Big-data-analytics in astronomy, sci...
BDA (Conference) (2021 :)

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  • Big-data-analytics in astronomy, science, and engineering = 9th International Conference on Big Data Analytics, BDA 2021, virtual event, December 7-9, 2021 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Big-data-analytics in astronomy, science, and engineering/ edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla.
    其他題名: 9th International Conference on Big Data Analytics, BDA 2021, virtual event, December 7-9, 2021 : proceedings /
    其他題名: BDA 2021
    其他作者: Sachdeva, Shelly.
    團體作者: BDA (Conference)
    出版者: Cham :Springer International Publishing : : 2022.,
    面頁冊數: xiii, 279 p. :ill., digital ;24 cm.
    內容註: Data Science: Systems -- Big Data Management for Policy Support in Sustainable Development -- Development of the Research Data Archive at OIST -- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery -- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data -- DATA SCIENCE: Architectures -- Autonomous real-time science-driven follow-up of survey transients -- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe -- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer -- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies -- Big Data Analytics in Domain-Specific Systems -- Blockchain Enabled System for Interoperable Healthcare -- Skin cancer recognition for low resolution images -- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System -- Journey of Database Migration From RDBMS to NoSQL Data Stores -- Information Interchange of Web Data Resources -- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems -- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR -- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs -- Experimenting with Assamese Handwritten Character Recognition -- Business Analytics -- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing -- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer -- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment -- Approximate Query Processing with Error Guarantees.
    Contained By: Springer Nature eBook
    標題: Big data - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-96600-3
    ISBN: 9783030966003
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W9440255 電子資源 11.線上閱覽_V 電子書 EB QA76.9.D343 B33 2021 一般使用(Normal) 在架 0
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