An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

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An Adaptive Evolutionary Algorithm for Traveling Salesman Problem with Precedence Constraints by Jinmo Sung, Bongju Jeong

“…We propose a new evolutionary algorithm to efficiently obtain good solutions by improving the search process. …”
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Improved KNN Algorithm Based on Preprocessing of Center in Smart Cities by Haiyan Wang, Peidi Xu, Jinghua Zhao

“…The KNN algorithm is one of the most famous algorithms in machine learning and data mining. …”
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Test case minimizing based on combination chaos genetic algorithm by Qing SHEN, Yunliang JIANG, Zhangguo SHEN, Jungang LOU

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Minimum Cost Flow Model and Algorithm of Virtual Network Embedding by Xiaohua Chen, Chunzhi Li, Liangyu Chen, Zhenbing Zeng

“…The dynamic process of network virtualization was studied,and the inversion phenomenon that the revenue did not rely on embedding cost was discovered.Then minimum cost flow model and algorithms of virtual network embedding which fit for creating virtual network online on the large-scale substrate network were proposed.Simulation results reveal that the proposed algorithms can improve virtual network acceptance ratio and system revenue,and significantly reduce the time complexity of multi-path virtual link embedding algorithm which ensures real-time performance of online virtual network embedding.The inversion phenomenon also occurs in the simulation.…”
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Energy optimization of ant colony algorithm in wireless sensor network by Peng Li, Huqing Nie, Lingfeng Qiu, Ruchuan Wang

“…An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. …”
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Blunt trauma of the scrotum and testicle: algorithm of choice of treatment tactics by S. K. Yarovoy, R. A. Khromov

“…The study is a comparison of the results of prospective (according to the algorithm) and retrospective fragments, including a total of 459 patients (414 retrospectively, 45 prospectively). …”
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A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm by Yu-Pei Huang, Xiang Chen, Cheng-En Ye

“…The proposed algorithm integrates a genetic algorithm (GA) and the firefly algorithm (FA) and further improves its calculation process via a differential evolution (DE) algorithm. …”
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Improving diversification by a hybrid bat-Nelder-Mead algorithm and DDE for rapid convergence to solve global optimization by Enas Suhail, Mahmoud El-Alem, Omar Bazighifan, Ahmed Zekri

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<italic>UAV-NavS</italic>: Three-Dimensional Navigation System of Multiple Unmanned Aerial Vehicles Using Hybrid Optimization Algorithm by Monia Digra, Upma Jain, Ram Kishan Dewangan, Himanshu Suyal

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Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm by Peilong Xu, Dan Lan, Haolin Yang, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

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A Nonlinear Hybrid Algorithm for Retrieving Land Surface Temperatures From Chinese Atmospheric Environment Monitoring Satellite Thermal Infrared Data by Yichao Li, Hang Zhao, Kun Li, Jian Zeng, Qiongqiong Lan, Qijin Han, You Wu, Yonggang Qian

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A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm by Caixia Wang, Rongquan Wang, Kaiying Jiang

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Data recommendation algorithm of network security event based on knowledge graph by Xianwei ZHU, Wei LIU, Zihao LIU, Zeyu GU

“…To address the difficulty faced by network security operation and maintenance personnel in timely and accurate identification of required data during network security event analysis, a recommendation algorithm based on a knowledge graph for network security events was proposed.The algorithm utilized the network threat framework ATT＆amp;CK to construct an ontology model and establish a network threat knowledge graph based on this model.It extracted relevant security data such as attack techniques, vulnerabilities, and defense measures into interconnected security knowledge within the knowledge graph.Entity data was extracted based on the knowledge graph, and entity vectors were obtained using the TransH algorithm.These entity vectors were then used to calculate data similarity between entities in network threat data.Disposal behaviors were extracted from literature on network security event handling and treated as network security data entities.A disposal behavior matrix was constructed, and the behavior matrix enabled the vector representation of network threat data.The similarity of network threat data entities was calculated based on disposal behaviors.Finally, the similarity between network threat data and threat data under network security event handling behavior was fused to generate a data recommendation list for network security events, which established correlations between network threat domains based on user behavior.Experimental results demonstrate that the algorithm performs optimally when the fusion weight α=7 and the recommended data volume K=5, achieving a recall rate of 62.37% and an accuracy rate of 68.23%.By incorporating disposition behavior similarity in addition to data similarity, the algorithm better represents factual disposition behavior.Compared to other algorithms, this algorithm exhibits significant advantages in recall rate and accuracy, particularly when the recommended data volume is less than 10.…”
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A Mathematical Modeling and an Optimization Algorithm for Marine Ship Route Planning by Lili Huang

“…Based on the mathematical model, the ant colony algorithm is used to optimize the initial route of the ship. …”
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Spectrum allocation algorithm of elastic optical networks in power distribution system by Biyou ZHAO, Shanhui ZHANG, Jinshuai WANG

“…In order to effectively improve the resource utilization of information transmission network in reality,the spectrum allocation problem in flexible optical network in smart grid environment was analyzed,and a spectrum allocation method was proposed.Combining the advantages of genetic algorithm and ant colony algorithm,the genetic algorithm was used to generate the initial solution.Finally,the optimal solution of the spectrum allocation problem was obtained by the characteristics of positive feedback of ant colony algorithm and efficient convergence.The performance of the optimization algorithm mentioned was verified by software simulation.The proposed algorithm can optimize the use of idle spectrum resources to meet the needs of mass data transmission in distribution network,and improve the reliability of distribution network communication system,which is of great significance to the safe and reliable operation of smart grid.…”
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Application of Evolutionary Algorithms and Statistical Analysis in the Numerical Optimization of an Axial Compressor by Alberto Clarich, Giovanni Mosetti, Valentino Pediroda, Carlo Poloni

“…This analysis has helped us to choose the most appropriate variables and their ranges in order to implement the optimization algorithm more efficiently and rapidly. For the simulation of the fluid flow through the machine, we have used a cluster of 12 processors.…”
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Dynamic frame length selection algorithm for slotted access in LTE-Advanced by Hongguang DUAN, Songpin LU, Lifei WANG, Sheng WANG, Tonghui LI, Dan TAN

“…Through analyzing the random access model of slotted access based channel access control protocol (SCACP) in LTE-Advanced system, an optimization algorithm for access frame length selection based on slotted access was proposed. …”
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Improved F-RRT∗ Algorithm for Flight-Path Optimization in Hazardous Weather by Xue Qiu, Yaohui Li, Rui Jin, Zhi Zhao, Jiajun Li, Donglin Lu, Linhui Ma

“…Then, under the grid environment model, the range of influence, size, and distribution characteristics of the flight-restricted area was examined, and the path optimization model was created according to constraints related to the path distance, corner size, and number of turning points. An improved F-RRT∗ algorithm was developed to solve the model. The algorithm can overcome the problems of traditional path planning algorithms, such as strong randomness, poor guidance, slow convergence speed, unsmooth paths, and poor tracing smoothness. …”
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