Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

“…The experiments compared the precision, recall, f1-score, and accuracy metrics for the cases of using early and late multimodal data fusion and found that the early information fusion multimodal network achieved higher classification accuracy results. …”
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Data fusion for cooperative detection in cognitive radio system by LIN Wei1, WU Jie1, ZHANG Qin-yu1, ZHANG Nai-tong2

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Data fusion protocol with source security for sensor networks by ZHANG Peng, YU Jian-ping, LIU Hong-wei

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New data fusion model of intrusion detection——IDSFP by TIAN Jun-feng, ZHAO Wei-dong, DU Rui-zhong, CAI Hong-yun

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Methane Extraction and Resource Utilization Based on Multisource Data Fusion by Wensheng Chen, Zhongliang Lu

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Deep learning for multi-modal data fusion in IoT applications by Anila Saghir, Anum Akbar, Asma Zafar, Asif Hassan

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Online Bayesian Data Fusion in Environment Monitoring Sensor Networks by Yang Dingcheng, Wang Zhenghai, Xiao Lin, Zhang Tiankui

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An Adaptive PHD Filter for Multitarget Tracking with Multispectral Data Fusion by Guoliang Zhang, Chunling Yang, Yan Zhang

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An Online Multisensor Data Fusion Framework for Radar Emitter Classification by Dongqing Zhou, Xing Wang, Siyi Cheng, Xi Zhang

“…In this paper, a novel online multisensor data fusion framework is proposed for radar emitter classification under the background of network centric warfare. …”
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DNS log analysis system based on big data fusion algorithm by Ming LIAO, Ming CHEN, Ji ZHOU, Xiaohua XIANG, Fang LI, Yefen JIAO

“…The existing problems of big data analysis of DNS logs in the current industry were summarized,and a DNS log analysis system based on big data fusion algorithm was designed.The system integrates six information databases,such as record information database,website database,domain name database,IP address database,CNAME domain name database and security information database.It has powerful log analysis performance,comprehensive content analysis,and classification.With high analysis depth and flexible report customization function,it can provide decision-making basis for telecom operators to improve the management efficiency,optimize network security and enhance the network rate.…”
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House Price Prediction: A Multi-Source Data Fusion Perspective by Yaping Zhao, Jichang Zhao, Edmund Y. Lam

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Fault Diagnosis of Wind Turbine Gearbox Based on Multisensor Data Fusion by Ruimin Zhang, Tao Zhou

“…In order to improve the operation efficiency of wind turbine gearbox and reduce the operation and maintenance cost of wind farm, a fault diagnosis system for wind turbine gearbox based on multisensor data fusion was proposed. First, the different time-domain statistical characteristic parameters of the original vibration signal were calculated, and the information fusion of the feature level and the data level was carried out by means of parallel superposition to obtain the fused data set. …”
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Data Fusion for Electromagnetic and Electrical Resistive Tomography Based on Maximum Likelihood by Sven Nordebo, Mats Gustafsson, Therese Sjöden, Francesco Soldovieri

“…This paper presents a maximum likelihood based approach to data fusion for electromagnetic (EM) and electrical resistive (ER) tomography. …”
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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

“…This work focused on the needs of multi-party privacy computing for cross-system exchanges in ubiquitous sharing environments, taking the security sharing and controlled dissemination of private data in multi-party data fusion applications as the starting point, and provided reviews of existing relevant work from the perspectives of multi-party privacy computing, multi-party privacy information sharing control, and multi-party data collaborative secure computing. …”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patiño Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

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Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems by DING Kai, JIANG Chaoyue, TAO Ming, XIE Renping

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A data fusion based approach for damage detection in linear systems by Ernesto Grande, Maura Imbimbo

“…In particular, starting from classical indicators based on the change of the flexibility matrix and on the change of the modal strain energy, the proposed approaches consider two data fusion procedures both based on the Dempster-Shafer theory. …”
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POI Data Fusion Method Based on Multi-Feature Matching and Optimization by Yue Wang, Cailin Li, Hongjun Zhang, Baoyun Guo, Xianlong Wei, Zhao Hai

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Spatial-Temporal Analysis of Crash Severity: Multisource Data Fusion Approach by Amirhossein Taheri, Arash Rasaizadi, Seyedehsan Seyedabrishami

“…Spatial-temporal analysis of crash data with a data fusion approach has been conducted to prepare a multisource data set with a wide spectrum of independent variables to acquire reliable results using logit models. …”
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Traffic Flow Parameters Collection under Variable Illumination Based on Data Fusion by Shaojie Jin, Ying Gao, Shoucai Jing, Fei Hui, Xiangmo Zhao, Jianzhen Liu

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