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  1. 2701
  2. 2702

    EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

    Published 2024-12-01
    “…The UAPSO-SVM algorithm C=0.82568 and γ=0.01960 excels in initial exploration, discovering more optimal global solutions with smaller variability. …”
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    Article
  3. 2703

    A Morphological Filtering Method Based on Particle Swarm Optimization for Railway Vehicle Bearing Fault Diagnosis by Yan Huang, Jianhui Lin, Zechao Liu, Chenguang Huang

    Published 2019-01-01
    “…With the rapid development of high-speed railway, the fault diagnosis of railway vehicles has become more and more important for ensuring the operating safety. …”
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    Article
  4. 2704

    The Fourth-Party Logistics Routing Problem Using Ant Colony System-Improved Grey Wolf Optimization by Fuqiang Lu, Wenjing Feng, Mengying Gao, Hualing Bi, Suxin Wang

    Published 2020-01-01
    “…In this paper, the study of fourth-party logistics (4PL) path optimization considers that more third-party logistics (3PL) undertake transportation tasks. …”
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    Article
  5. 2705

    A Comparative Study on Acoustic Optimization and Analysis of CLD/Plate in a Cavity Using ESO and GA by Dongdong Zhang, Shuwen Wang, Ling Zheng

    Published 2018-01-01
    “…The results demonstrate effectiveness of the two methods, and ESO is more efficient to obtain deterministic and more practical optimal CLD material layouts for minimizing sound radiation power. …”
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    Article
  6. 2706
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  8. 2708

    Polar code construction by estimating noise using bald hawk optimized recurrent neural network model by Sunil Yadav Kshirsagar, Venkatrajam Marka

    Published 2025-07-01
    “…This research presents a practical and significant innovation by combining recurrent neural networks (RNNs) for noise estimation in polar coding with a Bald Hawk optimization approach. Moreover, this synthesis of RNN-based noise estimation with Bald Hawk optimization makes the polar coding system more flexible and adaptive, allowing for more accurate noise estimation during decoding. …”
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    Article
  9. 2709

    Grey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles by Yasin Kabalcı, Ersan Kabalcı

    Published 2024-09-01
    “…These systems can improve energy efficiency, reduce charging times, and extend the driving range of EVs, making them more practical and appealing to consumers. In this study, a new controller design is realized using the grey wolf optimization (GWO) algorithm, and the energy consumption demands of EV HESS are optimized with the designed system. …”
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    Article
  10. 2710

    Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques by S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu

    Published 2025-05-01
    “…Governments and organizations are therefore becoming more and more interested in the opinions that citizens voice on social media platforms. …”
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    Article
  11. 2711

    Managing Risk Across Time: An Intertemporal Spectral Risk Measures Framework for Multi-Period Portfolio Optimization by Chengneng Jin, Jianjun Gao

    Published 2025-05-01
    “…This paper introduces a novel framework for multi-period portfolio optimization that incorporates intertemporal spectral risk measures (ISRMs). …”
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    Article
  12. 2712
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    Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base by Yiyan Zhang, Yi Xin, Qin Li

    Published 2025-08-01
    “…The accuracy rate of the hyperparameter optimization value judgment model obtained in this study can reach more than 80%. …”
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    Article
  14. 2714

    Myocardial Recovery in the Systemic Context: A Philosophic Shift for the Heart Failure Subspecialty to Optimize Patient Care by Arjun Kapoor, Jehanzeb Kayani, Muhammad Saad, Anuradha Lala

    Published 2024-08-01
    “…In so doing, a more synchronized delivery of care across settings and disciplines may be feasible for the modern patient living with heart failure.…”
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  15. 2715

    Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm by Xiang Meng, Qi He, Yanhua Dong, Hongyu Sun

    Published 2025-07-01
    “…The clustering algorithm is becoming more and more important in the field of data mining, but the traditional clustering algorithm does not take the clustering efficiency and clustering effect into consideration. …”
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  16. 2716

    Has the Voluntary Disclosure Program Run Optimally? Insights from a Primary Tax Office in Wates by Dewi Wulaningrum Puspita, Kusumastuti Wardana Linda, Shujahat Ali, Nafiati Lulu, Cici Setyaningrum

    Published 2024-01-01
    “…The voluntary disclosure program carried out by Pratama Wates Tax Office has been running less than optimally.…”
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    Article
  17. 2717

    Toward Intelligent Caching in DSR Protocols: Route Compression, Hierarchical Structures, and Link-Aware Optimization in MANETs by Ammar Kareem Obaid, Mohd Ezanee Bin Rusli, Salman Yussof

    Published 2025-01-01
    “…In addition, link quality metrics such as residual energy and link duration are integrated into route selection, enabling more stable and energy-efficient communication paths. …”
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    Fractional Artificial Protozoa Optimization Enabled Deep Learning for Intrusion Detection and Mitigation in Cyber-Physical Systems by Shaik Abdul Rahim, Arun Manoharan

    Published 2024-01-01
    “…Nevertheless, the network and wireless communication technology creates high complexity, and the intelligence and dynamic of network intrusions make CPS more insecure to network intrusions and provide more critical threats to human life and national security. …”
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    Article
  20. 2720

    Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data by Afidatul Masbakhah, Umu Sa'adah, Mohamad Muslikh

    Published 2024-11-01
    “…Therefore, the hybrid RF-FOX method allows the performance of the model to be more optimized, thus helping in the identification of patients at risk of cervical cancer more precisely.…”
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    Article