AutoRepair: an automatic repairing approach over multi-source data
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1284-9
Abstract: Truth discovery methods and rule-based data repairing methods are two classic lines of approaches to improve data quality in the field of database. Truth discovery methods resolve the multi-source conflicts for the same entity by… read more here.
Keywords: source; multi source; source data; truth discovery ... See more keywords
Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2020.107993
Abstract: Abstract Assimilating multi-source data into crop models is a promising way to improve crop growth simulations and yield estimations over a large area. Most of previous studies have mainly assimilated one of the observed/retrieved variables… read more here.
Keywords: assimilating crop; crop model; multi source; source data ... See more keywords
PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis
Sign Up to like & getrecommendations! Published in 2018 at "Catena"
DOI: 10.1016/j.catena.2017.09.010
Abstract: PEATMAP is a GIS shapefile dataset shows a distribution of peatlands that covers the entire world. It was produced by combining the most high quality available peatland map from a wide variety of sources that describe peatland… read more here.
Keywords: peatland; source data; spatial resolution; peatmap refining ... See more keywords
Did Zipf's Law hold for Chinese cities and why? Evidence from multi-source data
Sign Up to like & getrecommendations! Published in 2021 at "Land Use Policy"
DOI: 10.1016/j.landusepol.2021.105460
Abstract: Abstract The New Form of Urbanization was proposed in 2012, emphasizing the development of small and medium-sized cities and towns. Analyzing the city-size distribution is significant in various studies, such as urban sustainable development, urban… read more here.
Keywords: multi source; zipf law; source data;
Developing a rapid method for 3-dimensional urban morphology extraction using open-source data
Sign Up to like & getrecommendations! Published in 2020 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101962
Abstract: Abstract Available and accessible three-dimensional (3D) urban morphology data have become essential for extensive academic research on built-up environments and urban climates. A rapid and consistent methodology for extracting urban morphology information is urgently needed… read more here.
Keywords: method; source data; morphology; urban morphology ... See more keywords
Securing China’s rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-64269-0
Abstract: Ensuring the security of China’s rice harvest is imperative for sustainable food production. The existing study addresses a critical need by employing a comprehensive approach that integrates multi-source data, including climate, remote sensing, soil properties… read more here.
Keywords: rice harvest; source data; rice; china rice ... See more keywords
A paradigm shift driven by multi-source data, mechanistic insights, adaptive machine intelligence, and multi-objective optimization for composting intelligent automation applications
Sign Up to like & getrecommendations! Published in 2025 at "Critical Reviews in Environmental Science and Technology"
DOI: 10.1080/10643389.2025.2557306
Abstract: Abstract Driven by the dual carbon goals, composting technology is undergoing a transformative shift toward multifunctionality, precision, and intelligentization. By leveraging the data-driven modeling advantages of machine learning (ML), composting technology aims to enhance organic… read more here.
Keywords: multi objective; objective optimization; optimization; intelligence ... See more keywords
A bibliometric review of perceptions of the built environment supported by multi-source data
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Asian Architecture and Building Engineering"
DOI: 10.1080/13467581.2024.2349746
Abstract: ABSTRACT Information and digital technologies have revolutionized research methodologies for measuring people’s perceptions of built environments. Vast amounts of urban data can now be collected, providing more accurate and intuitive presentation and analysis tools. This… read more here.
Keywords: environment; built environment; perceptions built; research ... See more keywords
Monitoring tropical cyclone using multi-source data and deep learning: a review
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Image and Data Fusion"
DOI: 10.1080/19479832.2024.2411677
Abstract: ABSTRACT Tropical cyclones (TCs) are highly destructive weather systems, typically accompanied by heavy rainfall, extreme winds and storm surges, significantly impacting residents’ safety and property, and economic development. Accurate and efficient TC monitoring methods are… read more here.
Keywords: deep learning; review; source; monitoring ... See more keywords
A multi-source data fusion driven power field effect transistor health state assessment and remaining useful life prediction method
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad6f36
Abstract: The metal oxide semiconductor field effect transistor (MOSFET) is subjected to various stresses due to the external and internal operating environments, leading to ageing and failure of the device. With multiple degradation mechanisms, a single… read more here.
Keywords: method; state; health state; health ... See more keywords
An unsupervised learning approach to deblend seismic data from denser shot coverage surveys
Sign Up to like & getrecommendations! Published in 2022 at "Geophysical Journal International"
DOI: 10.1093/gji/ggac222
Abstract: The simultaneous source data obtained by simultaneous source acquisition contain crosstalk noise and cannot be directly used in conventional data processing procedures. Therefore, it is necessary to deblend the blended wavefield to obtain the conventionally… read more here.
Keywords: source data; denser shot; simultaneous source; source ... See more keywords