Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…The proposed KM-DBSCAN algorithm, which combines K-means and DBSCAN, is used for customer segmentation. …”
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Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms by Dongning WANG, Yueyang HUANG, Yuanbo SHI

“…Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. …”
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Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…This research aims to examine the results of simulation studies by comparing methods for identifying several outliers using statistical approaches and data mining algorithm approaches in various predetermined data scenarios. …”
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An Algorithm for Correcting Levels of Useful Signals on Interpretation of Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…Examples of the algorithm’s operation on real eddy-current data are given.…”
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Density Peaks Clustering Algorithm Based on Neighborhood Radius and Membership Degree by Fuxiang Li, Tingting Jiang, Jia Wei, Shu Li, Yunxiao Shan

“…Low-density points that remain unassigned undergo secondary clustering using the DPC algorithm. The proposed approach is evaluated on eight synthetic datasets and eleven real-world datasets, with comparisons to DPC-KNN, DPC, K-means, and DBSCAN. …”
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Modeling Parking Occupancy Using Algorithm of 3D Visibility Network by Matej Babic, Branko Ster, Ladislav Hluchy, Giuliana Baiamonte, Michele Cali

“…In the present research work, a new approach for the 3D visibility network algorithm has been developed, showing how graph theory applied to wireless sensor networks (WSNs) enables technological development for new solutions in areas such as public infrastructure. …”
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Quantum approximate optimization algorithms for maximum cut on low-girth graphs by Tongyang Li, Yuexin Su, Ziyi Yang, Shengyu Zhang

“…In quantum computing, Farhi, Gutmann, and Goldstone proposed the quantum approximate optimization algorithm (QAOA) for solving the MaxCut problem. Its guarantee on the cut fraction (the fraction of edges in the output cut over all edges) was mainly studied for high-girth graphs, i.e., graphs with only long cycles. …”
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Parallel Independent Probability Fully Weighted Association Rule Mining Algorithm by LI Cheng yan, LI Xin yu, ZHANG Lei, WANG Guang ze

“…Association rule mining is mainly used to discover knowledge hidden in the data. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

“…An investigation into the environmental burden of seven different types of ML algorithms was conducted and the popular neural network algorithm had the highest environmental burden.…”
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Algorithm for parametric identification of the dc electric drive using the inverse model by N. A. Malev, O. V. Pogoditsky, M. R. Chilyaeva, A. R. Imamiev

“…The need arises to create such a control system that will allow for the identification of the parameters of the EDCS by introducing the appropriate identification algorithms into its structure.METHODS. When solving the problem, a search-free gradient method of adaptive identification was used, implemented by means of the MatLab software environment.RESULTS. …”
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Algorithm for parametric identification of the DC electric drive using the inverse model by N. A. Malev, O. V. Pogoditsky, M. R. Chilyaeva, A. R. Imamiev

“…The need arises to create such a control system that will allow for the identification of the parameters of the EDCS by introducing the appropriate identification algorithms into its structure.METHODS. When solving the problem, a search-free gradient method of adaptive identification was used, implemented by means of the MatLab software environment.RESULTS. …”
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Algorithmic support of the adaptive system of controlled flight into terrain avoidance (CFITA) by A. N. Akimov, V. A. Voloshin, A. A. Supryga

“…The article considers the restrictions algorithms for the trajectory parameters of aircraft motion. …”
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Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm by Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng

“…To address this issue, in this paper we systematically evaluate the influence of common data augmentation algorithms on emotion recognition from three dimensions: (1) we design subjective auditory experiments to intuitively demonstrate the impact of augmentation algorithms on the emotional expression of speech; (2) we jointly extract multi-dimensional features from spectrograms based on the Librosa library and analyze the impact of data augmentation algorithms on the spectral features of speech signals through heatmap visualization; and (3) we objectively evaluate the recognition performance of the model by means of indicators such as cross-entropy loss and introduce statistical significance analysis to verify the effectiveness of the augmentation algorithms. …”
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Audio Watermarking Algorithm Against Speed Attack based on Amplitude Rearrangement by WANG Xin, HUANG Ying, NIU Baoning, WU Shiqiang, LAN Fangpeng, GUAN Hu

“…[Purposes] Digital audio watermarking technology refers to the technique of embedding a watermark signal with specific meaning into the original audio signal, which can be extracted when needed. …”
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Dynamic Demodulation Algorithm for Bio-radar Sensors Based on Range Tapper by Changyu LIU, Hao ZHANG, Fanglin GENG, Zhongrui BAI, Peng WANG, Zhenfeng LI, Lidong DU, Xianxiang CHEN, Zhen FANG

“…We tested the algorithm performance in simulations and experiments for the cross range bin cases. …”
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The Fast Discrete Tchebichef Transform Algorithms for Short-Length Input Sequences by Aleksandr Cariow, Marina Polyakova

“…The review of the articles related to fast DTT algorithms has shown that such algorithms are mainly developed for input signal lengths 4 and 8. …”
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Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms by Bo Liu, Haijia Wen, Mingrui Di, Junhao Huang, Mingyong Liao, Jingyuan Yu, Yutao Xiang

“…The hazard zoning map identifies high-risk areas mainly around fault lines and near the epicenter. …”
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Optimization of the Offshore Wind Turbines Layout Using Cuckoo Search Algorithm by Ibrahim Abdulwahab, Solomon Andrew Onazi, Gideon Rimamfate, Akande Abdulwasiu, Abubakar Umar, N.A Iliyasu

“…One way to address this challenge is through wind turbine arrangements and their scalability. Developing effective means of optimizing wind farm configurations is a major concern for energy communities. …”
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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…The study considered data from 245 nematode genera and 44 environmental parameters from 100 stations. Data was analyzed by means of a hybrid machine learning (ML) approach, which combines unsupervised and supervised methods. …”
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Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy by Mauricio Moyano, Keiny Meza-Vasquez, Gonzalo Tello-Valenzuela, Nicolle Ojeda-Ortega, Carolina Lagos, Guillermo Cabrera-Guerrero

“…We apply our proposed algorithms to prostate cancer cases, achieving highly competitive results for both algorithms. …”
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