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    Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing by Chunyu Song, Xiaomin Guo, Jianghua Sui

    Published 2025-06-01
    “…To address the issues of path tracking accuracy and control stability in autonomous ship berthing, an improved algorithm combining nonlinear model predictive control (NMPC) and convolutional neural networks (CNNs) is proposed in this paper. …”
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    Article
  3. 23

    Research on sybil attack in defense blockchain based on improved PBFT algorithm by Yingxu LAI, Zunxu BO, Jing LIU

    Published 2020-09-01
    “…Aiming at the problem that sybil attack has great harm to block chain technology,a method to improve the PBFT algorithm in the alliance chain to defend against sybil attacks was proposed.Firstly,using the idea of consensus algorithm based on proof of rights and interests,a reputation model was established,the reputation value of each node accorded to the behavior of each node in the consensus process was calculated,and different discourse rights accorded to the size of the reputation value was given.Then pre-commit phase was added to the PBFT algorithm to reduce the number of communication between nodes.The solution through formal analysis and reasoning and security testing shows that the improved PBFT algorithm can not only effectively defend against sybil attacks in the blockchain,but also make the performance of the blockchain system in terms of TPS and block generation delay.…”
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  4. 24

    Network Security Perception System Integrating Improved CNN Algorithm and Improved GRU Algorithm by Yu Huang, Ziyi Zhao, Canbin Shi

    Published 2024-01-01
    “…Additionally, the gated recurrent unit is improved using an adaptive boosting algorithm. A novel network security-aware model integrating both methods is constructed. …”
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  5. 25

    Improved FFT-based alpha-stable density approximation algorithm by BAI Yun, YU Li, ZHU Guang-xi, LI Li

    Published 2007-01-01
    “…Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.…”
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    Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm by Zhiguo Xin

    Published 2025-12-01
    “…To enhance the skills of beginners, a diagnosis model for table tennis beginner movement problems based on sensors and an improved dynamic time-warping algorithm is proposed. …”
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  9. 29

    Recognition algorithm of piano playing music notes based on improved hidden Markov model by Ziwei Wang

    Published 2025-09-01
    “…The recognition process of piano playing music notes is affected by low-frequency components, resulting in suboptimal features that affect recognition accuracy. Therefore, an improved hidden Markov model based recognition algorithm for piano playing music notes is proposed. …”
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  10. 30

    Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

    Published 2025-02-01
    “…Finally, the improved A* algorithm is employed to perform path planning within the environment map generated from the BIM model, resulting in the generation of the optimal path. …”
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    Face Detection Combining the YCbCr Skin Color Model with Improved Adaboost Algorithm by CUI Peng, YAN Tian-tian

    Published 2018-04-01
    “…The phenomenon,training degradation and over adapt the distribution of the training target weight,is suppressed by modifying the renewal of the weight. The improved Adaboost algorithm is used to detect the candidate region of the face,which can improve the detection speed. …”
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  13. 33

    Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms by Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás

    Published 2025-06-01
    “… This research aimed to automate the fitting of kinetic models using genetic algorithms (GAs) to optimize the estimation of kinetic parameters—the reaction rate constant (k) and the initial value of total titratable acidity (TTA, C₀)—and enhance predictive accuracy. …”
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  14. 34

    CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

    Published 2025-01-01
    “…Recent advances in the field often involve hybrid methods that combine several algorithms to improve performance. This study introduces an improved Gravitational Search Algorithm, named CMACGSA, which incorporates the Cerebellar Model Articulation Controller (CMAC)-a neural network model-to enhance the performance of Gravitational Search Algorithm (GSA). …”
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  15. 35

    An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

    Published 2025-01-01
    “…The improved algorithm was evaluated on standard test functions, demonstrating superior convergence speed and accuracy compared to other algorithms. …”
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  16. 36

    A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

    Published 2025-05-01
    “…To tackle these challenges, this paper proposes LW-YOLOv8, a lightweight object detection algorithm based on the YOLOv8s model for UAV deployment. …”
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    Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

    Published 2024-01-01
    “…ObjectiveThe low operating efficiency, massive energy consumption and large carbon emissions often exist in the operation of cascade pumping stations. To improve the operational efficiency of cascade pumping stations and vigorously promote dual carbon construction, an optimization scheduling model for cascade pumping stations was established with the goal of minimizing carbon emissions, and the Runge Kutta algorithm (RUN) was introduced to solve the model. …”
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    Genetic algorithm efficiency improvement in the course of set cover problem solution by I. S. Konovalov, V. A. Fatkhi, V. G. Kobak

    Published 2019-12-01
    “…One of the ways to solve the covering problem is described, it is a genetic algorithm. The authors use a modification of the Goldberg model and try to increase its efficiency through various types of mutation and crossover operators. …”
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