Zobrazeno 1 - 10
of 318
pro vyhledávání: '"temporal convolutional network (TCN)"'
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 463-476 (2024)
Existing sea surface small target detection methods typically rely on intricate feature extraction techniques on transformed radar returns. However, these approaches suffer from issues of high computational complexity and low real-time performance. T
Externí odkaz:
https://doaj.org/article/86aa8bd8114541259851876e9d372c8f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Secondary structure prediction is a key step in understanding protein function and biological properties and is highly important in the fields of new drug development, disease treatment, bioengineering, etc. Accurately predicting the seconda
Externí odkaz:
https://doaj.org/article/d1e6250e50c446328606c4bb851a1c72
Autor:
Zheng, Xiaoqing, Wu, Baofan, Chen, Huiming, Xue, Anke, Zheng, Song ⁎, Ge, Ming, Kong, Yaguang
Publikováno v:
In Chemical Engineering Research and Design December 2024 212:168-184
Publikováno v:
Defence Technology, Vol 33, Iss , Pp 463-474 (2024)
When employing penetration ammunition to strike multi-story buildings, the detection methods using acceleration sensors suffer from signal aliasing, while magnetic detection methods are susceptible to interference from ferromagnetic materials, thereb
Externí odkaz:
https://doaj.org/article/a06a21fcf8de4a87bcf0b3ad5299709b
Publikováno v:
IEEE Access, Vol 12, Pp 155423-155436 (2024)
The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), Simple Exponential Smoothing (SES), deep learning models, and,
Externí odkaz:
https://doaj.org/article/143bd0739bdc4290a5fd28a1835d602b
Publikováno v:
IEEE Access, Vol 12, Pp 132543-132551 (2024)
Precise forecasting of cable joint temperature is vital for guaranteeing the safe operation of power supply systems. Nonetheless, the existing predictions are primarily ultra-short-term predictions with brief time steps. This study presents a short-t
Externí odkaz:
https://doaj.org/article/7cd81e3292844f02a272ee1b055cd515
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12451-12465 (2024)
Multispectral reflectance—signals reflected from the Earth's surface across different wavelengths—is a primary data source for most remote sensing applications. However, obtaining complete cloud-free multispectral reflectance time series during t
Externí odkaz:
https://doaj.org/article/5621311b875841d29cfbee6e42f2f544
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9373 (2024)
Building energy consumption prediction has always played a significant role in assessing building energy efficiency, building commissioning, and detecting and diagnosing building system faults. With the progress of society and economic development, b
Externí odkaz:
https://doaj.org/article/44127ca2f37841259e95bdb42a339334
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8772 (2024)
Electrocardiographic signals (ECG) are ubiquitous, which justifies the research of their optimal storage and transmission. However, proposals for non-uniform signal sampling must take into account the priority of diagnostic data accuracy and record i
Externí odkaz:
https://doaj.org/article/a7e7f6dbfc3d4747b29a1c73623ae786
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