Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Data Pipeline"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-42 (2024)
Abstract Serverless computing has gained significant popularity due to its scalability, cost-effectiveness, and ease of deployment. With the exponential growth of data, organizations face the challenge of efficiently processing and analyzing vast amo
Externí odkaz:
https://doaj.org/article/1195b9a1e2984826b82bc54ef1bac4b8
Autor:
Kaichong Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 127522-127531 (2024)
The rising popularity of artificial intelligence has led to an increasing amount of research on deep learning models. Many current studies have focused on topics such as model structures, model optimization techniques, fine-tuning, and transfer learn
Externí odkaz:
https://doaj.org/article/110c015758604d2f920db886a4fee877
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
With the increasing utilization of data in various industries and applications, constructing an efficient data pipeline has become crucial. In this study, we propose a machine learning operations-centric data pipeline specifically designed for an ene
Externí odkaz:
https://doaj.org/article/e46e76f5d7334b8a9ccd72885f280796
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Advancements in phenotyping technology have enabled plant science researchers to gather large volumes of information from their experiments, especially those that evaluate multiple genotypes. To fully leverage these complex and often heterogeneous da
Externí odkaz:
https://doaj.org/article/96e2051d58cc4dd69040271446233524
Autor:
Hongrun REN, Yangyong ZHU
Publikováno v:
大数据, Vol 9, Pp 15-28 (2023)
The current exploration of data element market construction mainly focuses on the construction of data trading venues, while the streaming data market refers to the market in which data suppliers continuously and quickly supply specific data to data
Externí odkaz:
https://doaj.org/article/c5914b286c3a44a19d8d4f7e1ccef298
Autor:
Francisco José de Haro-Olmo, Alvaro Valencia-Parra, Ángel Jesús Varela-Vaca, José Antonio Álvarez-Bermejo, María Teresa Gómez-López
Publikováno v:
PeerJ Computer Science, Vol 9, p e1605 (2023)
The complexity of analysing data from IoT sensors requires the use of Big Data technologies, posing challenges such as data curation and data quality assessment. Not facing both aspects potentially can lead to erroneous decision-making (i.e., process
Externí odkaz:
https://doaj.org/article/34cf277b71f7435191f87b6a83c25113
Autor:
Nicholas Tierney, Dianne Cook
Publikováno v:
Journal of Statistical Software, Vol 105, Pp 1-31 (2023)
Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus on how to make it easy to handle, explore, and impute missing values in data. This paper addresses this gap. The n
Externí odkaz:
https://doaj.org/article/b51e13ad39a8410c90413e746452a1f7
Autor:
M. Feshuk, L. Kolaczkowski, K. Dunham, S. E. Davidson-Fritz, K. E. Carstens, J. Brown, R. S. Judson, K. Paul Friedman
Publikováno v:
Frontiers in Toxicology, Vol 5 (2023)
Introduction: The US Environmental Protection Agency Toxicity Forecaster (ToxCast) program makes in vitro medium- and high-throughput screening assay data publicly available for prioritization and hazard characterization of thousands of chemicals. Th
Externí odkaz:
https://doaj.org/article/70699a94c7954b9ea3ef68619508ecf6
Publikováno v:
Frontiers in Systems Biology, Vol 3 (2023)
Largely unknown just a few decades ago, computational systems biology is now a central methodology for biological and medical research. This amazing ascent raises the question of what the community should do next. The article outlines our personal vi
Externí odkaz:
https://doaj.org/article/0eb9e6ca10454b2aa1021805020f4bb4
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