Zobrazeno 1 - 10
of 1 631
pro vyhledávání: '"Independent data"'
Publikováno v:
HRB Open Research, Vol 6 (2024)
Background Data and Safety Monitoring is integral to quality assurance of clinical trials. Although monitoring is a core legal component of regulated clinical trials, non-regulated trials are not mandated to incorporate monitoring. Consequently, the
Externí odkaz:
https://doaj.org/article/a7f58bd1bfd2484e92a931c97df3ea3c
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The value of no-take marine protected areas (MPAs) in providing fisheries-independent information to evaluate the status of adjacent fish stocks is increasingly being recognised. However, to ensure robust assessments of fisheries using this approach,
Externí odkaz:
https://doaj.org/article/70d18bc269cc499fa2532f3777bd5140
Publikováno v:
Fishes, Vol 9, Iss 9, p 355 (2024)
Marine protected areas (MPAs) can allow some fish populations to rebuild within their borders in areas impacted by overfishing, but the effectiveness of reserves is highly dependent on how effectively fishing mortality is controlled, which in turn de
Externí odkaz:
https://doaj.org/article/2100321130ab408cabae8a91a4544290
Publikováno v:
HRB Open Research, Vol 6 (2023)
Background Data and Safety Monitoring is integral to quality assurance of clinical trials. Although monitoring is a core legal component of regulated clinical trials, non-regulated trials are not mandated to incorporate monitoring. Consequently, the
Externí odkaz:
https://doaj.org/article/79eafbc629cf43b99fea7399bd868592
Autor:
Laith R. Sultan, Theodore W. Cary, Maryam Al-Hasani, Mrigendra B. Karmacharya, Santosh S. Venkatesh, Charles-Antoine Assenmacher, Enrico Radaelli, Chandra M. Sehgal
Publikováno v:
AI, Vol 3, Iss 3, Pp 739-750 (2022)
Machine learning for medical imaging not only requires sufficient amounts of data for training and testing but also that the data be independent. It is common to see highly interdependent data whenever there are inherent correlations between observat
Externí odkaz:
https://doaj.org/article/91af7bdbbbdc497586c2bb233122321d
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
Entropy, Vol 25, Iss 5, p 703 (2023)
This study concerns dispersed data stored in independent local tables with different sets of attributes. The paper proposes a new method for training a single neural network—a multilayer perceptron based on dispersed data. The idea is to train loca
Externí odkaz:
https://doaj.org/article/e3643f09078245968802fd33e7401fda
Publikováno v:
MethodsX, Vol 9, Iss , Pp 101660- (2022)
Large sets of autocorrelated data are common in fields such as remote sensing and genomics. For example, remote sensing can produce maps of information for millions of pixels, and the information from nearby pixels will likely be spatially autocorrel
Externí odkaz:
https://doaj.org/article/f7e9a6a2d38240158d74125eddd63bfb