State estimation for stochastic time‐varying multisensor systems with multiplicative noises: Centralized and decentralized data fusion
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Control"
DOI: 10.1002/asjc.2103
Abstract: In this paper, the state estimation problems, including filtering and one‐step prediction, are solved for uncertain stochastic time‐varying multisensor systems by using centralized and decentralized data fusion methods. Uncertainties are considered in all parts of… read more here.
Keywords: fusion; decentralized data; centralized decentralized; state ... See more keywords
Estimating viral prevalence with data fusion for adaptive two‐phase pooled sampling
Sign Up to like & getrecommendations! Published in 2021 at "Ecology and Evolution"
DOI: 10.1002/ece3.8107
Abstract: Abstract The COVID‐19 pandemic has highlighted the importance of efficient sampling strategies and statistical methods for monitoring infection prevalence, both in humans and in reservoir hosts. Pooled testing can be an efficient tool for learning… read more here.
Keywords: data fusion; phase; prevalence; second phase ... See more keywords
Rapid detection of hepatitis B virus DNA level based on interval‐point data fusion of infrared spectra
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200251
Abstract: Hepatitis B is an infectious disease cause by the hepatitis B virus (HBV). In recent years, HBV‐DNA level clinically gets more attention for its detailed information than other serological markers. Unfortunately, common clinical method for… read more here.
Keywords: dna level; data fusion; point data; level ... See more keywords
Implementation of Data Fusion to increase the efficiency of classification of pre-cancerous skin states using in vivo bimodal spectroscopic technique.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biophotonics"
DOI: 10.1002/jbio.202300035
Abstract: This study presents the results of the classification of diffuse reflectance (DR) spectra and multi-excitation autofluorescence (AF) spectra that were collected in vivo from precancerous and benign skin lesions at three different source detector separation… read more here.
Keywords: classification; data fusion; increase efficiency; skin ... See more keywords
Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15903
Abstract: PURPOSE To develop a novel multimodal data fusion model by incorporating computed tomography (CT) images and clinical variables based on deep learning for predicting the invasiveness risk of stage I lung adenocarcinoma that manifests as… read more here.
Keywords: fusion; fusion model; clinical variables; multimodal data ... See more keywords
Drug-Induced Sedation Endoscopy (DISE) DATA FUSION system: clinical feasibility study
Sign Up to like & getrecommendations! Published in 2017 at "European Archives of Oto-Rhino-Laryngology"
DOI: 10.1007/s00405-017-4765-7
Abstract: Drug-induced sleep endoscopy (DISE) is a diagnostic technique for 3D dynamic anatomical visualisation of upper airway obstruction during sedated sleep. There is a lack of standardised procedure and objective measurement associated with information capture, information… read more here.
Keywords: data fusion; fusion system; system; dise ... See more keywords
Bayesian maximum entropy and data fusion for processing qualitative data: theory and application for crowdsourced cropland occurrences in Ethiopia
Sign Up to like & getrecommendations! Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1426-8
Abstract: AbstractCategorical data play an important role in a wide variety of spatial applications, while modeling and predicting this type of statistical variable has proved to be complex in many cases. Among other possible approaches, the… read more here.
Keywords: data fusion; methodology; information; maximum entropy ... See more keywords
Data fusion in automotive applications
Sign Up to like & getrecommendations! Published in 2017 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-017-1008-2
Abstract: AbstractConnected vehicles are capable of collecting, through their embedded sensors, and transmitting huge amounts of data at very high frequencies. Leveraging this data can be valuable for many entities: automobile manufacturer, vehicles owners, third parties,… read more here.
Keywords: data fusion; big data; automotive applications; fusion ... See more keywords
Targets Classification Based on Multi-sensor Data Fusion and Supervised Learning for Surveillance Application
Sign Up to like & getrecommendations! Published in 2019 at "Wireless Personal Communications"
DOI: 10.1007/s11277-018-6114-6
Abstract: In surveillance application scenarios, like border security and area monitoring, potential targets to be detected may be either an unarmed person, a soldier carrying ferrous weapon or a vehicle. Detection is the first phase of… read more here.
Keywords: multi sensor; data fusion; fusion; surveillance application ... See more keywords
Multi-sensor Optimal Data Fusion for INS/GNSS/CNS Integration Based on Unscented Kalman Filter
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-016-0801-4
Abstract: This paper presents an unscented Kalman filter (UKF) based multi-sensor optimal data fusion methodology for INS/GNSS/CNS (inertial navigation system/global navigation satellite system/celestial navigation system) integration based on nonlinear system model. This methodology is of two-level… read more here.
Keywords: data fusion; gnss cns; methodology; optimal data ... See more keywords
Classification of Ball Bearing Faults Using Vibro-Acoustic Sensor Data Fusion
Sign Up to like & getrecommendations! Published in 2019 at "Experimental Techniques"
DOI: 10.1007/s40799-019-00324-0
Abstract: This paper presents the novel technique for fault diagnosis of bearing by fusion of two different sensors: Vibration based and acoustic emission-based sensor. The diagnosis process involves the following steps: Data Acquisition and signal processing,… read more here.
Keywords: data fusion; classification ball; classification; fusion ... See more keywords