Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

“…Community detection is an important research topic of complex network analysis.The detection results help to understand the community structure of complex networks and provide support for downstream tasks, such as content recommendation, link detection.Considering the challenge of community detection in complex networks, a two-stage community detection algorithm based on label propagation (TS-LPA) was proposed.The TS-LPA algorithm quantified the propagation capability of nodes based on the extended neighborhood.Then a new evaluation index was proposed to measure the probability of influence between nodes using the information of nodes and the weight of edges in the network.Based on the calculation of node centrality, the algorithm determined the updating sequence of node labels and the selection strategy of seed nodes, which eliminated the instability of the algorithm in the updating process.The TS-LPA algorithm used the breadth-first propagation idea and introduced the second-stage label propagation method to improve the quality of community detection.When label began to spread, all neighboring nodes had an influence on the label of the related node.Meanwhile, the influence of neighboring seed nodes was added to complete label updating, in order to reduce the dominance of neighboring nodes on the updated node.The experimental results of different real data sets and synthetic data sets show that TS-LPA algorithm can eliminate randomness and show strong stability while effectively improving the quality of community detection.…”
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Application of Random Forest Algorithm in Xijiang River Flood Forecasting by LIU Hechang, ZHAO Bohua, SUN Bo

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Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms by Juan Sarmiento, Maribel Anaya, Diego Tibaduiza

“…As a contribution to the solution of this problem, this work presents a microplastic detection and classification methodology that uses an electronic tongue system, impedance spectroscopy, and machine learning algorithms for detecting and classifying microplastics. …”
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Wireless virtual network embedding algorithm based on link reliability by Juan LUO, Chuan-chuan LIU, Ren-fa LI

“…According to the problem of the poor reliability of wireless network links affectting wireless virtual network embedding,a wireless virtual network embedding algorithm based on link reliability named WVNEA-LR was proposed.This algorithm through the physical network topology pretreatment and the method of allowing multiple virtual nodes in the same virtual request mapping to the same physical nodes,improved the success rate of virtual networks construction and saved the physical link resources.The problem that low success ratio of virtual networks construction results from topology sparse was also improved with Q fact.Besides，node embedding of WVNEA-LR made the preparation for link embedding and this algorithm ensured virtual network embedded with high reliability via choosing high reliable paths during link embedding.Simulation results show the better success rate of virtual networks construction and higher resource utility can be acquired.…”
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Bounding box based distributed search localization algorithm for WSN by Ying-biao YAO, Rong ZENG, Zhi-qiang YI

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ALGORITHM FOR OPTIMIZING ORGANIC CARBON AND NITROGEN FLOWS ON RECLAIMED LANDS by Mikhail N. Lytov

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RSU deployment planning based on approximation algorithm in urban VANET by Junyu ZHU, Chuanhe HUANG, Xiying FAN, Kuangyu QIN, Bin FU

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Research of nonparametric density estimation algorithms by applying clustering methods by Rasa Šmidtaitė, Tomas Ruzgas

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Efficiency of the maximum entropy algorithm and GIS in assessing landslide susceptibility by مهدیس امیری, حمید رضا عسگری, حمیدرضا پورقاسمی, چوقی بایرام کمکی

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An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

“…This paper proposes an improved coarse alignment algorithm by introducing single-axis continuous rotation modulation to compensate for the errors in gyroscopes and accelerometers, thus improving accuracy. …”
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Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition by Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang

“…Aiming at the problems of traditional license plate recognition algorithms such as the low accuracy, slow speed, and the recognition rate being easily affected by the environment, a Convolutional Neural Network- (CNN-) based license plate recognition algorithm-Fast-LPRNet is proposed. …”
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Human activity recognition algorithm based on the spatial feature for WBAN by Chi JIN, Zhijun LI, Dayang SUN, Fengye HU

“…Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.…”
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Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm by Taha Basheer Taha, Ruzelita Ngadiran, Dujan B. Taha

“…In this paper, a new algorithm is proposed to authenticate images by hiding a copy of the approximation band in the original image. …”
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An algorithm for operational navigation in urban development using reinforcement learning by I. Alyrchikov, N. Moiseev, V. A. Knyaz, V. A. Knyaz

“…Along with semantic segmentation and the enhanced Dijkstra’s algorithm, reinforcement learning methods are utilized to adjust the navigation routes generated by the algorithms. …”
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The Role of Classical Image Processing Algorithms in the Age of AI Revolution by Gądek-Moszczak Aneta

“…Examples of machine learning algorithm applications for classifying structure elements are discussed. …”
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Research of Exoskeleton Trajectory Algorithm based on Homogeneous Differential Equation by Liang Yuhang, Liang Guoxing, Li Zhili, Song Jinpeng, Ren Qichao

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Study on Chinese spam filtering system based on Bayes algorithm by Haoran LIU, Pan DING, Changjiang GUO, Jinfeng CHANG, Jingchuang CUI

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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Cloud removal from satellite imagery based on SUSAN algorithm by LU Li1, WANG Yong-tao1, TIAN Jin-wen1, LIU Jian1

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Forefront of Fuzzy Logic in Data Mining: Theory, Algorithms, and Applications by Gözde Ulutagay, Ronald Yager, Bernard De Baets, Tofigh Allahviranloo

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