Zobrazeno 1 - 10
of 8 744
pro vyhledávání: '"EMD"'
Autor:
Effat Yahaghi
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 14, Iss 5, Pp 469-476 (2024)
Background: The precise evaluation of tissue permeability using the Magnetic Resonance Imaging (MRI) method requires high-quality images. Due to noisy acquired dynamic MRI images, some methods of processing are required to obtain the imaging detail o
Externí odkaz:
https://doaj.org/article/8b99ad7ebaff4e958ecc3c9597d8c283
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Actual acquired air quality time series data are highly volatile and nonstationary, and accurately predicting nonlinear time series data containing complex noise is an ongoing challenge. This paper proposes an air quality prediction method b
Externí odkaz:
https://doaj.org/article/2757a05cee2e4aacbb0af10f2b76eb68
Autor:
Akira Hasuike, Taito Watanabe, Akemu Hirooka, Shingi Arai, Hideyasu Akutagawa, Naoto Yoshinuma, Shuichi Sato
Publikováno v:
Japanese Dental Science Review, Vol 60, Iss , Pp 239-249 (2024)
This systematic review evaluated the effectiveness of combining enamel matrix derivative (EMD) with various bone grafts in periodontal regenerative surgery, specifically targeting intrabony defects. Randomized controlled trials with 12-month follow-u
Externí odkaz:
https://doaj.org/article/0336bf39ecdf435db5d10aa990fd6710
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss S1, Pp 141-148 (2024)
As a critical equipment in nuclear power plants, valve leakage would have an impact on system safety and stable operation. Using acoustic emission technology to identify valve leakage and distinguish between different leakage modes of internal and ex
Externí odkaz:
https://doaj.org/article/c9f4899c0e5440b180959060715d39ed
Autor:
Farhad Alizadeh, Kiyoumars Roushangar
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 6, Pp 2665-2686 (2024)
This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series. Therefore, in the present research, the empirical mode decomposition (EMD), variational mod
Externí odkaz:
https://doaj.org/article/e68adb2354924c1ea2490edc6a50ecc3
Publikováno v:
Urban Rail Transit, Vol 10, Iss 2, Pp 178-187 (2024)
Abstract Accurate forecasting of airport light rail transit line (ALRTL) outbound passenger flow is critical to the optimal operations of both light rail and airport systems. Considering the nonlinearity, non-stationarity, uncertainty, and periodicit
Externí odkaz:
https://doaj.org/article/2286e1b43a17456eba10a85fac4c86ce
Autor:
Shuvendu Pal Shuvo, Joarder MdAshikuzzaman, Shirshendu Pal Shibazee, Goutam Paul, Pritam Banerjee, Kazi Mashfiq Fahmid, Ashiqur Rahman
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36290- (2024)
In this study, a hybrid Machine Learning (ML) approach is proposed for Relative Humidity (RH) prediction with a combination of Empirical Mode Decomposition (EMD) to improve the prediction accuracy over the traditional prediction technique using a Mac
Externí odkaz:
https://doaj.org/article/6304bcc13b6c4cee95f36d90cc7e54a7
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 648-57 (2024)
To address the challenges of secure and reliable communication and system quality of service (QoS) prediction in intelligent production lines (IPL) in the Industrial Intelligent Internet of Things (II-IOT) environment, a redundant collaborative secur
Externí odkaz:
https://doaj.org/article/70221a02af6d4a2cbf0c773dbb010f99
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 9419-9434 (2024)
The adjusted precision of economic values is essential in the global economy. In recent years, researchers have increased their interest in making accurate predictions in this type of time series; one of the reasons is that the characteristics of thi
Externí odkaz:
https://doaj.org/article/f50ff0ee6bef4c15adb17f007e0eea9e
Publikováno v:
Electronic Research Archive, Vol 32, Iss 3, Pp 1731-1748 (2024)
An optimization algorithm for federated learning, equipped with an incentive mechanism, is introduced to tackle the challenges of excessive iterations, prolonged training durations, and suboptimal efficiency encountered during model training within t
Externí odkaz:
https://doaj.org/article/6e736ccd356a4061bd69c664d457380c