Zobrazeno 1 - 10
of 6 727
pro vyhledávání: '"Series data"'
Autor:
Liu, Zengkun, Hui, Justine
Publikováno v:
Sensor Review, 2024, Vol. 44, Issue 5, pp. 563-574.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SR-03-2024-0183
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In order to augment the efficacy of the intelligent evaluation model for assessing the suitability of ice and snow tourism, this study refines the model by incorporating the Long Short-Term Memory (LSTM) network within the framework of the I
Externí odkaz:
https://doaj.org/article/730446ce4872468db8c5647099a04374
Autor:
黄文琦(HUANG Wenqi), 梁凌宇(LIANG Lingyu), 王鑫(WANG Xin), 赵翔宇(ZHAO Xiangyu), 宗珂(ZONG Ke), 孙凌云(SUN Lingyun)
Publikováno v:
Zhejiang Daxue xuebao. Lixue ban, Vol 51, Iss 4, Pp 483-491 (2024)
Accurate and effective load forecasting is very important for real-time operation and dispatching of power systems. In this paper, a prediction model that incorporates variable selection and sparse Transformer is proposed. Static and temporal variabl
Externí odkaz:
https://doaj.org/article/a02dc40040054c6fb9569a2fbf8bc7cd
Autor:
Shixin GONG
Publikováno v:
Meitan kexue jishu, Vol 52, Iss S1, Pp 1-12 (2024)
Accurate prediction of hydraulic support load plays an important role in improving the adaptability of support and the stability of surrounding rock control, where high-quality and large-scale time series data and effective prediction methods are nee
Externí odkaz:
https://doaj.org/article/d90d8b575fa542ac8cad47755cec8eea
Publikováno v:
Natural Hazards Research, Vol 4, Iss 2, Pp 194-220 (2024)
The global community is continuously working to minimize the impact of disasters through various actions, including earth surveying. For example, flood-prone areas must be identified appropriately, predicted, understood, and socialized. In that case,
Externí odkaz:
https://doaj.org/article/a05e7e8ed1d141a29b2a49279c7978b3
Publikováno v:
Stats, Vol 7, Iss 2, Pp 462-480 (2024)
Change-point detection is a challenging problem that has a number of applications across various real-world domains. The primary objective of CPD is to identify specific time points where the underlying system undergoes transitions between different
Externí odkaz:
https://doaj.org/article/c5f36e9cbb954f5ab7b9c5134c852e0c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 4989-5006 (2024)
Due to irregular sampling or device failure, the data collected from sensor network has missing value, that is, missing time-series data occurs. To address this issue, many methods have been proposed to impute random or non-random missing data. Howev
Externí odkaz:
https://doaj.org/article/d4bd62fec1864f429ea1498affcca648
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13547-13557 (2024)
As a crucial economic crop, the health status of cotton directly impacts farmers' income and the national economy. Therefore, timely and accurate detection and identification of cotton diseases and pests are of significant importance, aiding in reduc
Externí odkaz:
https://doaj.org/article/0cab973a25bf4fd4b74ed71eb846d800
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102762- (2024)
We present a data visualization approach that allows users to interactively analyse sequential movement patterns and automatically extract rules for marine animal behaviour. This enhances the ability of oceanic experts to understand marine ecosystems
Externí odkaz:
https://doaj.org/article/af40136f404f40059b12cb86f240e378
Autor:
Philip, Babitha, AlJassmi, Hamad
Publikováno v:
Construction Innovation, 2023, Vol. 24, Issue 1, pp. 317-340.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CI-09-2022-0233