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Application Research and Improvement of Weighted Information Fusion Algorithm and Kalman Filtering Fusion Algorithm in Multi-sensor Data Fusion Technology
In order to improve the accuracy and reliability of the collected data, the weighted information fusion algorithm and the Kalman filtering fusion...
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Some Considerations in Multi-Source Data Fusion
We introduce the data fusion problem and carefully distinguish it from a number of closely problems. Some of the considerations and knowledge that...
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Level 3 Data Fusion
In [1], we discussed the role and implementation of level 2 data fusion – estimation of relationships and situations – in a tactical application. The...
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Robust Environmental Perception of Multi-sensor Data Fusion
In this chapter, the multi-sensor data fusion based neural networks are adopted to environmental perception fault tolerance algorithms. Multi-sensor...
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Multimodal Data Fusion Architectures in Audiovisual Speech Recognition
In the big data era, we are facing a diversity of datasets from different sources in different domains that describe a single life event. These...
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Multimodal Data Fusion
In the era of big data, a large number of multimodal data are constantly generated and accumulated. In the practical application analysis of...
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A multi-source credit data fusion approach based on federated distillation learning
Data imbalance and privacy disclosure shortcomings have become the main problems in the process of multi-source credit data fusion, the former causes...
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Data-Model Fusion RUL Prediction
This chapter mainly concentrates on data-model fusion RUL prediction methods of mechanical systems. In industries, it is generally feasible to obtain...
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Application of Data Fusion Algorithms in the Data Processing of Intelligent Greenhouses
Greenhouses can ensure the normal growth of crops in extreme environments. With the popularization of social intelligence, how to build an efficient...
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Data Fusion Algorithm Based on Classification Adaptive Estimation Weighted Fusion in WSN
Special medical supplies such as blood and vaccines have strict temperature requirements in medical cold storage. In order to improve the stability...
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Extreme learning machine optimized by artificial cell swarm optimization for the data fusion modal in WSNs
Wireless Sensor Networks (WSNs) have gained substantial prominence in various applications, like healthcare, and surveillance due to its data...
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Hybrid physics data-driven model-based fusion framework for machining tool wear prediction
Accurate tool wear prediction is of great significance to improve production efficiency, ensure product quality and reduce machining cost. This paper...
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An efficient multi-source information fusion approach for dynamic interval-valued data via fuzzy approximate conditional entropy
Information fusion enables the integration and transformation of complimentary data from different sources, providing a unified representation for...
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Machine Learning Techniques in Data Fusion: A Review
In data fusion, various data sources are unified to get more data than a single source. Due to the increasing amount of real-time data and increasing...
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Parameter Estimation of a Valve-Controlled Cylinder System Model Based on Bench Test and Operating Data Fusion
The accurate estimation of parameters is the premise for establishing a high-fidelity simulation model of a valve-controlled cylinder system. Bench...
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Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion
Industrial process data have the characteristics of heterogeneity, dimensional inconsistency and multi time scales, which increase the difficulty of...
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Traffic Operation Status Research Based on Multi-source Data Fusion
At present, modern technologies such as big data, cloud computing and vehicle-road collaboration are develo** rapidly, and the existing traffic...
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Multimodal data fusion for cancer biomarker discovery with deep learning
Technological advances have made it possible to study a patient from multiple angles with high-dimensional, high-throughput multiscale biomedical...
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Enhancement of Track Damage Identification by Data Fusion of Vibration-Based Image Representation
In this paper, the vibration-based image representation and data fusion demonstrates distinctive benefit in feature extraction, yielding superior...
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Drift Error Calibration Method Based on Multi-MEMS Gyroscope Data Fusion
This article is concerned with the method of calibrating the temperature drift and random drift of Micro-Electro-Mechanical System (MEMS) gyroscope...
