According to previous studies, the most effective, stable, and explicit numerical methods to deal with problems of heat transfer in building walls are the two recently published approaches, which are the modified Dufo...
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The Double Track Program prepares high school students for careers or entrepreneurship through skills training, aiming to reduce post-graduation unemployment in East Java. It offers seven skill areas: multimedia, culi...
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Intelligent Transportation Systems rely on data processing methods in real-time conditions. There are many methods to process the data. However, the progress of hardware computational power forces us to reassess the e...
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Imbalanced multiclass datasets pose challenges for machine learning *** often contain minority classes that are important for accurate ***,when the data is sparsely distributed and overlaps with data points fromother ...
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Imbalanced multiclass datasets pose challenges for machine learning *** often contain minority classes that are important for accurate ***,when the data is sparsely distributed and overlaps with data points fromother classes,it introduces *** a result,existing resamplingmethods may fail to preserve the original data patterns,further disrupting data quality and reducingmodel *** paper introduces Neighbor Displacement-based Enhanced Synthetic Oversampling(NDESO),a hybridmethod that integrates a data displacement strategy with a resampling technique to achieve data *** begins by computing the average distance of noisy data points to their neighbors and adjusting their positions toward the center before applying random *** evaluations compare 14 alternatives on nine classifiers across synthetic and 20 real-world datasetswith varying imbalance *** evaluation was structured into two distinct test ***,the effects of k-neighbor variations and distance metrics are evaluated,followed by a comparison of resampled data distributions against alternatives,and finally,determining the most suitable oversampling technique for data ***,the overall performance of the NDESO algorithm was assessed,focusing on G-mean and statistical *** results demonstrate that our method is robust to a wide range of variations in these parameters and the overall performance achieves an average G-mean score of 0.90,which is among the ***,it attains the lowest mean rank of 2.88,indicating statistically significant improvements over existing *** advantage underscores its potential for effectively handling data imbalance in practical scenarios.
In this work, we propose a concentrator lens - antenna arrangement, potentially suitable for infrared sensing and energy harvesting rectenna systems. The structure consists of a pixel antenna, self-adapting for the di...
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This investigation is focused on the effect of inclination angle with respect to the horizontal of a hydrophobic silicone insulation, on the rate of its creepage distance's wetting by natural rain. The constellati...
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A high reception of THz waves is important in the design of an antenna-coupled microbolometer, which is indicated by the ability to detect THz waves effectively from all directions. In this study, we implement the mea...
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This paper presents the results of comparison of the proposed unique algorithm for object alignment in 3D space with the conventional approach based on Principal Component Analysis. The proposed algorithm is based on ...
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Nowadays, the issue of efficient heating of enclosed spaces where people carry out different activities has become a priority. This means, on the one hand, using the cheapest and least polluting thermal energy and, on...
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作者:
Pekarcik, P.Chovancova, E.Kuchcakova, T.University of Košice
Faculty of Electrical Engineering and Informatics Technical Faculty of Electrical Engineering and Informatics Technical Department of Computers and Informatics Košice Slovakia
Information technologies are one of the most prospective fields at universities. The number of young people interested in this science is increasing from year to year. One of the essential parts of IT is security and ...
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