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  1. 61

    Prediction of Hypertension Patients with Machine Learning Algorithm by Eko Priyono

    Published 2025-06-01
    “…These algorithms can predict hypertension risk based on clinical data, such as age, medical history, and lifestyle. …”
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    Article
  2. 62

    Location prediction algorithm based on movement tendency by Wen LI, Shi-xiong XIA, Feng LIU, Lei ZHANG, Guan YUAN

    Published 2014-02-01
    “…A location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object's historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. …”
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    Article
  3. 63
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  8. 68

    COMBINED NOISE AND ACOUSTIC FEEDBACK REDUCTION ALGORITHM BASED ON SPECTRAL WEIGHTING RULES FOR SMARTPHONE HEARING AID by M. I. Vashkevich, E. S. Azarov, A. A. Petrovsky

    Published 2019-06-01
    “…The paper presents a combined noise and acoustic feedback reduction algorithm. The algorithm is based on spectral subtraction and is robust to rapid changes in acoustic feedback path which makes it suitable for using in a smartphone-based hearing aid.…”
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    Article
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  11. 71

    Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm by Kenneth Christopher Ugwoke, Nnanna Nwojo Agwu, Saleh El-Yakub Abdullahi

    Published 2025-08-01
    “…Simulation environments, each with varying complexity in obstacle arrangement, were designed for various simulations of the proposed algorithm. A Python-based computer simulation program was implemented and used to simulate the KNS, APF, and a similar waypoint reduction algorithm -Ramer-Douglas-Peucker (RDP) and the results were analyzed. …”
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    Article
  12. 72

    Real power loss reduction by Rock Dove optimization and Fuligo Septica optimization algorithms by Kanagasabai L.

    Published 2020-12-01
    “…This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. …”
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    Article
  13. 73

    Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

    Published 2023-04-01
    “…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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    Article
  14. 74
  15. 75

    Design of the Equivalent Stiffness in the 3-PCR Vibration Reduction Platform based on Genetic Algorithm by Zheng Liangchen, Niu Junchuan, Zhang Fuliang, Liu Zhihui

    Published 2018-01-01
    “…The equivalent stiffness of vibration reduction platform in engineering application can be realized by using this design method. …”
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    Article
  16. 76

    Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

    Published 2023-04-01
    “…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
    Get full text
    Article
  17. 77

    Game simulators as educational tools for developing algorithmic thinking skills in computer science education by Maksym S. Kovtaniuk, Svitlana V. Shokaliuk, Alexander N. Stepanyuk

    Published 2025-03-01
    “… This paper presents an analysis of game simulators as educational tools for developing algorithmic thinking skills in computer science education. …”
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    Article
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    AN ALGORITHM FOR CONSTRUCTING PLAN DEVELOPMENT OF THE EDUCATION SYSTEM OF THE REGION by Oksana V. Erashova

    Published 2016-07-01
    “…This article formed the algorithm for constructing the plan of development of the education system provided by a novel combination of strategic planning tools…”
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    Article
  20. 80

    The application of the algorithm of the individualization of students’ physical education process by L.N. Barybina, N.A. Kolomiec, V.A. Komotskaja

    Published 2014-12-01
    “…Results: it was worked out the algorithm of individualization of students’ physical education process. …”
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    Article