Results 181 to 190 of about 6,701,261 (238)

Multi-source data fusion for economic data analysis

Neural Computing and Applications, 2020
Economic data include data of various types and characteristics such as macro-data, meso-data, and micro-data. The source of economic data can be the data related to economy held by the National Bureau of statistics and a various software. These multi-source and heterogeneous data have important value for economic analysis and forecasting. Taking into
Menggang Li, Fang Wang, Xiaojun Jia, Wenrui Li, Ting Li, Guangwei Rui   +5 more
openaire   +1 more source

Deep learning model based on urban multi-source data for predicting heavy metals (Cu, Zn, Ni, Cr) in industrial sewer networks.

Journal of Hazardous Materials, 2022
The high concentrations of heavy metals in municipal industrial sewer networks will seriously impact the microorganisms of the activated sludge in the wastewater treatment plant (WWTP), thus deteriorating the effluent quality and destroying the stability
Yiqi Jiang, Chaolin Li, Hongxing Song, Wenhui Wang   +3 more
semanticscholar   +1 more source

3D Heritage Reconstruction Through HBIM and Multi-Source Data Fusion: Geometric Change Analysis Across Decades

Applied Sciences
The reconstruction of historic buildings requires the integration of diverse data sources, both geometric and non-geometric. This study presents a multi-source data analysis methodology for heritage reconstruction using 3D modeling and Historic Building ...
P. Klapa, Andrzej Żygadło, Massimiliano Pepe   +2 more
semanticscholar   +1 more source

Implicit modelling and dynamic update of tunnel unfavourable geology based on multi-source data fusion using support vector machine

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2023
Three-dimensional unfavourable geology models with complex structures and various attributes have become crucial for optimal design and risk control during tunnel construction. In practical applications, it is necessary to integrate multi-source advanced
Binru Yang, Yuling Ding, Qing Zhu, Liguo Zhang, Haoyu Wu, Yongxin Guo, Mingwei Liu, Wei Wang   +7 more
semanticscholar   +1 more source

RMDF-CV: A Reliable Multi-Source Data Fusion Scheme With Cross Validation for Quality Service Construction in Mobile Crowd Sensing

IEEE Transactions on Services Computing
Mobile Crowd Sensing is a prevalent and efficient paradigm for multi-source data collection, where Multi-source Data Fusion (MDF) plays a crucial role in constructing quality data collection services.
Kejia Fan, Jialin Guo, Runsheng Li, Yuanye Li, Anfeng Liu, Jianheng Tang, Tianrou Wang, Mianxiong Dong, H. Song   +8 more
semanticscholar   +1 more source

Intra-Hour Photovoltaic Generation Forecasting Based on Multi-Source Data and Deep Learning Methods

IEEE Transactions on Sustainable Energy, 2022
Global issues pertaining to climate change have necessitated the rapid deployment of new energy sources, such as photovoltaic (PV) generation. In smart grids, accurate forecasting is essential to ensure the reliability and economy of the power system ...
Tiechui Yao, Jue Wang, Haoyan Wu, Pei Zhang, Shigang Li, Ke Xu, Xiaoyan Liu, Xuebin Chi   +7 more
semanticscholar   +1 more source

A new belief divergence measure for Dempster-Shafer theory based on belief and plausibility function and its application in multi-source data fusion

Engineering applications of artificial intelligence, 2021
Dempster–Shafer theory (DST) has extensive and important applications in information fusion. However, when the evidences are highly conflicting with each other, the Dempster’s combination rule often leads to a series of counter-intuitive results. In this
Hongfei Wang, Xinyang Deng, Wen Jiang, Jie Geng   +3 more
semanticscholar   +1 more source

Efficient multi-source data transfer in data grids

Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006
As the number of data-intensive applications increases in various domains, scientists need to save, retrieve, and analyze increasingly large datasets. The huge volume of data and the long latency of data transfer on the Internet make it very difficult to ensure high-performance access to data grids.
null Chien-Min Wang, null Chun-Chen Hsu, null Hsi-Min Chen, null Jan-Jan Wu   +3 more
openaire   +1 more source

Real-time driving risk prediction using a self-attention-based bidirectional long short-term memory network based on multi-source data.

Accident Analysis and Prevention
Early warning of driving risks can effectively prevent collisions. However, numerous studies that predicted driving risks have suffered from the use of single data sources, insufficiently advanced models, and lack of time window analysis.
Zhuopeng Xie, Yongfeng Ma, Ziyu Zhang, Shuyan Chen   +3 more
semanticscholar   +1 more source

Multi-Source Entity Resolution for Genealogical Data

2015
In this chapter we study the application of existing entity resolution (ER) techniques on a real-world multi-source genealogical dataset. Our goal is to identify all persons involved in various notary acts and link them to their birth, marriage and death certificates.
Efremova, J., Ranjbar-Sahraei, Bijan, Rahmani, H., Oliehoek, F., Calders, T., Tuyls, K., Weiss, G.   +6 more
openaire   +2 more sources