Zobrazeno 1 - 10
of 2 852
pro vyhledávání: '"Subsampling"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Scaling relationships are key in characterizing complex systems at criticality. In the brain, they are evident in neuronal avalanches—scale-invariant cascades of neuronal activity quantified by power laws. Avalanches manifest at the cellul
Externí odkaz:
https://doaj.org/article/d8a478c2adf948a09bd8fd6677111321
Autor:
Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang
Publikováno v:
Statistical Theory and Related Fields, Vol 8, Iss 3, Pp 163-185 (2024)
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades. In this work, we focus on three ca
Externí odkaz:
https://doaj.org/article/88f77d041db947be8d00ebfb9ea8dcc2
Publikováno v:
Journal of Nigerian Society of Physical Sciences, Vol 6, Iss 4 (2024)
A suitable probability distribution is required to quantify and estimate hydraulic structure design for risk evaluation and management. The inability of model selection criteria to differentiate, in some cases, among candidate distributions used in t
Externí odkaz:
https://doaj.org/article/256724d9a4204af6a843e58788cd78c0
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 4, Pp 57-68 (2024)
This article presents a receiver for narrowband IoT (NB-IoT) that eliminates the need for an RF local oscillator (LO) via a subsampling architecture. A pseudo-balun Q-boosted LNA provides sharp anti-aliasing filtering with a noise figure (NF) of 5.6
Externí odkaz:
https://doaj.org/article/fc7bc719d8da48299703a9af3449b824
Publikováno v:
Algorithms, Vol 17, Iss 11, p 524 (2024)
With the exponential growth of data across diverse fields, applying conventional statistical methods directly to large-scale datasets has become computationally infeasible. To overcome this challenge, subsampling algorithms are widely used to perform
Externí odkaz:
https://doaj.org/article/05976424af3a45e8b9084644d7d5b86a
Publikováno v:
IJEBD (International Journal of Entrepreneurship and Business Development), Vol 7, Iss 3 (2024)
This study examines the effect of different drying processes on the quality characteristics of arabica coffee in Karot Village, Langke Rembong Subdistrict, Manggarai Regency. Employing an experimental design with a two-factor analysis of variance, th
Externí odkaz:
https://doaj.org/article/8d584dc385534261b5f902ce2671f712
Publikováno v:
Electronic Research Archive, Vol 31, Iss 11, Pp 7021-7039 (2023)
A key issue in current federated learning research is how to improve the performance of federated learning algorithms by reducing communication overhead and computing costs while ensuring data privacy. This paper proposed an efficient wireless transm
Externí odkaz:
https://doaj.org/article/10035946918e419e9c90b579e0d8680e
Publikováno v:
Mathematics, Vol 12, Iss 19, p 2985 (2024)
The idea of experimental design has been widely used in subsampling algorithms to extract a small portion of big data that carries useful information for statistical modeling. Most existing subsampling algorithms of this kind are model-based and desi
Externí odkaz:
https://doaj.org/article/74be4b831fce4507bc7c0bf4a02fdaac
Autor:
Philipp Reiter, Markus C. Casper
Publikováno v:
Hydrology, Vol 11, Iss 9, p 143 (2024)
Bias in regional climate model (RCM) data makes bias correction (BC) a necessary pre-processing step in climate change impact studies. Among a variety of different BC methods, quantile mapping (QM) is a popular and powerful BC method. Studies have sh
Externí odkaz:
https://doaj.org/article/bc4f136edd384fa58aef56a7e310cf34
Publikováno v:
Viruses, Vol 16, Iss 5, p 710 (2024)
In quasispecies diversity studies, the comparison of two samples of varying sizes is a common necessity. However, the sensitivity of certain diversity indices to sample size variations poses a challenge. To address this issue, rarefaction emerges as
Externí odkaz:
https://doaj.org/article/fc29eb0d7cd94e47b0ef7e6bc52cc7a6