Estimation of Forest Leaf Area Index Based on GEE Data Fusion Method by Xinyi Liu, Li He, Zhengwei He, Yun Wei

Subjects: “…Data fusion method…”
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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

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Data Fusion Based Hybrid Approach for the Estimation of Urban Arterial Travel Time by S. P. Anusha, R. A. Anand, L. Vanajakshi

“…Three approaches are presented and compared in this study: (1) a combination of input-output analysis for mid-blocks and Highway Capacity Manual (HCM) based delay calculation at signals named as base method, (2) data fusion approach which employs Kalman filtering technique (nonhybrid method), and (3) a hybrid data fusion HCM (hybrid DF-HCM) method. …”
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RELIABILITY ANALYSIS OF DATA FUSION BASED ON A MIXED BASIS DISTRIBUTION METHOD by ZHANG XiaoJie, TANG JiaYin

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Structure-free and dynamic-adaptive data fusion algorithm for wireless sensor networks by Jun YUE, Wei-ming ZHANG, Wei-dong XIAO, Da-quan TANG, Jiu-yang TANG

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Design of home fire detection system based on wireless multi-sensor data fusion by Wenbin CHENG, Lei DU, Yiyi LIU

Subjects: “…multi-sensor data fusion…”
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Two-Stage Degradation Assessment and Prediction Method for Aircraft Engine Based on Data Fusion by Hongsheng Yan, Hongfu Zuo, Jianzhong Sun, Di Zhou, Han Wang

“…In order to realize the performance degradation assessment and remaining useful life (RUL) prediction of aeroengine, this paper proposes a two-stage assessment and prediction method based on data fusion. First, the standard deviation merged by multiple selected features is used as the health indicator to characterize the engine performance. …”
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The telecommunications customer service model based on big data and data fusion strategy research by Yongmei Gao, Chunhua Ju, Fuguang Bao

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CONDITION ASSESSMENT OF THIN-WALLED ROBOT BEARING BASED ON MULITI-SENSOR DATA FUSION by LIU Yang, XIE TanCheng, XU YanWei, WANG Bing, LI BanHu

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Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots by Wolmar Araujo-Neto, Leonardo Rocha Olivi, Daniel Khede Dourado Villa, Mário Sarcinelli-Filho

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Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration by Wu Jiazhe, Dai Xinrui, Su Yancheng, Zheng Xiangtian, Bushra Ghaffar, Rabiya Nasir, Ahsan Jamil, Zeeshan Zafar, Mohammad Suhail Meer, M. Abdullah-Al-Wadud, Rahila Naseer, Hesham El-Askary

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Time-selective data fusion for in-network processing in ad hoc wireless sensor networks by Jaanus Kaugerand, Johannes Ehala, Leo Mõtus, Jürgo-Sören Preden

“…This article introduces a time-selective strategy for enhancing temporal consistency of input data for multi-sensor data fusion for in-network data processing in ad hoc wireless sensor networks. …”
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Low power data fusion for sensor node constrained by real time management in WSN by WANG Qin, LI Chong, WAN Ya-dong, LI Lei

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Multi-sensor data fusion method for water quality evaluation based on interval evidence theory by Jian ZHOU, Chen-hao MA, Lin-feng LIU, Li-juan SUN, Fu XIAO

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Automatic Tracking Method of Basketball Flight Trajectory Based on Data Fusion and Sparse Representation Model by Cuiping Cao, Hai Yu, Yun Liu

“…The appearance model of flying basketball obtained by the traditional basketball flight trajectory tracking method is not accurate, which leads the anti-interference performance of trajectory tracking not ideal. Based on data fusion and sparse representation model, a new automatic trajectory tracking method is proposed. …”
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Spatiotemporal air quality prediction using stochastic advection–diffusion model for multimodal data fusion by Byeongseong Choi, Michelle A Hummel

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Study of forecasting urban private car volumes based on multi-source heterogeneous data fusion by Chenxi LIU, Dong WANG, Huiling CHEN, Renfa LI

“…By effectively capturing the spatio-temporal characteristics of urban private car travel, a multi-source heterogeneous data fusion model for private car volume prediction was proposed.Firstly, private car trajectory and area-of-interest data were integrated.Secondly, the spatio-temporal correlations between private car travel and urban areas were modeled through multi-view spatio-temporal graphs, the multi-graph convolution-attention network (MGC-AN) was proposed to extract the spatio-temporal characteristics of private car travel.Finally, the spatio-temporal characteristics and external characteristics such as weather were integrated for joint prediction.Experiments were conducted on real datasets, which were collected in Changsha and Shenzhen.The experimental results show that, compared with the existing prediction model, the root mean square error of the MGC-AN is reduced 11.3%～20.3%, and the average absolute percentage error is reduced 10.8%～36.1%.…”
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Seismic Performance Analysis of Steel Truss Coal Conveying Trestle Based on Multisensor Data Fusion by Bo-yu Yao

“…Then, based on multisensor data fusion, the dynamic characteristics of long-span coal conveying trestle are measured. …”
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Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion by Xin Kang Li, Li Jun Tang, Ze Ying Li, Dian Qiu, Zhuo Ling Yang, Xiao Yi Zhang, Xiang-Zhi Zhang, Jing Jing Guo, Bao Qiong Li

“…Four machine learning methods are employed to establish discrimination models based on GC and MIR data, with two mid-level data fusion strategies to combine the data. The results show that data fusion significantly improves Chenpi origin discrimination. …”
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Construction of a Multimodal Neuroimaging Data Fusion System and Evaluation of Mental Fatigue Using Nonlinear Analysis by Rui Chen, Zhenzhong Li, Yi Lai

“…Second, the eigenspace maximal information canonical correlation analysis (emiCCA) is introduced to construct the multimodal neuroimaging data fusion system. Finally, how the brain function network is constructed is introduced. …”
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