A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

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Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy by Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN

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Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy by Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN

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A Heuristic Attribute-Reduction Algorithm Based on Conditional Entropy for Incomplete Information Systems by Yanling Bao, Shumin Cheng

“…Firstly, a novel definition of conditional entropy is introduced based on tolerance relation. Additionally, in order to reduce time complexity, we propose a binsearch heuristic attribute-reduction algorithm with conditional entropy as heuristic knowledge. …”
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Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol by LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei

“…Finding ways to replace templates has become an urgent problem to be solved. Innovative research on zero knowledge protocols based on deep learning algorithms was proposed, which combines the discipline of artificial intelligence machine learning. …”
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Optimization of Torque Models for Radial Meshing Nutation Magnetic Gears Based on the Genetic Algorithm by Lou Meiyan, Yao Ligang, Guo Chenxian

“…In the research of nutation magnetic drive, the torque density of gears is an important index to evaluate its performance. …”
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A density clustering-based network performance failure big data analysis algorithm by Xiang LI, Yuan LI, Zifei ZHANG, Zhe YANG

“…Facing frequent network security incidents,how to quickly find abnormal data in massive monitoring database and carry out network failure analysis becomes a research difficulty.A density-based network performance failure big data analysis algorithm was proposed,which extracted key performance characteristic indicators through entropy weight analysis,implemented data shaping through data cleaning and standardization,and extracted abnormal performance data on the basis of DBSCAN clustering algorithm.Relying on the real-time massive backbone network link performance data of multiple domestic operators to validated this algorithm,the results shows that compared with the manually manner,the recognition accuracy of the algorithm proposed to the network performance abnormal data is more than 90%,which can well fit for the analysis of real-time Internet network operation failure.…”
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A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

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Stability optimization of dynamic migration algorithm for Post-Copy of virtual machine based on KVM by Shuangxi CHEN, Ruoyan ZHAO, Hui LIU, Chunming WU, Wei RUAN

“…The dynamic migration technology of virtual machine provides a strong support for the resource scheduling of virtualization system.As one of the two core algorithms of virtual machine dynamic migration, Post-Copy algorithm has been a hot issue for scholars at home and abroad for its advantages of stable migration time and short migration downtime.The fault tolerance mechanism of virtual machine, the connection between the transfer mode of memory page and the page missing error during the migration process, and the source code of QEMU-KVM platform were studied.A fault tolerant method based on transaction synchronization was proposed to improve the stability of the Post-Copy migration algorithm.The experimental results show that the proposed algorithm can ensure the fast repair of deep end virtual machine failure, target virtual machine failure and network fault during the migration process, and solve the stability problem at a small cost.The method proposed effectively improves the stability of the Post-Copy migration algorithm, and provides reference for the future optimization research direction.…”
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Sensor Node Deployment Based on Electromagnetism-Like Algorithm in Mobile Wireless Sensor Networks by Recep Özdağ, Ali Karcı

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Application of efficient recognition algorithm based on deep neural network in English teaching scene by Mengyang Qin

“…To identify English information in different scenes as accurately as possible, identifying the corresponding text content is the key. Based on a deep neural network, this paper proposes GCN-Attention English recognition algorithm. …”
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A New Logistic Dynamic Particle Swarm Optimization Algorithm Based on Random Topology by Qingjian Ni, Jianming Deng

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Study on Image Classification Algorithm Based on Multi-Scale Feature Fusion and Domain Adaptation by Yu Guo, Ziyi Cheng, Yuanlong Zhang, Gaoxuan Wang, Jundong Zhang

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Personalized Analysis and Recommendation of Aesthetic Evaluation Index of Dance Music Based on Intelligent Algorithm by Jun Geng

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Quadrotor Robust Fractional-Order Control Based on a Recent Bonobo Optimization Algorithm by Faycal Ziani, Aissa Benhammou, Mohamed Amine Hartani, Hegazy Rezk

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Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm by Haihong FAN

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Energy-Saving Control Method of Building Central Air Conditioning Based on Genetic Algorithm by Lihui Wang

“…In order to solve the problem of huge energy consumption of building central air conditioning, the water system of building central air conditioning was taken as the research object and the genetic algorithm of energy-saving operation and control of building central air conditioning based on MATLAB was designed, so as to build the energy-saving control system model of central air conditioning. …”
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Adaptive Super-Twisting Tracking for Uncertain Robot Manipulators Based on the Event-Triggered Algorithm by Yajun Ma, Hui Zhao, Tao Li

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The Application Based on Support Vector Machine Optimized by Particle Swarm Optimization and Genetic Algorithm by MAN Chun-tao, LIU Bo, CAO Yong-cheng

“…In order to improve the precision of the parameter optimization, the research integrates the Particle Swarm Optimization Algorithm with Support Vector Machine, and matches the experimental data, and then establishes a steadystate model of complex process system, which is based on Particle Swarm Optimization Algorithm and Support Vector Machine On the basis of this model, an improved Particle Swarm Optimization Algorithm introduced to Genetic Algorithm is proposed, in order to overcome the defects of Particle Swarm. …”
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