Zobrazeno 1 - 10
of 4 318
pro vyhledávání: '"Incomplete data"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract A method for skyline query of multidimensional incomplete data based on a classification tree has been proposed to address the problem of a large amount of useless data in existing skyline queries with multidimensional incomplete data, which
Externí odkaz:
https://doaj.org/article/6b554fdaf779474cbbb6a2a5563970bc
Publikováno v:
Systematic Reviews, Vol 13, Iss 1, Pp 1-10 (2024)
Abstract Background Binary outcomes are likely the most common in randomized controlled trials, but ordinal outcomes can also be of interest. For example, rather than simply collecting data on diseased versus healthy study subjects, investigators may
Externí odkaz:
https://doaj.org/article/f1040ff5ae75435990a8179f2b0baf00
Publikováno v:
Movement Ecology, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Integrated step-selection analyses (iSSAs) are versatile and powerful frameworks for studying habitat and movement preferences of tracked animals. iSSAs utilize integrated step-selection functions (iSSFs) to model movements in discrete time,
Externí odkaz:
https://doaj.org/article/18425e7793934543bf09a4a1e90924b7
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 4, Pp 534-544 (2024)
Characteristic viscosity is a key indicator of the quality of polyester melts, whose accurate prediction can help to identify potential quality problems of polyester melts in advance, adjust the process parameters in time and reduce enterprise losses
Externí odkaz:
https://doaj.org/article/c7e3f67d88bd4209a3d4c36c7e52d8ce
Autor:
Yipeng Miao, Yenan Xu
Publikováno v:
IEEE Access, Vol 12, Pp 96179-96192 (2024)
The integrity of data is crucial for the majority of existing data analysis methods. However, incomplete and unbalanced datasets from the collection and organization process will affect analysis accuracy. Existing interpolation algorithms often overl
Externí odkaz:
https://doaj.org/article/115cd0c54f024e8c8f069a6aa7419a8b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 840-849 (2024)
Sleep abnormalities can have severe health consequences. Automated sleep staging, i.e. labelling the sequence of sleep stages from the patient’s physiological recordings, could simplify the diagnostic process. Previous work on automated sleep stagi
Externí odkaz:
https://doaj.org/article/2c5503d35c61408b9d19c82df55cad95
Autor:
Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3362 (2024)
In the field of structural damage detection through vibration measurements, most existing methods demand extensive data collection, including vibration readings at multiple levels, strain data, temperature measurements, and numerous vibration modes.
Externí odkaz:
https://doaj.org/article/2876350aab5e4e33b50185474dae63a5
Publikováno v:
Infectious Disease Modelling, Vol 10, Iss 1, Pp 257-267 (2025)
The infectious disease surveillance system is a key support tool for public health decision making. Current research concentrates on optimizing static sentinel deployment to address the problem of incomplete data due to the lack of sufficient surveil
Externí odkaz:
https://doaj.org/article/5085a373da7a4958914c1dd5697155d2
Autor:
Huimin Li, Jinru Wang
Publikováno v:
AIMS Mathematics, Vol 8, Iss 9, Pp 21439-21462 (2023)
This paper investigates generalized pilot estimators of covariance matrix in the presence of missing data. When the random samples have only bounded fourth moment, two kinds of generalized pilot estimators are provided, the generalized Huber estimato
Externí odkaz:
https://doaj.org/article/7485df894f4e44adbfe10f1c1b8bb84a
Autor:
Zhang, Xijuan
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 19, Iss 2, Pp 100-122 (2023)
Missing data are common in psychological and educational research. With the improvement in computing technology in recent decades, more researchers have begun developing missing data techniques. In their research, they often conduct Monte Carlo simul
Externí odkaz:
https://doaj.org/article/2c1bba45bab74dc6a1977e7cb8d1b416