Domain name generation algorithm based on improved Markov chain by QIAN Zhiye, LI Xue, LI Suogang

Subjects: “…domain name generation algorithm…”
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An Algorithm for Fuzzification of WordNets and its Application in Sentiment Analysis by Yousef Alizadeh-Q, ‌‌Behrouz Minaei Bidgoli, Sayyed Ali Hossayni, Mohammad-R Akbarzadeh-T, Diego Reforgiato Recupero, Aldo Gangemi

“…A theoretical proof is also proposed for the validity of results of the proposed algorithm. Then, inputting the open-American-online-corpus (OANC) and UKB word-sense-disambiguation to the algorithm, we construct and publish online the fuzzified version English WordNet (FWN), and apply them in a Sentiment Analysis problem.…”
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Multiple-Model Adaptive Estimation with A New Weighting Algorithm by Weicun Zhang, Sufang Wang, Yuzhen Zhang

“…A new scheme of weighted multiple-model adaptive estimation is presented, in which the classical weighting algorithm is replaced by a new weighting algorithm to reduce the calculation burden and to relax the convergence conditions. …”
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Convergence of a Proximal Point Algorithm for Solving Minimization Problems by Abdelouahed Hamdi, M. A. Noor, A. A. Mukheimer

“…We introduce and consider a proximal point algorithm for solving minimization problems using the technique of Güler. …”
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Improved Delay-and-Sum Beamforming Algorithm for Breast Cancer Detection by M. Klemm, I. J. Craddock, J. A. Leendertz, A. Preece, R. Benjamin

“…We have evaluated a modified delay-and-sum (DAS) beamforming algorithm for breast cancer detection with a microwave radar-based system. …”
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ISI sparse channel estimation based on ISL0 algorithm by Ting LIU, Jie ZHOU, CHIJiu-he JU

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Node localization algorithm based on kernel function and Markov chains by ZHAO Fang1, LUO Hai-yong2, LIN Quan3, MA Yan4

“…To position indoor objects accurately and robustly,a novel node localization based on kernel function and Markov chains was presented,which employs Bayesian filter framework and radio fingerprinting technology.It uses kernel function to construct likelihood function to take full advantage of the similarity between observation and several training samples,which avoids the error brought by employing a priori determined distribution model.Furthermore,the proposed algorithm uses Markov chains to improve the localization accuracy and shorten the positioning time.It limits the search space of the matching grids with object’s previous state and the environment layout,and refuses the object’s impossible position jump during the moving process.Experiments confirm that the proposed localization outperforms the algorithm with Gaussian distribution model.…”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…This study introduces an improved YOLOv8 algorithm named MSEC-YOLO, specifically designed for the detection and classification tasks of laryngeal cancer in endoscopic images. …”
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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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Local outlier factor algorithm based on correction of bidirectional neighbor by Xiaohui YANG, Xiaoming LIU

“…A local outlier factor algorithm based on bidirectional neighbor correction was proposed to solve the problems of existing outlier detection algorithms such as difficulty in parameter selection,poor efficiency and low accuracy.The bidirectional neighbor searching algorithm was used to reduce the neighbor search time.Then the bidirectional neighbor pruning algorithm was used to reduce the number of parameters and unnecessary calculations.And the correction factor based on bidirectional neighbors was used to improve the calculation accuracy.Experimental results show that the proposed algorithm has better performance in parameter selection and time efficiency than other outlier detection methods.The correction factor improves the accuracy of the algorithm,in the synthetic data set and UCI data set.…”
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Parallel time-delay estimation algorithm for GMSK mixing signals by RUI Guo-sheng1, XU Bin2, ZHANG Song2

“…Parallel time-delay estimation algorithm was proposed for GMSK mixing signals based on linear approxima-tion approach.Parallel estimation equations were built in flat-fading channel according to autocorrelation of over-sampling based mixing signals and then Cramer-Rao bound for parallel time-delay estimation was deduced.Poly-nomial fitting method was uesed to simplifying nonlinear complexity of GMSK shaping filter and estimation equations were resolved numerically by gradient descent algorithm with fast convergence.Simulation results show that its estimat-ing performance is good and the variance of estimation error is close to Cramer-Rao bound.As a non-preamble aided al-gorithm with lower complexity it is significant for the next blind processing.…”
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A parallel algorithm for solving one problem of nonlinear optics by Raimondas Čiegis, Genė Kairytė, P. Ratė

“…A parallel version of the finite-difference scheme is proposed and the efficiency of this algorithm is investigated. …”
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Resource allocation algorithm for downlink multiuser CoMP system by Yong-hong KUO, Ren-yong WAN, Jian CHEN, Jian WANG

“…For downlink multiuser coordinated multi-point transmission (MU-CoMP) system,a fast resource allocation algorithm was proposed to solve the margin adaptive (MA) problem.Firstly the algorithm estimated the number of sub-carriers for each user based on its average channel gain and minimal-rate requirement,and then an efficient algorithm was designed to complement subcarrier allocation.At last,fast bit-loading was achieved through pre-determining and remov-ing the inefficient spatial subchannels.Simulation results show that the proposed algorithm decreases the total transmit power with both the minimal-rate and bit error rate requirements satisfied,and obtains near-optimal performance with less complexity,compared with the optimal algorithm.…”
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Blind equalization algorithm based on complex support vector regression by Ling YANG, Liang CHEN, Bin ZHAO, Guolong ZHANG, Yuan LI

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Influence maximization algorithm of social networks based on Transformer model by YU Shuke, YAO Yao, YAN Chenxue

“…The network topology structure based influence maximization algorithms are greatly influenced by the network structure, which leads to unstable performance of social networks of different scales and different topology structures. …”
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Energy-Efficient Secure Path Algorithm for Wireless Sensor Networks by Imanishimwe Jean de Dieu, Nyirabahizi Assouma, Maniraguha Muhamad, Wang Jin, Sungyoung Lee

“…This transmission requires a specific routing algorithm. To prolong the network lifetime, sensor nodes need a secure load-balancing route. …”
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An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization by Tae Jong Choi, Chang Wook Ahn, Jinung An

“…In this paper, we present an adaptive parameter control DE algorithm. In the proposed algorithm, each individual has its own control parameters. …”
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GNN-based optimization algorithm for joint user scheduling and beamforming by Shiwen HE, Jun YUAN, Zhenyu AN, Min ZHANG, Yongming HUANG, Yaoxue ZHANG

“…The coordinated multi-point (CoMP) transmission technology has the characteristics of reducing co-channel interference and improving spectral efficiency.For the CoMP technology, user scheduling (US) and beamforming (BF) design are two fundamental research problems located in the media access control layer and the physical layer, respectively.Under the consideration of user service quality requirements, the joint user US-BF optimization problem was investigated with the goal of maximizing network throughput.To overcome the problem that the traditional optimization algorithm had high computational cost and couldn’t effectively utilize the network historical data information, a joint US and power allocation (M-JEEPON) model based on graph neural network was proposed to realize joint US-BF optimization by combining the beam vector analytical solution.The simulation results show that the proposed algorithm can achieve the performance matching or even better than traditional optimization algorithms with lower computational overhead.…”
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A novel improved flooding algorithm for DSR protocol in MANET by Peili CONG, Heng ZHAO

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On the Potential of Algorithm Fusion for Demographic Bias Mitigation in Face Recognition by Jascha Kolberg, Yannik Schäfer, Christian Rathgeb, Christoph Busch

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