Zobrazeno 1 - 10
of 4 863
pro vyhledávání: '"Golay"'
Publikováno v:
Water Supply, Vol 24, Iss 4, Pp 1131-1148 (2024)
The improvement in predicting groundwater depth accuracy has significant implications for the management, ecological environment protection, and economic and social development of regional water resources. Employing empirical wavelet transform (EWT)
Externí odkaz:
https://doaj.org/article/4a3d3289675041b2b2951c73db4b80cc
Autor:
Hyun Woo Cho, Young Joon Song
Publikováno v:
ICT Express, Vol 10, Iss 2, Pp 393-399 (2024)
In this study, we explore the potential of leveraging machine learning techniques, specifically auto-encoders (AE), for the decoding of linear block codes. Our findings suggest that this approach can outperform the conventional ordered statistics dec
Externí odkaz:
https://doaj.org/article/74518949c5ec48649878f463d0f974e1
Autor:
Reagan Jean Jacques Molu, Bhaskar Tripathi, Wulfran Fendzi Mbasso, Serge Raoul Dzonde Naoussi, Mohit Bajaj, Patrice Wira, Vojtech Blazek, Lukas Prokop, Stanislav Misak
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102461- (2024)
The optimization of solar energy integration into the power grid relies heavily on accurate forecasting of solar irradiance. In this study, a new approach for short-term solar irradiance forecasting is introduced. This method combines Bayesian Optimi
Externí odkaz:
https://doaj.org/article/2ff5715aceb34708bb94e5204c355bed
Implementasi Savitzky Golay Filter pada Sistem Wireless Odometer untuk Informasi Perawatan Kendaraan
Autor:
WAHYU SETYO PAMBUDI, MELLIANTO INDRAWAN, RIZA AGUNG FIRMANSYAH, AKHMAD FAHRUZI, TITIEK SUHETA
Publikováno v:
Jurnal Elkomika, Vol 12, Iss 3 (2024)
ABSTRAK Perawatan kendaraan berkala berdasarkan jarak tempuh menggunakan wireless odometer merupakan solusi untuk memberikan informasi kepada pemilik kendaraan. Penelitian sebelumnya menunjukkan bahwa wireless odometer memiliki kelemahan, yaitu pemb
Externí odkaz:
https://doaj.org/article/0f038d87a7814a65b0f14bab1aa98a0e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Vibration displacement is one of the key parameters in fault diagnosis of vibrating screens. Monitoring of acceleration signals of vibrating screens can be disturbed due to various factors such as on-site working conditions and equipment. In
Externí odkaz:
https://doaj.org/article/43512cd41c9e488ca5eb2fc1a14da049
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13439-13455 (2024)
The incompleteness of the normalized difference vegetation index (NDVI) time series (TS) restricts its expanded applications in key domains. Although spatio-temporal hybrid methods show promise in TS reconstruction, reliance on auxiliary data in most
Externí odkaz:
https://doaj.org/article/d8630fd19dbb4438a5c466b0e54c39a1
Publikováno v:
IEEE Access, Vol 12, Pp 87991-88005 (2024)
In actual engineering production, bearings typically operate in harsh environments. The fault features of bearing vibration signals are often submerged by background noise, making it difficult to extract the fault signal features and impacting the ac
Externí odkaz:
https://doaj.org/article/0af140ed3e764c14b1e8e5368f957471
Autor:
Zhu, Jiahua1,2,3,4 zhujiahua1019@hotmail.com, Wang, Xuezhi2,3, Huang, Xiaotao1,4, Suvorova, Sofia2,3, Moran, Bill2,3
Publikováno v:
Sensors (14248220). Jan2018, Vol. 18 Issue 1, p192. 20p.
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10339 (2024)
Pipeline leakage represents a critical challenge in smart cities and various industries, leading to severe economic, environmental, and safety consequences. Early detection of leaks is essential for overcoming these risks and ensuring the safe operat
Externí odkaz:
https://doaj.org/article/c919ffd6a95b4414b47c9b796379dfeb
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4261 (2024)
Species-level phenology models are essential for predicting shifts in tree species under climate change. This study quantified phenological differences among dominant miombo tree species and modeled seasonal variability using climate variables. We us
Externí odkaz:
https://doaj.org/article/883186b66c254f8bb8aa0bd94cd28c27