An approach to study of methods for urban analysis and urban fabric renewal in observation of a city as a multiple fractal structure

Urban forms and processes can be observed as fractal structures since in their seemingly chaotic development and complexity it can be noticed an internal order and regularity, which could be quantified and described by the methods of fractal analysis.With determination of fractal dimension it is possible to quantify the level of irregularity, the c

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A HYBRID FILTER AND WRAPPER FEATURE SELECTION APPROACH FOR DETECTING CONTAMINATION IN DRINKING WATER MANAGEMENT SYSTEM

Feature selection is an important task in predictive models which helps to identify the irrelevant features in the high - dimensional dataset.In this case of water contamination detection dataset, the standard wrapper algorithm alone cannot be applied because of the complexity.To overcome this computational complexity problem and making it lighter,

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Predicting Student Dropout and Academic Success

Higher education institutions record a significant amount of data about their students, representing a considerable potential to generate information, knowledge, and monitoring.Both school dropout and educational failure in higher education are an obstacle to economic growth, employment, competitiveness, and productivity, directly impacting the liv

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