Zobrazeno 1 - 10
of 7 525
pro vyhledávání: '"psd"'
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
Autor:
ZHANG Sikai
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 11, Pp 71-74 (2024)
Objective The control of PSD (platform screen doors) by signaling system is crucial for ensuring urban rail transit stable operation. The interface between the signaling system and the PSD system is equally important for the stable and efficient cont
Externí odkaz:
https://doaj.org/article/36f2d87db8d041808cb4a5a8ed156935
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:
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
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3602-3607 (2024)
The present work is devoted to implementation of the stilbene-based neutron spectrometer energy calibration method. The results of experiments with portable neutron generators and 238PuBe source and scattering materials with known cross sections are
Externí odkaz:
https://doaj.org/article/5f113202e5994dedbac319032000767c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Historically, the analysis of stimulus-dependent time–frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during se
Externí odkaz:
https://doaj.org/article/4e86c24e7d6b48279ad1733a9dc3ceed