Zobrazeno 1 - 10
of 59 391
pro vyhledávání: '"SPECTRAL DENSITY"'
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Accurate monitoring of the depth of anesthesia (DoA) is essential for ensuring patient safety and effective anesthesia management. Existing methods, such as the Bispectral Index (BIS), are limited in real-time accuracy and robustness. Curren
Externí odkaz:
https://doaj.org/article/45a6e8a57f5342f4b8d7fe78da70e5e5
Publikováno v:
Molecular Brain, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract The relationship between working memory (WM) and neuronal oscillations can be studied in detail using brain stimulation techniques, which provide a method for modulating these oscillations and thus influencing WM. The endogenous coupling bet
Externí odkaz:
https://doaj.org/article/bda93848568645d093cb978eec769a41
Publikováno v:
Molecular Brain, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Working memory (WM) is essential for the temporary storage and processing of information required for complex cognitive tasks and relies on neuronal theta and gamma oscillations. Given the limited capacity of WM, researchers have investigate
Externí odkaz:
https://doaj.org/article/7e68544aa885453bb4698fe8d76a1bf9
Autor:
Nitzan, Abraham
Publikováno v:
Chemical Dynamics in Condensed Phases: Relaxation, Transfer, and Reactions in Condensed Molecular Systems.
Externí odkaz:
https://doi.org/10.1093/9780191947971.003.0006
Autor:
Youlong Wu, Shuai Chen
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-24 (2024)
Abstract Angular random walk (ARW), rate random walk (RRW), and bias instability (BI) are the main noise types in inertial measurement units (IMUs) and thus determine the navigation performance of IMUs. BI is the flicker noise, which determines the n
Externí odkaz:
https://doaj.org/article/cdadd5ff48e64b10abda894b85d5159f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To ensure the reliability of machining quality, it is crucial to predict tool wear accurately. In this paper, a novel deep learning-based model is proposed, which synthesizes the advantages of power spectral density (PSD), convolutional neur
Externí odkaz:
https://doaj.org/article/20150b8c24cb4681b9f4b41447cdc286
Autor:
H. P. Kulterbaev, M. M. Payzulaev
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 2, Pp 216-222 (2024)
Objective. Longitudinal forced harmonic vibrations of vertical rods with a concentrated mass at the end are considered.Method. The mathematical model of forced kinematically excited longitudinal vibrations is described by a differential equation and
Externí odkaz:
https://doaj.org/article/dc7c683cfafa451a83c34be2a37a1d62
Autor:
Sebastian Orth, Harald Klingbeil
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-23 (2024)
Abstract The maximum length binary sequence (MLBS) is widely used as a broadband pseudo-random noise excitation signal, for example, for system identification. Although its properties have been known for decades, misleading or inaccurate statements c
Externí odkaz:
https://doaj.org/article/3f5a9b1bed2f4a72a7eb68cf20d58bb6