Zobrazeno 1 - 10
of 2 327
pro vyhledávání: '"Data reconstruction"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than nonlinear methods, they can provide a li
Externí odkaz:
https://doaj.org/article/9ba31c2f9b6f42629b9b654516c40219
Autor:
Fei Tan, Yanbin Jiang, Qian Lei, Hongtao Zhang, Lijun Zhang, Zhu Xiao, Guofu Xu, Yuyuan Zhao, Zhou Li
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 1326-1336 (2024)
Complex mapping relationships between high-entropy alloy compositions and performances struggle to precisely elucidate by traditional machine learning models, hindering the accurate and efficient design of high-performance alloys. In this work, a nov
Externí odkaz:
https://doaj.org/article/a6a9b478557945d5b7dac0aea97f9906
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
NDVI (Normalized Difference Vegetation Index) is an essential tool for climate and environmental monitoring, but it is often contaminated by clouds and unfavorable atmospheric conditions. In this study, we designed a new, simple yet effective method
Externí odkaz:
https://doaj.org/article/0f0baa38bca848bca5637ecf412e3e1c
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 3 (2024)
Comprehensive climate time series data is indispensable for monitoring the impacts of climate change. However, observational datasets often suffer from data gaps within their time series, necessitating imputation to ensure dataset integrity for furth
Externí odkaz:
https://doaj.org/article/74c02ae0b80c4c098f2ac18b2131b64a
Autor:
Yundong GUO
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 2, Pp 149-158 (2024)
Due to limited acquisition conditions in the field, the seismic data is usually incomplete, which affects the following seismic data processing and seismic interpretation. To solve this problem, the seismic data needs reconstruction. The projection o
Externí odkaz:
https://doaj.org/article/96b91f26be49426397447d914283cf9b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16289-16305 (2024)
The satellite remote sensing sea surface temperature (SST) plays a crucial role in global climate change and ocean–atmosphere interactions. With a notably severe issue of missing data due to clouds and rainfall, data reconstruction methods have bee
Externí odkaz:
https://doaj.org/article/967b0a53b27246afbab6d1ecdcc5f651
Publikováno v:
IEEE Access, Vol 12, Pp 98816-98834 (2024)
In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. Autoencoders, known for their adaptability in unsupervised learning, offer a strategic solution to t
Externí odkaz:
https://doaj.org/article/be0f5d7c7ee747a185e3ccdde244313e
Publikováno v:
IEEE Access, Vol 12, Pp 93033-93050 (2024)
Wireless Sensor Network (WSN) based Internet of Things (IoT) solutions are extensively deployed to monitor environmental parameters and physical conditions in various domains. However, wireless sensor nodes have limited energy sources and in many cas
Externí odkaz:
https://doaj.org/article/a95d3ddfcd5f4923810a5e0c9ec719f5
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 52, Iss , Pp 101701- (2024)
Study area: The Manas River Basin (84°01′−86°32′E, 42°27′−45°21′N) on the northern slopes of the Tianshan Mountains and the Kaidu River Basin (82°18′−85°57′E, 40°54′−44°30′N) on the southern slopes. Study focus: Tradit
Externí odkaz:
https://doaj.org/article/221d9444623348c29b55a2592d27ea40