3D WSN clustering routing algorithm based on IHBA optimized fuzzy C-means by Jing YANG, Biyang XU, Weizheng LI, Wei LI, Zhaoqiang ZHU, Tao QIN

Subjects: “…3D wireless sensor network;clustering routing;honey badger algorithm;fuzzy C-means;energy consumption balance…”
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Symbol timing recovery algorithm based on ordered statistic of maximum mean power timing for WBAN by HIYu C, HENLan C, VChao L

“…The symbol timing algorithm based on maximum mean power timing is independent of carrier phase offset,and has the property of capturing timing information fast,which meets the demand of wireless body area networks (WBAN).According to IEEE 802.15.6 standard,the ordered statistic of maximum mean power timing was used to reduce the computational complexity in the symbol timing process.The theoretical analysis and simulation results shows that the proposed algorithm can achieve symbol timing within 32 symbols and reduce the computational complexity by ninety percent at most compared to the original maximum mean power algorithm.The fast synchronization and car-rier-independence property of the proposed algorithm can also make room for carrier-offset recovery and frame synchro-nization.…”
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A Distributed Weighted Possibilistic c-Means Algorithm for Clustering Incomplete Big Sensor Data by Qingchen Zhang, Zhikui Chen

“…Possibilistic c-means clustering algorithm (PCM) has emerged as an important technique for pattern recognition and data analysis. …”
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Method for Solving Large Linear Algebraic Equation Systems Based on Kaczmarz–K-Means Algorithm by Hao Li

“…In response to the problems in solving large-scale linear algebraic equations, this study adopts two block discrimination criteria, the Euclidean clustering and the cosine clustering, to decompose them into row vectors and construct the K-means clustering algorithm. Based on the uniformly distributed block Kaczmarz algorithm, the weight coefficients are integrated into the probability criterion to construct a new and efficient weight probability. …”
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Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions by Novia Hasdyna, Rozzi Kesuma Dinata, Balqis Yafis

Subjects: “…k-means algorithm…”
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Detection of <i>Aspergillus flavus</i> in Figs by Means of Hyperspectral Images and Deep Learning Algorithms by Cristian Cruz-Carrasco, Josefa Díaz-Álvarez, Francisco Chávez de la O, Abel Sánchez-Venegas, Juan Villegas Cortez

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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

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Novel algorithm of maintaining packet order in two-stage switch by ZHANG Xiao-ning, XU Du, LI Le-min

“…However, in its basic fabric, the load-balanced switch may mis-sequence the packets. A new algorithm called FFS （full frame stuff） was proposed in this paper, which maintains packet order in the two-stage load-balanced switch and has excellent switching performance （in terms of mean delay and throughput）.This algorithm is distributed and each port operates independently.…”
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Research on Gearbox Fault Diagnosis based on Improved LMD Algorithm by Haibo Xing, Yue Chen, Jinghao Li

“…Aiming at the fault diagnosis of gearbox，an Improved Local Mean Decomposition （ILMD） algorithm is proposed and applied to the extraction of fault features of gearbox. …”
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Diversity and multiplexing based on GMD algorithm by HE Zhong-tang1, AI Ju-mei2, HU Luo-quan1, ZHANG Li-jun1

Subjects: “…multiple input multiple output;geometric mean decomposition algorithm;outage probability;sigular value decomposition;diversity and multiplexing…”
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The portfolio of trading systems as a means of diversification in the securities market by K. .. Ladygin

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LMS Algorithm Step Size Adjustment for Fast Convergence by Dariusz BISMOR

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Multi-UAV Delivery Path Optimization Based on Fuzzy C-Means Clustering Algorithm Based on Annealing Genetic Algorithm and Improved Hopfield Neural Network by Song Liu, Di Liu, Meilong Le

“…Compared with the genetic algorithm and ant colony algorithm, its iteration times, path length, and delivery time are reduced to varying degrees. …”
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A Novel Linguistic Relational Fuzzy C-Means by Peerawich Phaknonkul, Sansanee Auephanwiriyakul, Nipon Theera-Umpon

Subjects: “…Relational fuzzy C-means…”
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Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

“…In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.…”
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Application of Hough transform in contact wire wear detection algorithm by NIE Xiao, WANG Feng, WANG Tao, CHEN Xieqi

“…For the low accuracy and poor robustness of the current contact wire wear detection system, a contact wire wear detection algorithm based on Hough transform was presented. Firstly, the profile data collected by the structured light device was preprocessed with mean shift algorithm and cubic spline interpolation; secondly, the center of the contact wire was determined according to Hough transform; finally, the wear based on the geometric characteristics of contact wire was calculated . …”
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AN IMPROVED FUZZY K-MEANS CLUSTERING ALGORITHM BASED ON WEIGHT ENTROPY MEASUREMENT AND CALINSKI-HARABASZ INDEX by Nguyễn Như Đồng, Phan Thành Huấn

“…In this paper, we proposed an improved clustering algorithm combined of both fuzzy k-means using weight Entropy and Calinski-Harabasz index. …”
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Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination by Guo-sheng RUI, Jun MIAO, Yang ZHANG, Lin WANG

Subjects: “…adaptive filters;convex combination;proportionate NLMS algorithm;maximum mean square deviation…”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

Subjects: “…k-means algorithms…”
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Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm by Yifei Shi, Yunfeng Qi, Hui Shen, Zhao Quan, Ming Tang

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