Image Segmentation Algorithm Named FSICM Based on Spatial Information by ZHU Suxia, ZU Hongliang, SUN Guanglu

“…In this paper, we present a fuzzy spatial information cmeans clustering (FSICM) algorithm for image segmentation by introducing spatial information, in order to overcome the defects of being sensitive to noises and outliers in image brought by Fuzzy cmeans clustering (FCM) algorithm The algorithm effectively utilizes the spatial information of the image and the gray information of the image to be segmented, and improves the segmentation accuracy of the noisy image Firstly, the spatial function is introduced into the membership function to change the membership weight of each pixel so as to suppress the noise Then, the neighborhood information of pixels in the image is taken into account, each pixel is processed to form a linear weighted image, and the gray histogram of the newly formed image is clustered Experimental results of both synthetic and real images show that the segmentation accuracy of FSICM algorithm for noise image is above 99% Compared with other algorithms, the algorithm proposed in this paper can remove noise while maintaining important details of the image and is robust to noise images…”
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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

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Efficient routing algorithm for opportunistic networks based on network coding by Zhi REN, Zhi-hu LIU, Yu-kun YAO, Qian-bin CHEN

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A Transfer Learning Algorithm Based on Regularized Discriminant Analysis by WANG Li-li, FENG Qi-shuai, CHEN De-yun, YANG Hai-lu

“…The experimental results on text and non-text datasets validate that the proposed algorithm can effectively improve the accuracy and generalization ability of transferring.…”
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Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm by Chao Pang

“…The result of the biclustering algorithm has its unique advantages in mining the commonalities of various provinces under certain attribute sets.…”
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Efficient algorithms for electric vehicles’ min-max routing problem by Seyed Sajjad Fazeli, Saravanan Venkatachalam, Jonathon M. Smereka

“…We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. …”
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Monte-Carlo Modelling For Evaluation Of Two Different Calculation Algorithms by Baljeet Seniwal, Telma C. F. Fonseca, Ranjit Singh

Subjects: “…anisotropic analytical algorithm…”
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Chaos Time Series Prediction Based on Membrane Optimization Algorithms by Meng Li, Liangzhong Yi, Zheng Pei, Zhisheng Gao, Hong Peng

“…This paper puts forward a prediction model based on membrane computing optimization algorithm for chaos time series; the model optimizes simultaneously the parameters of phase space reconstruction (τ,m) and least squares support vector machine (LS-SVM) (γ,σ) by using membrane computing optimization algorithm. …”
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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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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm by Fanghai Gong

“…The heuristic search algorithm is analyzed and introduced, and A is chosen. …”
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Negative feedback scheduling algorithm based on historical information in SDN by Yingying LYU, Yunfei GUO, Zhenpeng WANG, Guozhen CHENG, Yawen WANG

“…In the current SDN architecture,the controllers suffer from lots of potential attacks.For example,malicious flow rule attacks may introduce fake flow rules to confuse the host.A negative feedback scheduling algorithm based on historical information was proposed,in which hypothesis testing was used to judge the behavior of the attacker and the result will be used as a basis for scheduling.Simulation results and analysis show that,compared with the traditional scheduling methods,the proposed algorithm can increase the attacker’s time cost to a certain extent,so as to effectively defend the attacker’s probe attack.In addition,the more types of controllers,the more difficult it is to break the system.…”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…These algorithms were evaluated for their effectiveness in adapting to seasonal variations in electricity consumption data. …”
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A TSN traffic scheduling algorithm combined with enqueue shaping by Wenxuan HAN, Hailong ZHU, Xinxin HE, Yanjue LI, Changchuan YIN

“…Most of the existing studies on the scheduling of mixed traffic in time-sensitive network (TSN) focus on how to ensure low-latency of stream reservation (SR) traffic.However, SR traffic blocks best-effort (BE) traffic for a long time will lead to excessive delay in BE traffic, which is not conducive to the state maintenance of network and the management of system.In order to reduce the maximum end-to-end delay of BE messages, a traffic scheduling algorithm which combines with enqueue shaping was proposed.It reduced the blocking of BE traffic by reducing the reserved bandwidth of SR traffic.The algorithm first added enqueue buffers in front of SR queues.Then, the reserved bandwidth ratio among the same priority traffic was adjusted by setting the number of frames in each enqueue buffer entering the SR queue during enqueue shaping.Finally, it jointed egress shaping to reserve bandwidth resources for each SR flow to match its latency requirement.Simulation results showed that combining enqueue shaping can reduce the maximum end-to-end delay of BE messages by 9.66%～75.76%.…”
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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

Subjects: “…differential evolutionary algorithm…”
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Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection by Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka

Subjects: “…exponentiated gradient algorithms…”
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Genetic Algorithm for Finding the Global Forcing‎ ‎Number‎ ‎of‎ ‎Bipartite‎ ‎Graphs by Sara Oskoueian, Mostafa Tavakoli, Narjes Sabeghi

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Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

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Water Quality Prediction Based on Hybrid Deep Learning Algorithm by Bhagavathi Perumal, Niveditha Rajarethinam, Anusuya Devi Velusamy, Venkatesa Prabhu Sundramurthy

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Applying the algorithm of bee colonies at regional management of innovation projects by A. N. Rudometkin

Subjects: “…bee colony algorithm…”
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The maximum residual block Kaczmarz algorithm based on feature selection by Ran-Ran Li, Hao Liu

“…Based on the K-means method, an effective block-row partitions algorithm was proposed in [1], which involves partitioning the rows of the coefficient matrix $ A \in {\mathbb{R}^ {m \times n}} $. …”
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