Showing 921 - 940 results of 15,770 for search 'Based research algorithms', query time: 0.27s Refine Results
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    Application of Motion Capture Based on Digital Filtering Algorithm in Sports Dance Teaching by Fan Rao

    Published 2022-01-01
    “…In addition, this paper combines the simulation test to evaluate the performance of the system designed in this paper. The research results show that the motion capture system for sports dance teaching based on the digital filtering algorithm proposed in this paper can play an important role in sports dance teaching and effectively improve the efficiency of sports dance teaching.…”
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    Dynamic load balancing algorithm based on queuing theory comprehensive index evaluation by Wenbo WANG, Qingwei YE, Yu ZHOU, Zhihua LU

    Published 2018-07-01
    “…Internet communication,computer cluster and cloud environment have complex and dynamic characteristics,which can cause load imbalance easily,reduce the service efficiency and increase the energy consumption.Therefore,the load balancing technology becomes the focus of research.The existing load balancing strategy uses the occupancy of CPU,memories,processes to estimate the current load of each server.But it is hard to guarantee its accuracy.Aiming at this problem,a dynamic load balancing algorithm based on queuing theory comprehensive index evaluation was proposed.Firstly,queuing theory model was introduced to estimate the real-time load of each server,and then the tasks of input queue was distributed to each server separately according to the load comprehensive index of each server.Experimental results show that this method can balance the load of each server effectively and reduce the average waiting time of the task requests,which is of great application value.…”
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  8. 928

    Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

    Published 2023-01-01
    “…To establish a suitable pure electric bus arrival time prediction model, this paper takes pure electric bus as the research object. Based on the analysis of the influencing factors of the arrival time of the pure electric bus, the BP neural network arrival time prediction model optimized by the firefly algorithm (FA-BP prediction model) is established by selecting vehicle type, SOC value, battery age, and time as input conditions. …”
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    Connectivity Node Set Generation Algorithm of Mine WSN Based on the Maximum Distance by Ke Wang, Donghong Xu

    Published 2016-07-01
    “…Wireless sensor backbone network deployed in a coal mine laneway environment is researched in the paper. We propose a Connectivity Node Set Generation Algorithm of Mine WSN Based on Maximum Distance. …”
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    Computational Algorithm Based upon Dirichlet Boundary Conditions: Applications to Neutron Holograms by Ignacio Molina de la Peña, Maria L. Calvo, Ramón F. Alvarez-Estrada

    Published 2025-02-01
    “…Neutron optics is a branch of both neutron physics and quantum physics that focuses on the study of the optical properties of slow neutrons and their dual behavior as both waves and particles. In previous research, we developed a mathematical framework based on Dirichlet boundary conditions to describe the propagation of slow neutrons in space. …”
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  14. 934

    Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

    Published 2021-08-01
    “…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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    Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

    Published 2022-01-01
    “…The results show that the big data integration system based on big data and dynamic decision tree algorithm has high adaptability. …”
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    Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

    Published 2021-08-01
    “…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
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    Article
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    Expert-based sustainable investment strategies for SMEs with hybrid molecular fuzzy learning algorithms by Anisah Firli, Dadan Rahadian, Hasan Dinçer, Serhat Yüksel, Deannes Isyuwardhana, Cahyaningsih, Putri Fariska

    Published 2025-06-01
    “…The purpose of this study is to identify prior sustainable investment strategies for small and medium enterprises (SMEs) by proposing a hybrid molecular fuzzy decision-making model. First, q-learning algorithm is used to compute the weights of the experts. …”
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