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Decision Fusion System for Bolted Joint Monitoring
Published 2015-01-01“…Then, a developed decision fusion system is presented. Finally, three fusion algorithms, which consist of majority voting, Bayesian belief, and multiagent method, are adopted for comparison in a real-world monitoring experiment for the large aviation aluminum plate. …”
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Quest markup for developing FAIR questionnaire modules for epidemiologic studies
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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method
Published 2023-08-01“…Furthermore, a classification decision tree is established using the chi-square automatic interactive detection decision tree method, in conjunction with gas well productivity data, to understand the impact of geological and engineering factors on gas well productivity in fractured wells. …”
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Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): A mixed method study
Published 2024-10-01“…This manuscript presents the research protocol for a field study to independently evaluate the accuracy, acceptability, implementation barriers, users’ experience and willingness to pay, cost-effectiveness and value of EchoGo Pro.Methods and analysis The ‘Evaluating AI-driven stress echocardiography analysis system’ (EASE) study is a mixed-method evaluation, which will be conducted in five work packages (WPs). …”
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Construction and validation of an overconfidence scale in investment decisions
Published 2025-01-01“…The research involved 380 Brazilian participants and employed confirmatory factor analysis and standard multivariate validation methods. The scale, based on a theoretical framework of the three types of overconfidence, consisted of 30 questions (10 for each type) designed to measure the degree of overconfidence in investment decision-making. …”
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Application of dynamic systems modeling approach to rank optimal urban waste management strategies using SWOT method
Published 2024-06-01“…The reasons for using the dynamic systems approach for this research can also be enumerated as follows: 1) an appropriate approach in determining and predicting the effects of factors affecting waste production, 2) helping to understand the relationships between variables and examining the behaviour and structure of systems, incredibly complex systems (creating a conceptual model), 3) a flexible approach with the ability to analyze quantitatively and qualitatively, 4) the ability to review the system in the future under different scenarios and policies of decision makers and 5) dynamic system models are considered as simulation models; therefore, they have the advantages of using the simulation method over the analysis methods. …”
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Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics
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A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics
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Correction of requests in the information system decision support
Published 2023-06-01“…The problem of mathematical modeling and algorithmization of the processes of correction of requests in the system of information support for decision-making is being solved. At the same time, three main goals are pursued: building of a generalized information retrieval model, development of algorithms for pre-search query correction and development of algorithms for post-search query correction.Methods. …”
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Identification of Slip Surfaces Using Vertical Electrical Sounding Method in Desa Seumadam for The Study of Landslide-Prone Areas
Published 2024-06-01“…This study explores the application of the Vertical Electrical Sounding (VES) method for identifying potential slip surfaces in the Desa Seumadam region, a known landslide-prone area. …”
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Few-shot hotel industry site selection prediction method based on meta learning algorithms and transportation accessibility
Published 2025-05-01“…Therefore, this paper takes the star-rated hotels in the six districts of Tianjin as the research subject and proposes a few-shot hotel location prediction method based on meta-learning algorithms and transportation accessibility. …”
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