Zobrazeno 1 - 10
of 40 096
pro vyhledávání: '"model selection"'
Autor:
Xingfeng Li, Yuan Zhang
Publikováno v:
Tomography, Vol 10, Iss 10, Pp 1564-1576 (2024)
Background: Studying causality relationships between different brain regions using the fMRI method has attracted great attention. To investigate causality relationships between different brain regions, we need to identify both the brain network struc
Externí odkaz:
https://doaj.org/article/12de2029511a4835a88dd4f8b2539f5d
Publikováno v:
Forecasting, Vol 6, Iss 3, Pp 718-747 (2024)
Time series forecasting has witnessed a rapid proliferation of novel neural network approaches in recent times. However, performances in terms of benchmarking results are generally not consistent, and it is complicated to determine in which cases one
Externí odkaz:
https://doaj.org/article/2ca0266f4af749a784a6727ddbf1dde2
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 3, Pp 419-427 (2024)
Purpose: Personalized treatment planning in Molecular Radiotherapy (MRT) with accurately determining the absorbed dose is highly desirable. The absorbed dose is calculated based on the Time-Integrated Activity (TIA) and the dose conversion factor. A
Externí odkaz:
https://doaj.org/article/9862cfef588c48bab2b4efc17d631197
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-21 (2024)
Abstract In this work, we explore the extent to which the spectrum of the graph Laplacian can characterize the probability distribution of random graphs for the purpose of model evaluation and model selection for network data applications. Network da
Externí odkaz:
https://doaj.org/article/78bcbbeceac242659205075c7750a39f
Autor:
Heather E. Gaya, Alison C. Ketz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Hierarchical models are common for ecological analysis, but determining appropriate model selection methods remains an ongoing challenge. To confront this challenge, a suitable method is needed to evaluate and compare available candidate mod
Externí odkaz:
https://doaj.org/article/412e887bf01b4735a13490b6fbb76297
Publikováno v:
Energy Reports, Vol 11, Iss , Pp 637-650 (2024)
It is known that load forecasting plays an important role for the smart grids and mostly, the users have the combinational load forecast demands with different time-scales. However, due to various internal or external factors, such as poor management
Externí odkaz:
https://doaj.org/article/501af0b8d304494c9277a0f851bdc28e
Autor:
Alexander A. Yefremov, Kamol K. Kadyrov, Mikhail D. Noskov, Alexander A. Filipas, Alexander A. Shchipkov
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 335, Iss 10 (2024)
Relevance. A submersible electric motor is the most vulnerable component of an electric centrifugal pumping unit used in in-situ leaching uranium mining. The accuracy of calculating the need for new electric motors directly affects the profitability
Externí odkaz:
https://doaj.org/article/a77d5b762947430dbf571a5cca79cad2
Publikováno v:
PeerJ, Vol 12, p e18304 (2024)
Background In epidemiology, indicators such as the relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (S) are commonly used to assess additive interactions between two variables. However, the results of th
Externí odkaz:
https://doaj.org/article/2de838759a434fe8b34c6b86823a921d
Autor:
Gary C. Packard
Publikováno v:
Biology Open, Vol 13, Iss 9 (2024)
Externí odkaz:
https://doaj.org/article/2b4e940fd30942328d00be96d60ffb06