Identify urban building functions with multisource data: a case study in Guangzhou, China
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2046756
Abstract: Abstract Building function type is an important parameter for urban planning and disaster management. However, existing identification methods do not always correctly recognize all building functions because of missing point of interest (POI) data in… read more here.
Keywords: function; multisource data; building; case study ... See more keywords
A Spatio-Temporal Structured LSTM Model for Short-Term Prediction of Origin-Destination Matrix in Rail Transit With Multisource Data
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DOI: 10.1109/access.2020.2991982
Abstract: Passenger assignment of rail transit has recently attracted increasing research interest due to its potential applications in large-scale intelligent transportation systems. In the rail transit system, the foundation of passenger assignment is passengers’ origin and… read more here.
Keywords: term; short term; prediction; rail transit ... See more keywords
HTGCE: An Graph-Based and Classifier-Oriented Dimension Reduction Method for Multisource Heterogeneous Feature Tensors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3186320
Abstract: Considering the multiple observations from satellites with different types of sensors, the available object data are regarded as different combinations of multisource heterogeneous data. To achieve accurate object recognition, the dimension reduction (DR) technology is… read more here.
Keywords: multisource heterogeneous; multisource; dimension reduction; multisource data ... See more keywords
Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3118994
Abstract: A milling cutter is one of the most important parts of machine tools. Its working status significantly influences the precision of workpiece. Due to the complex wear mechanism, the single sensor may be difficult to… read more here.
Keywords: useful life; remaining useful; multisource data; life prediction ... See more keywords
Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3262599
Abstract: Domain adaption (DA) is a challenging task that integrates knowledge from source domain (SD) to perform data analysis for target domain. Most of the existing DA approaches only focus on single-source-single-target setting. In contrast, multisource… read more here.
Keywords: cross scene; classification; multisource data; domain ... See more keywords
Special Object Recognition Based on Sparse Representation in Multisource Data Fusion Samples
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/4138746
Abstract: Wireless sensor networks (WSNs) suffer from limited power and large amounts of redundant data. This paper describes a multisource data fusion method for WSNs that can be combined with the characteristics of a profile detection… read more here.
Keywords: data fusion; multisource data; recognition; fusion samples ... See more keywords
A Survey of Methods and Technologies for Congestion Estimation Based on Multisource Data Fusion
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11052306
Abstract: Traffic congestion occurs when traffic demand is greater than the available network capacity. It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and longer vehicular queueing. Congestion can also impose a negative… read more here.
Keywords: data fusion; congestion; estimation; multisource data ... See more keywords
A Method for Constructing Geographical Knowledge Graph from Multisource Data
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su131910602
Abstract: Global problems all occur at a particular location on or near the Earth’s surface. Sitting at the junction of artificial intelligence (AI) and big data, knowledge graphs (KGs) organize, interlink, and create semantic knowledge, thus… read more here.
Keywords: multisource data; knowledge; method; knowledge graph ... See more keywords