The main crux of this paper is to introduce a new integral transform called the multidimensional Hankel–Gabor transform and to give some new results related to this transform as Plancherel’s, Parseval’s, inversion ...
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An imbalanced dataset often challenges machine learning, particularly classification methods. Underrepresented minority classes can result in biased and inaccurate models. The Synthetic Minority Over-Sampling Techniqu...
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An imbalanced dataset often challenges machine learning, particularly classification methods. Underrepresented minority classes can result in biased and inaccurate models. The Synthetic Minority Over-Sampling Technique (SMOTE) was developed to address the problem of imbalanced data. Over time, several weaknesses of the SMOTE method have been identified in generating synthetic minority class data, such as overlapping, noise, and small disjuncts. However, these studies generally focus on only one of SMOTE’s weaknesses: noise or overlapping. Therefore, this study addresses both issues simultaneously by tackling noise and overlapping in SMOTE-generated data. This study proposes a combined approach of filtering, clustering, and distance modification to reduce noise and overlapping produced by SMOTE. Filtering removes minority class data (noise) located in majority class regions, with the k-nn method applied for filtering. The use of Noise Reduction (NR), which removes data that is considered noise before applying SMOTE, has a positive impact in overcoming data imbalance. Clustering establishes decision boundaries by partitioning data into clusters, allowing SMOTE with modified distance metrics to generate minority class data within each cluster. This SMOTE clustering and distance modification approach aims to minimize overlap in synthetic minority data that could introduce noise. The proposed method is called “NR-Clustering SMOTE,” which has several stages in balancing data: (1) filtering by removing minority classes close to majority classes (data noise) using the k-nn method;(2) clustering data using K-means aims to establish decision boundaries by partitioning data into several clusters;(3) applying SMOTE oversampling with Manhattan distance within each cluster. Test results indicate that the proposed NR-Clustering SMOTE method achieves the best performance across all evaluation metrics for classification methods such as Random Forest, SVM, and Naїve Bayes, compared t
This paper presents the design of Linear Quadratic Regulator and Pole Placement controllers with integral action using MATLAB and Simulink for controlling the temperature field in the secondary cooling zone of a conti...
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This article discusses the use of color and color space analysis in the space of 3D reconstruction of a real object. The text focuses on the area of point clouds as a carrier of color information in 3D space. This iss...
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In these days, the automotive industry is providing a proper environment to develop and try new solutions for the electric traction systems used in the electric vehicles (EVs). One of the ideas which arose in the last...
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This paper presents a solution to a problem that Khan Steel Company in Afghanistan encountered in their induction furnace. The motivation for deploying induction heating technology in the industry is outlined, includi...
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One of the most influential factors in space development is cosmic radiation and its detrimental effects on microelectronics and life outside of the protection of Earth's atmosphere. While most primary cosmic rays...
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The increasing number of photovoltaic systems integrated into the low voltage electric distribution network has raised the concerns of the Distribution Network Operators in the last period. Due to the various technica...
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The Dual Excitation Synchronous Machine, or so-called Hybrid Excitation Synchronous Machine (HESM), used to power traction vehicles are described in this work in general terms. The paper's second section compares ...
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When implementing the microgrid, electric energy consumption, energy storage, generation resources and plug-in electric vehicles should be managed and optimized in a way that lowers energy use, boosts efficiency, boos...
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