Zobrazeno 1 - 10
of 998
pro vyhledávání: '"Sequence prediction"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-19 (2024)
Abstract Load prediction tasks aim to predict the dynamic trend of future load based on historical performance sequences, which are crucial for cloud platforms to make timely and reasonable task scheduling. However, existing prediction models are lim
Externí odkaz:
https://doaj.org/article/ef97044f66df4e07981df4b436366c5e
Publikováno v:
IEEE Access, Vol 12, Pp 33832-33842 (2024)
Recently, significant developments have been made in Long Short-Term Memory (LSTM) networks within the realm of synthesis music. Notwithstanding these advancements, several challenges persist warranting further research. Primarily, there exists an ab
Externí odkaz:
https://doaj.org/article/2f7e28d61031405dad0f657765291829
Publikováno v:
Buildings, Vol 14, Iss 10, p 3279 (2024)
The deep learning steel plastic constitutive model training method was studied based on the recurrent neural network (RNN) model to improve the allocative efficiency of the deep learning steel plastic constitutive model and promote its application in
Externí odkaz:
https://doaj.org/article/c3ba15d4b4004e31b623ca864581fc5b
Publikováno v:
Sensors, Vol 24, Iss 18, p 6049 (2024)
Precipitation nowcasting, which involves the short-term, high-resolution prediction of rainfall, plays a crucial role in various real-world applications. In recent years, researchers have increasingly utilized deep learning-based methods in precipita
Externí odkaz:
https://doaj.org/article/084ab0923ca54129bb052c458a2c9a57
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-20 (2023)
Abstract Apart from nodes and links, for many networked systems, we have access to data on paths, i.e., collections of temporally ordered variable-length node sequences that are constrained by the system’s topology. Understanding the patterns in su
Externí odkaz:
https://doaj.org/article/3953d41fb2e247478feaf133a2d2811f
Akademický článek
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Autor:
Minhad Khairun Nisa’, Farayez Araf, Reaz Mamun Bin Ibne, Bhuiyan Mohammad Arif Sobhan, Samdin Siti Balqis, Miraz Mahdi H.
Publikováno v:
Measurement Science Review, Vol 23, Iss 2, Pp 86-91 (2023)
Dementia is not a specific disease, but a general term for age-related decline or loss of memory, cognitive abilities including problem solving and decision-making, and one’s own language, which significantly interfere with daily life. Researchers
Externí odkaz:
https://doaj.org/article/7d3c9cb602674e6fa08f010c84f84441
Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation
Publikováno v:
He jishu, Vol 47, Iss 3, Pp 030102-030102 (2024)
BackgroundFull-field transmission X-ray microscopy (TXM)–X-ray absorption near-edge structural (XANES) (TXM-XANES) is an imaging method that combines TXM and XANES. By measuring the TXM images of multiple energy points before and after the K-edge o
Externí odkaz:
https://doaj.org/article/4a723c84413644279718d9771e4d6c00
Publikováno v:
IEEE Open Journal of Industry Applications, Vol 4, Pp 227-237 (2023)
This article develops a recurrent neural network (RNN) with an encoder–decoder structure to predict the driving sequence of SiC MOSFET active gate drivers (AGDs). With a set of switching targets as the input, the predictor generates an optimal acti
Externí odkaz:
https://doaj.org/article/cf9bfeaa1390429abe816230a22a0e27
Publikováno v:
IEEE Access, Vol 11, Pp 53249-53261 (2023)
Precipitation nowcasting is very important for the sectors which critically depend on timely and accurate weather information. One of the challenges of precipitation nowcasting is radar echo extrapolation which predicts the radar echo images accurate
Externí odkaz:
https://doaj.org/article/c673c99a7e4946c094d87db186f4a4a9