Results 71 to 80 of about 509,921 (183)

Multi-modal Embedding Fusion-based Recommender

, 2020
Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms.
Dabrowski, Jacek, Daniluk, Michal, Michalowski, Andrzej, Pastuszak, Michal, Rychalska, Barbara, Sysko-Romanczuk, Sylwia, Wieczorek, Mikolaj, Wroblewska, Anna   +7 more
core  

Thermal Error Prediction for Vertical Machining Centers Using Decision-Level Fusion of Multi-Source Heterogeneous Information

Machines
To address the limitations in predictive capabilities of thermal error models built from single-source, single-structure data, this paper proposes a thermal error prediction model based on decision-level fusion of multi-source heterogeneous information ...
Yue Han, Xiaolei Deng, Junjian Zheng, Xiaoliang Lin, Xuanyi Wang, Yong Chen   +5 more
doaj   +1 more source

Extended Object Tracking: Introduction, Overview and Applications

, 2017
This article provides an elaborate overview of current research in extended object tracking. We provide a clear definition of the extended object tracking problem and discuss its delimitation to other types of object tracking.
Baum, Marcus, Granstrom, Karl, Reuter, Stephan   +2 more
core  

Research on multi-source heterogeneous data fusion method of substation based on cloud edge collaboration and AI technology

Discover Applied Sciences
As a key critical of the power system, a substantial number of intelligent devices are deployed in the substation. The data generated by these devices exhibit exponential growth, and the data types are diverse and complex, encompassing both structured ...
Pei Sun, Bo Zhao, Xiang Li
doaj   +1 more source

Multi-Source Fusion Deformation-Monitoring Accuracy Calibration Method Based on a Normal Distribution Transform–Convolutional Neural Network–Self Attention Network

Photonics
In multi-source fusion deformation-monitoring methods that utilize fiber Bragg grating (FBG) data and other data types, the lack of FBG constraint points in edge regions often results in inaccuracies in fusion results, thereby impacting the overall ...
Xuezhu Lin, Bo Zhang, Lili Guo, Wentao Zhang, Jing Sun, Yue Liu, Shihan Chao   +6 more
doaj   +1 more source

Innovative reconstruction and evaluation of forest refinement datasets by combining multi-source data: A case study of Guangdong Province

Ecological Indicators
The acquisition and monitoring of forest cover data are crucial for ecological protection, resource management, and climate change research. However, relying on a single data source provides limited data accuracy and does not adequately capture the ...
Yicheng Li, Zhuo Wu, Linglong Zhu, Xiaocheng Huang, Jianhong Mo   +4 more
doaj   +1 more source

Fusion of multi source data for atmospheric corrosion evaluation using sensors and image recognition

npj Materials Degradation
s Detecting corrosion in Q235 steel is crucial for ensuring the safety and maintenance of industrial facilities. In this study, we present a novel approach that combines image recognition techniques with corrosion sensor data to improve both the accuracy
Weitong Wu, Di Xu, Liangan Liu, Bingqin Wang, Xuequn Cheng, Xin Zhang, Xiaogang Li   +6 more
doaj   +1 more source

BAYESIAN STATISTICAL FUSION RELIABILITY EVALUATION MODEL OF MULTI-SOURCE HETEROGENEOUS DATA

Jixie qiangdu, 2022
In order to solve the reliability evaluation of small samples for the high reliability, long-life products and to improve the accuracy of reliability evaluation, the Bayesian reliability evaluation model of multiple information source data fusion was ...
TANG Li, TANG JiaYin, CHENG ShiJuan
doaj  

A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization

Algorithms
In the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review
Binglin Liu, Qian Li, Zhihua Zheng, Yanjia Huang, Shuguang Deng, Qiongxiu Huang, Weijiang Liu   +6 more
doaj   +1 more source

Multi-source data joint processing framework for DEM calibration and fusion

International Journal of Applied Earth Observations and Geoinformation
High-accuracy digital elevation models (DEMs) are essential for remote sensing and geospatial analysis, yet integrating multi-source data over large and complex terrains remains challenging.
Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen   +7 more
doaj   +1 more source