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Search results for: DATA CLUSTERING ANALYSIS
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Annals of Functional Analysis
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Nonlinear Analysis Forum
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Journal of Mathematical Analysis
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Foreign Policy Analysis
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SPECTROSCOPY AND SPECTRAL ANALYSIS
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Analysis of Verbal Behavior
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Analysis and Mathematical Physics
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Journal of Analysis and Testing
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Journal of Complex Analysis
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Communications on Stochastic Analysis
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Critical Housing Analysis
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Metallography Microstructure and Analysis
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Review of Economic Analysis
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Communications in Mathematical Analysis
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Global and Stochastic Analysis
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Journal of Analysis and Applications
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GEOMETRIC AND FUNCTIONAL ANALYSIS
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Microbial Risk Analysis
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Transactional Analysis Journal
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Numerical Analysis and Applications
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Health Risk Analysis
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Methods and Applications of Analysis
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Risk and Decision Analysis
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JOURNAL OF MULTIVARIATE ANALYSIS
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JOURNAL OF CONVEX ANALYSIS
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JOURNAL OF GEOMETRIC ANALYSIS
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JOURNAL OF PRODUCTIVITY ANALYSIS
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Results in Nonlinear Analysis
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Applied Economic Analysis
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MEDICAL IMAGE ANALYSIS
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Constructive Mathematical Analysis
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European Policy Analysis
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Mathematical Modelling and Analysis
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Analysis in Theory and Applications
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Communications in Analysis and Mechanics
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JOURNAL OF FUNCTIONAL ANALYSIS
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Journal of Tourism Analysis
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PATTERN ANALYSIS AND APPLICATIONS
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Spatial Economic Analysis
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SURFACE AND INTERFACE ANALYSIS
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STOCHASTIC ANALYSIS AND APPLICATIONS
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SET-VALUED ANALYSIS
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Three-dimensional mapping for data collected using variable stereo baseline
PublicationThe paper describes a system of 3D mapping of data collected with due regard for variable baseline. This solution constitute an extension to a VisRobot sub-system developed as a subsystem, necessary for implementing the generic idea of using mobile robots to explore an indoor static environment. This subsystem is to acquire stereo images, calculate the depth in the images and construct the sought 3D map. Stereo images are obtained...
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On the Handling of Outliers in the GNSS Time Series by Means of the Noise and Probability Analysis
PublicationThe data pre-analysis plays a significant role in the noise determination. The most important issue is to find an optimum criterion for outliers removal, since their existence can affect any further analysis. The noises in the GNSS time series are characterized by spectral index and amplitudes that can be determined with a few different methods. In this research, the Maximum Likelihood Estimation (MLE) was used. The noise amplitudes...
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E-marketing and trend analysis 2024, ID, sem. 6
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Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects
PublicationWe present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...
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Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects
PublicationWe present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...
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Analysis of radiometric signal in sedimentating suspension flow in open channel
PublicationThe article discusses issues related to the estimation of the sedimentating solid particles average flow velocity in an open channel using radiometric methods. Due to the composition of the compound, which formed water and diatomite, received data have a very weak signal to noise ratio. In the process analysis the known determining of the solid phase transportation time delay the classical cross-correlation function is the most...
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A model, design, and implementation of an efficient multithreaded workflow execution engine with data streaming, caching, and storage constraints
PublicationThe paper proposes a model, design, and implementation of an efficient multithreaded engine for execution of distributed service-based workflows with data streaming defined on a per task basis. The implementation takes into account capacity constraints of the servers on which services are installed and the workflow data footprint if needed. Furthermore, it also considers storage space of the workflow execution engine and its cost....
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublicationIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...