Zobrazeno 1 - 10
of 2 356
pro vyhledávání: '"information loss"'
Autor:
Loukia M. Spineli
Publikováno v:
Systematic Reviews, Vol 13, Iss 1, Pp 1-11 (2024)
Abstract Background The standard approach to local inconsistency assessment typically relies on testing the conflict between the direct and indirect evidence in selected treatment comparisons. However, statistical tests for inconsistency have low pow
Externí odkaz:
https://doaj.org/article/6cbfa11ec73b4b91948a2160b7d0b975
Autor:
Michael Yao, Jason Daniels, Luke Grosvenor, Valerie Morrill, Jason I. Feinberg, Kelly M. Bakulski, Joseph Piven, Heather C. Hazlett, Mark D. Shen, Craig Newschaffer, Kristen Lyall, Rebecca J. Schmidt, Irva Hertz-Picciotto, Lisa A. Croen, M. Daniele Fallin, Christine Ladd-Acosta, Heather Volk, Kelly Benke
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-12 (2024)
Abstract Background Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance
Externí odkaz:
https://doaj.org/article/065b3e24ae6742c08b0d1d741348b431
Publikováno v:
Machinery & Energetics, Vol 15, Iss 2, Pp 81-94 (2024)
The purpose of this study was to adaptively optimise sensor networks using unmanned aerial vehicles to reduce information losses and ensure the minimum possible technical performance of information transmission channels in the face of a considerable
Externí odkaz:
https://doaj.org/article/1cc6e27558614cb6b44657c72b2cb330
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104049- (2024)
The point-based 3D object detection method is highly advantageous due to its lightweight nature and fast inference speed, making it a valuable asset in engineering fields such as intelligent transportation and autonomous driving. However, current adv
Externí odkaz:
https://doaj.org/article/2043af5d25e54a5fad6f9a1542328025
Autor:
Yue Jiang, Guoqing Zhou
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9549-9568 (2024)
The loss of feature information during scale propagation in the deep learning method usually causes a big misclassification rate for many complex urban scenes. For this reason, this article presents a new deep learning method, called “Feature combi
Externí odkaz:
https://doaj.org/article/15caf8eca8174430b822b5c6abfca242
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 160-173 (2024)
We propose a method to estimate information loss when conducting histogram binning and principal component analysis (PCA) sequentially, as usually done in practice for fleet analytics. Coarser-grained histogram binning results in less data volume, fe
Externí odkaz:
https://doaj.org/article/7ef471634399466284f827cd1b6be6bf
Autor:
Dodla Tori Reddy, Jones Laura Ann
Publikováno v:
Scientific Bulletin, Vol 28, Iss 1, Pp 44-54 (2023)
Used to store, manage, and leverage information, knowledge management systems are becoming increasingly valuable assets within organizations. Organizations must manage knowledge internally (through knowledge risks) and externally (through reputationa
Externí odkaz:
https://doaj.org/article/f825123558d9489c9c372c6eacccd2d9
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
The age of big data has fueled expectations for accelerating learning. The availability of large data sets enables researchers to achieve more powerful statistical analyses and enhances the reliability of conclusions, which can be based on a broad co
Externí odkaz:
https://doaj.org/article/101a3af269684550a71a4253f9c00851
Autor:
A.V. Chernyshov
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 2 (2023)
Background. When designing electronic archives of long-term storage based on write once optical disks, it is necessary to take into account many parameters, the most significant among which are: the probability of losing at least part of the stored
Externí odkaz:
https://doaj.org/article/49b021a8c5e34927b80e9eb977f79917
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