Research on the Popularity Prediction of Multimedia Network Information Based on Fast K Neighbor Algorithm by Xiaodong Mao, Fei Xu

“…This paper combines the fast K-nearest neighbor algorithm to predict and analyze the popularity of multimedia network information and improves the nonindependent and identically distributed KNN classification algorithm. …”
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Temporal fair active queue management algorithm for multi-rate 802.11 WLAN by HUANG Jia-wei, WANG Jian-xin

“…A temporal fair AQM-TFRED（temporal fair RED） on AP（access point） in multi-rate 802.11 WLAN was proposed.Taking into account the transmission rate of each flow,TFRED set different drop probability for each flow go-ing through the AP to guarantee equal channel usage time for each wireless node.Analysis and simulation results show that,compared with throughput fair AQM algorithms,TFRED achieves temporal fairness,per-flow throughput protection,and increase in total throughput.…”
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Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm by Yuliang CONG, Wenxi SUN, Ke XUE, Zhihong QIAN, Mianshu CHEN

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Routing algorithm based on characteristics analysis of vehicle trace in vehicular ad hoc network by Hua TAO, Fu-qin FENG, Peng XIAO, Cheng-wei TAN, Jun TAO

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Retracted: Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm by null Complexity

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Improved ant colony algorithm based on natural selection strategy for solving TSP problem by Hua-feng WU, Xin-qiang CHEN, Qi-huang MAO, Qian-nan ZHANG, Shou-chun ZHANG

Subjects: “…ant colony algorithm…”
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Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning by Yang GAO, Jun-li CHEN, Guang-li YANG

“…A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of uniform linear array was generated through constructing augment matrix as the processing signal used by DOA estimation.Then,estimation model was transformed from complex value to real value by using unitary transformation.In the next step,off-grid model and sparse Bayesian learning algorithm were combined together to process the realization of DOA estimation iteratively.The accuracy of estimation could made relatively high.The simulation result demonstrates that the RV-OGSBL method not only maintains the performance of traditional SBL algorithm,but also reduces the computational complexity significantly.Under the situation of lower signal noise ratio (SNR) and low number of snapshots,the running time of algorithm is reduced about 50%.This shows the RV-OGSBL method is a rapid DOA estimation algorithm.…”
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New EM parameter estimation algorithm for a type of micro-motion SFM signal by Yong-yan JIANG, Shi-yuan ZHANG

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Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment by Rong ZENG, Xiao HANG

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Research on Cold Chain Logistics Distribution Route Based on Ant Colony Optimization Algorithm by Haiou Xiong

“…The simulation results and experiment make clear that the IACO algorithm is lower than the chaotic-simulated annealing ant colony algorithm (CSAACO) and the traditional ACO algorithm in terms of convergence speed, logistics transportation distance, and logistics delivery time. …”
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Algorithm of DRM with Kinetic Damping for Finite Element Static Solution of Strain-Softening Structures by Wei Wang, Xiaozu Su

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Research on anomaly detection and correction of power metering data based on machine learning algorithm by Sida Zheng, Meiying Zhu, Ying Liu

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Scatterer information based indoor NLOS multiple base station cooperative localization algorithm by Liangbo XIE, Sheng LI, Mu ZHOU, Ze LI, Zengshan TIAN, Ya WANG, Changyou FU

“…In indoor environments, the localization accuracy of existing line of sight (LOS) solutions will deteriorate severely in non-line-of-sight (NLOS) environment.In order to solve this problem, an scatterer information based indoor NLOS multiple base stations cooperative localization algorithm was proposed, which could realize localization when no LOS path was available.Firstly, the target NLOS area and scatterer blur area were collaboratively determined through multiple AP and joint scene prior information.Secondly, the areas of scatterer were further constrained according to the angle of arrival.Then, an error minimization equation based on the differential time of flight was established by employing angle, scatterer and time.Finally, a hybrid algorithm using genetic algorithm and Levenberg Marquardt algorithm was proposed to solve the objective equation.Simulation and measurement results show that the proposed algorithm can localize the target with only NLOS paths.…”
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A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems by Zhendong Yin, Xiaohui Liu, Zhilu Wu

“…Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
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MULTI-OBJECTIVE PARAMETER OPTIMIZATION OF SYNCHRONIZER BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM by WANG ChunHua, GUO ZhiWei

Subjects: “…Improved particle swarm optimization algorithm…”
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Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm by Qunfeng Wei, Bin Qi

“…As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation. …”
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Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots by Wolmar Araujo-Neto, Leonardo Rocha Olivi, Daniel Khede Dourado Villa, Mário Sarcinelli-Filho

“…The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. …”
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Spherical Linear Diophantine Fuzzy TOPSIS Algorithm for Green Supply Chain Management System by Ibtesam Alshammari, Mani Parimala, Cenap Ozel, Muhammad Riaz

“…Because of the form of the problem, a resolution is defined, which comprises an algorithm entrenched in the spherical linear Diophantine fuzzy sets (SLDFSs) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique. …”
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system. …”
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