An optimized public opinion communication system in social media networks based on K-means cluster analysis by Mingchao Qi, JunQiang Zhao, Yan Feng

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An intelligent algorithm to fast and accurately detect chaotic correlation dimension by Mengyan Shen, Miaomiao Ma, Zhicheng Su, Xuejun Zhang

“…Therefore, it is necessary to propose a fast and intelligent algorithm to solve the above problem. This study implies the distinct windows tracking technique and fuzzy C‐means clustering algorithm to accurately identify the scaling range and estimate the correlation dimension values. …”
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Unveiling the Technological Dynamics of Banking Systems: A Network Analysis of Chinese and Global Banking Innovation by Chuhan Zhang, Xiuting Li

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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…In this case, unsupervised learning is first performed using the k-means method to form clusters. For this, it is also proposed to use studied the feature space dimensionality reduction algorithm to visualize and estimate the clustering accuracy. …”
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Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization by C. Jaspin Jeba Sheela, G. Suganthi

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Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm by Milla Juutinen, Jari Ruokolainen, Juha Puustinen, Anu Holm, Mark van Gils, Antti Vehkaoja

“…The goal of this study was to validate mean amplitude deviation for detecting gait in Parkinson’s disease patients and healthy controls. …”
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Optimal design of Halbach magnetized magnetic screw for wave energy converters based on KELM network optimized by weighted mean of vectors algorithm by Qiongfang Zhang, Haitao Yu, Yulei Liu, Qinghai Qin, Jiahui Zhang

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Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms by Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood

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Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection by Xinyi Chai, Zijun Wu, Wei Li, Haowei Fan, Xinyang Sun, Jing Xu

“…In this paper, a novel image segmentation algorithm is proposed, combining the K-means algorithm with a hybridized IGK-means. …”
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A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

“…The conventional least-mean-square (LMS) algorithm has a poor performance when the input autocorrelation&#x2019;s eigenvalue spread is quite large. …”
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Low complexity hybrid iterative algorithm based signal detection in massive MIMO system by Shufeng ZHAO, Bin SHEN, Furong YANG

“…Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K ²).…”
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High-Throughput Satellite Precoding Algorithm Based on Non-Ideal Channel State Information by Yingzhe DOU, Guanchang XUE, Mingchuan YANG

“…In order to suppress co-channel interference caused by frequency reuse, high-throughput satellite communication systems have begun to study ground interference suppression technologies, including multi-user detection technology applied in the reverse link and precoding technology applied in the forward link.A forward link model was established that took into account the eff ects of free space loss, rain attenuation, and beam gain.Based on the non-ideal channel state information model, the minimum mean square error precoding algorithm was improved, and an improved minimum mean square error precoding algorithm suitable for non-ideal channel state information was proposed.The satellite precoding algorithm considered adopted a more accurate channel model with irrational channel information, and incorporated the non-ideal channel state information into the precoding algorithm and eliminated it.The simulation results showed that the high-throughput satellite precoding algorithm could signifi cantly improved the throughput of the system under the condition of non-ideal channel state information, and also improved the robustness of the system.…”
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SIMULATION OF RANDOM ERRORS IN IONOSPHERIC PARAMETERS ESTIMATION OBTAINED BY MEANS OF INCOHERENT SCATTERING by Aleksandr Viktorovich Bogomaz

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Variable step-size LMS algorithm with hybrid weight coefficients based on the Rayleigh distribution curve by CHEN Dongwei, LIU Weidong, ZHANG Mingyi, JIN Mengzhe, FANG Qingyuan

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Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

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Performance Analysis of the MUSIC Algorithm in the Presence of Correlated Noise by Hyeong Woo Ham, Hyuk-In Kwon, Joon-Ho Lee

“…In the conventional MUSIC algorithm performance analysis, noise is assumed to be uncorrelated. …”
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Perfect space-time block codes and high performance decoding algorithm by HU Jun-feng1, YANG Yuan1, ZHANG Hai-lin1

Subjects: “…multi-input multi-output system;perfect space-time block codes;minimum mean-square error decision feedback equalizer;Fano algorithm…”
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Perfect space-time block codes and high performance decoding algorithm by HU Jun-feng1, YANG Yuan1, ZHANG Hai-lin1

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Universal method for opnimal design main structural assemblies of steel structures stationary conveyor with hanging ribbon by Boslovyak P.V., Zueva E.P.

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Experimental studies of radar image construction algorithms for propellers and measurement method for repetition frequencies of the blades by S. R. Heister, T. T. Nguyen

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