computing Clusters Based on Ensemble Machine Learning
• LI He,XIU Hanwen,LIU Yanjun,CAO Rongqiang,ZHOU Chunbao,WANG Yangang
• CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.013
• doi:10.11871/jfdc.issn.2096-742X.2023.02.013
• Frontiers of Data and Computing, 2023, 5(2): 164–174
• HTML ( 15 ) | PDF (7961 KB) ( 60 )