Zobrazeno 1 - 10
of 288
pro vyhledávání: '"LSTM (Long Short Term Memory)"'
Autor:
Olena Tolstoluzka, Denys Telezhenko
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 3, Pp 27-37 (2024)
The subject of this paper is the optimization of resource management in virtual distributed systems (VDS) via the application of machine learning algorithms, specifically Long Short-Term Memory (LSTM) networks. The aim is to develop an effective mode
Externí odkaz:
https://doaj.org/article/fdbe0335954f41e2ab3ff8d49835b062
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 6, Pp 81-90 (2023)
With the development of artificial intelligence technology,intelligent aircraft engines have gradually become a hot spot in the field of aviation today. Traditional aero-engine control heavily relies on the engine model,and the theoretical modeling a
Externí odkaz:
https://doaj.org/article/d92df50540894e51a0cd778712d3667c
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 1, Pp 343-363 (2023)
Abstract Anomalies in oil-producing wells can have detrimental financial implications, leading to production disruptions and increased maintenance costs. Machine learning techniques offer a promising solution for detecting and preventing such anomali
Externí odkaz:
https://doaj.org/article/7d44d819597d4de7ad5d731a7a1a9157
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2023)
Soil temperature (ST) is a crucial parameter in Earth system science. Accurate ST predictions provide invaluable insights; however, the “black box” nature of many deep learning approaches limits their interpretability. In this study, we present t
Externí odkaz:
https://doaj.org/article/e39d4526b88f4ef09db693216f305db2
Autor:
Yucheng Huang, Zishuo Huang, Qingren Yang, Haojie Jin, Tingke Xu, Yating Fu, Yue Zhu, Xiangyang Zhang, Chun Chen
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
BackgroundMild cognitive impairment (MCI) is a transitory yet reversible stage of dementia. Systematic, scientific and population-wide early screening system for MCI is lacking. This study aimed to construct prediction models using longitudinal data
Externí odkaz:
https://doaj.org/article/104acc85f3ba46a2b57c94db10a541f0
Autor:
Khairunnisa Hasikin, Khin Wee Lai, Suresh Chandra Satapathy, Kadir Sabanci, Muhammet Fatih Aslan
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/27d2865198974e869d33536a1893e8d1
Autor:
Hung-Chin Jang, Che-An Chen
Publikováno v:
Engineering Proceedings, Vol 55, Iss 1, p 86 (2024)
For smart cities, the issue of how to solve traffic chaos has always attracted public attention. Many studies have proposed various solutions for traffic flow prediction, such as ARIMA, ANN, and SVM. With the breakthrough of deep learning technology,
Externí odkaz:
https://doaj.org/article/beb5f61d3d264c659ca887316ec9fa25
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10647 (2023)
Recently, various application fields utilizing Wi-Fi fingerprint data have been under research. However, fingerprint data collected from a specific location does not include relevant information, such as continuity. Therefore, most indoor positioning
Externí odkaz:
https://doaj.org/article/dd84b34ec2b245d7950a7f1bbde85f07
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 1, Pp 71-78 (2022)
At present, resonance demodulation and data envelopment analysis, etc are usually used for health evaluation and remaining life prediction of bearings, but there are some problems such as difficulty in extracting health degree, single fault predictio
Externí odkaz:
https://doaj.org/article/ea584dceae8c46b8ace60eba40afb464