Standardized data processing

被引:0
|
作者
机构
[1] Pu, Wenjing
来源
Pu, W. | 1600年 / National Research Council卷
关键词
D O I
10.3141/2338-06
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Standardized Big Data Processing in Hybrid Clouds
    Simonis, Ingo
    GISTAM: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT, 2018, : 205 - 210
  • [2] On Open Workflows for Processing of Standardized Electroencephalography Data
    Moucek, Roman
    Kupilik, Filip
    HEALTHINF: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL. 5: HEALTHINF, 2021, : 667 - 676
  • [3] An integrated framework for geospatial data discovering and standardized processing
    Shao, Yuanzheng
    Di, Liping
    Kang, Lingjun
    Bai, Yuqi
    2013 SECOND INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2013, : 333 - 336
  • [4] ProteinScape:: A versatile solution for standardized data processing in proteomics
    Thiele, H.
    Glandorf, J.
    Koerting, G.
    Chamrad, D.
    Suckau, D.
    Stephan, C.
    Blueggel, M.
    MOLECULAR & CELLULAR PROTEOMICS, 2006, 5 (10) : S221 - S221
  • [5] Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
    Kim, Gwangsun
    Chatterjee, Niladrish
    O'Connor, Mike
    Hsieh, Kevin
    SC'17: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2017,
  • [6] A standardized image processing and data quality platform for rodent fMRI
    Desrosiers-Gregoire, Gabriel
    Devenyi, Gabriel A.
    Grandjean, Joanes
    Chakravarty, M. Mallar
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [7] Standardized subsea processing
    Haun, Eric
    Offshore Engineer, 2019, 44 (04):
  • [8] A Standardized ICS Network Data Processing Flow With Generative Model in Anomaly Detection
    Yang, Tao
    Hu, Yibo
    Li, Yang
    Hu, Wei
    Pan, Quan
    IEEE ACCESS, 2020, 8 (08): : 4255 - 4264
  • [9] Computational processing and error reduction strategies for standardized quantitative data in biological networks
    Schilling, M
    Maiwald, T
    Bohl, S
    Kollmann, M
    Kreutz, C
    Timmer, J
    Klingmüller, U
    FEBS JOURNAL, 2005, 272 (24) : 6400 - 6411
  • [10] The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software for Developmental and High-Artifact Data
    Gabard-Durnam, Laurel J.
    Leal, Adriana S. Mendez
    Wilkinson, Carol L.
    Levin, April R.
    FRONTIERS IN NEUROSCIENCE, 2018, 12