Showing 4,961 - 4,980 results of 25,328 for search 'research algorithm', query time: 0.18s Refine Results
  1. 4961
  2. 4962

    Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

    Published 2025-02-01
    “…Among them, the random forest algorithm was improved by incorporating word embedding technology to facilitate the acquisition of semantic similarity. …”
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    Article
  3. 4963

    Optimization of electric vehicle charging facility layout considering the enhancement of renewable energy consumption capacity and improvement of PSO algorithm by Di Zheng, Baobao Zheng

    Published 2025-04-01
    “…These three improvements include randomly updating inertia weights, introducing acceleration factors to replace learning factors, and introducing fast non-dominated sorting for better or worse selection, and improving the optimization ability of the algorithm by solving the crowding distance. The results showed that the maximum function values of the designed algorithm were 3.56 × 10–14, 5.32 × 100, and 1.08 × 101 for unimodal, multimodal, and composite functions, respectively, and the standard deviations of the algorithm were 2.01 × 10–14, 3.557 × 100, and 8.56 × 10–1, all of which were smaller than comparison algorithms. …”
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  4. 4964
  5. 4965

    Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology by Huiya Xing, Xiangyi Li, Min Liu, Yicong Zhong

    Published 2025-12-01
    “…It offers a distinct method of improving cultural tourism by combining Virtual Reality (VR), Genetic Algorithm (GA), and individual customization. Premature convergence and inadequate population variety are addressed by the Dynamic variety-Enhanced Genetic Algorithm (DDE-GA), a variation of the conventional GA. …”
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    Article
  6. 4966

    A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

    Published 2025-12-01
    “…The research demonstrates promising results with an accuracy of 98.91 % and an F1-score of 94.83, showcasing the robustness of the proposed algorithms on a benchmark dataset. …”
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    Article
  7. 4967

    The Modified Sparrow Search Algorithm with Brown Motion and Levy Flight Strategy for the Class Integration Test Order Generation Problem by Chongyang Jiao, Qinglei Zhou, Wenning Zhang, Chunyan Zhang

    Published 2025-03-01
    “…A crucial component of software testing is integration testing, and the generation of class integration test orders (CITOs) is a critical topic in integration testing. The research shows that search-based algorithms can solve this problem effectively. …”
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  8. 4968

    A Video SAR Multi-Target Tracking Algorithm Based on Re-Identification Features and Multi-Stage Data Association by Anxi Yu, Boxu Wei, Wenhao Tong, Zhihua He, Zhen Dong

    Published 2025-03-01
    “…A multi-target tracking algorithm for ViSAR that utilizes re-identification (ReID) features and a multi-stage data association process is proposed. …”
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    Article
  9. 4969

    Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms by Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani

    Published 2025-06-01
    “…In contrast, KNN struggled with missing-not-at-random (MNAR) data due to its reliance on the k parameter and distance metric, making it less effective in mapping missing data relationships. • Missing values in well-log data can hinder lithology classification accuracy for efficient resource exploration in the oil and gas industry. • This research aims to address the problem of missing values in well-log datasets by applying machine learning algorithms such as XGBoost, ANN, and KNN to enhance classification performance. • XGBoost demonstrated superior performance in handling extreme missing data (30 %) in well-log datasets. …”
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  10. 4970

    Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition by Yihang Zhang, Hang Zhao

    Published 2025-02-01
    “…Many deep learning techniques are utilized for arrhythmia classification in current research but only based on ECG data, lacking the mathematical foundations of cardiac electrophysiology. …”
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    Article
  11. 4971

    Efficient Task Scheduling Approach in Edge-Cloud Continuum based on Flower Pollination and Improved Shuffled Frog Leaping Algorithm by Nasiru Muhammad Dankolo Dankolo, Nor Haizan Mohamed Radzi, Noorfa Haszlinna Mustaffa, Mohd Shukor Talib, Zuriahati Mohd Yunos, Danlami Gabi

    Published 2024-02-01
    “…An efficient scheduling strategy for distributing workloads among virtual machines in the edge-cloud continuum data center is mandatory to ensure the fulfilment of QoS requirements for both customer and service provider. Existing research used metaheuristic algorithm to solve tak scheduling problem, however, must of the existing metaheuristics used suffers from falling into local mina due to their inefficiency to avoid unfeasible region in the solution search space. …”
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  12. 4972
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  15. 4975

    Algorithm for selecting patients for house dust mite allergen specific im- munotherapy in children with bronchial asthma and allergic rhinitis by O. V. Trusova, A. V. Kamaev, N. L. Lyashenko, I. V. Makarova, N. B. Platonova

    Published 2023-07-01
    “…Based on literature data and own research, on the selection of pediatric patients for the treatment of allergen immunotherapy (AIT) with house dust mite (HDM) allergens, to develop an Algorithm for selecting patients for AIT with HDM allergens in children with bronchial asthma (BA) and allergic rhinitis (AR).   …”
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  16. 4976
  17. 4977

    Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm by Waleed Khalid Al-Azzawi, Ahmed Majed Althahabi, Kadhum Al-Majdi, Jenan Ali Hammoode, Ali Hussein Adhab, Alaa M. Lafta, Julayeva Zhazira, Ðbdukarimov Sadratdin

    Published 2023-09-01
    “…To achieve this objective, the Cuckoo Optimization Algorithm (COA), a metaheuristic optimization algorithm, has been used to optimize the system. …”
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    Article
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