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Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives.

Comprehensive Reviews in Food Science and Food Safety
In recent years, the food industry has shown a growing interest in the development of rapid and nondestructive analytical methods. However, the utilization of a solitary nondestructive detection technique offers only a constrained extent of physical or ...
Minqiang Guo   +5 more
semanticscholar   +1 more source

Human Activity Recognition With Accelerometer and Gyroscope: A Data Fusion Approach

IEEE Sensors Journal, 2021
This paper compares the three levels of data fusion with the goal of determining the optimal level of data fusion for multi-sensor human activity data.
Michael L. Webber, R. Rojas
semanticscholar   +1 more source

Data fusion with estimated weights

Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02, 2002
This paper proposes an adptive approach for data fusion of information retrieval systems, which exploits estimated performances of all component input systems without relevance judgement or training. The estimation is conducted prior to the fusion but uses the same data as fusion applies.
Shengli Wu 0001, Fabio Crestani
openaire   +2 more sources

Effective multi-sensor data fusion for chatter detection in milling process.

ISA transactions, 2021
This paper introduces a newly developed multi-sensor data fusion for the milling chatter detection with a cheap and easy implementation compared with traditional chatter detection schemes.
M. Tran, Meng-Kun Liu, M. Elsisi
semanticscholar   +1 more source

Hyperspectral imaging in combination with data fusion for rapid evaluation of tilapia fillet freshness.

Food Chemistry, 2021
The potential of two different hyperspectral imaging systems (visible near infrared spectroscopy (Vis-NIR) and NIR) was investigated to determine TVB-N contents in tilapia fillets during cold storage.
Hai-Dong Yu   +6 more
semanticscholar   +1 more source

Sensor data fusion

Journal of Intelligent & Robotic Systems, 1988
This paper reviews some knowledge representation approaches devoted to the sensor fusion problem, as encountered whenever images, signals, text must be combined to provide the input to a controller or to an inference procedure. The basic steps involved in the derivation of the knowledge representation scheme, are: (A) locate a representation ...
openaire   +1 more source

Complex Evidence Theory for Multisource Data Fusion

Chinese Journal of Information Fusion
Data fusion is a prevalent technique for assembling imperfect raw data coming from multiple sources to capture reliable and accurate information. Dempster–Shafer evidence theory is one of useful methodologies in the fusion of uncertain multisource ...
Fuyuan Xiao   +3 more
semanticscholar   +1 more source

Joint Manifolds for Data Fusion

IEEE Transactions on Image Processing, 2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage points and using multiple modalities. In many scenarios, these networks acquire large amounts of very high-dimensional data.
Mark A. Davenport   +3 more
openaire   +2 more sources

Artificial Intelligence and Data Fusion at the Edge

IEEE Aerospace and Electronic Systems Magazine, 2021
Artificial intelligence (AI), owing to recent breakthroughs in deep learning, has revolutionized applications and services in almost all technology domains including aerospace.
Arslan Munir   +4 more
semanticscholar   +1 more source

XML Data Fusion

2010
Ensuring high quality data when collecting and integrating information from heterogeneous sources into a data warehouse is a challenging problem. In this paper, we propose a model for XML data fusion, which allows the integrator to define data cleaning rules for solving value conflicts that may have been detected during the integration process.
Frantchesco Cecchin   +2 more
openaire   +1 more source

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