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  1. 2461

    Improved Algorithm to Detect Clandestine Airstrips in Amazon RainForest by Gabriel R. Pardini, Paulo M. Tasinaffo, Elcio H. Shiguemori, Tahisa N. Kuck, Marcos R. O. A. Maximo, William R. Gyotoku

    Published 2025-02-01
    “…These results suggest that, despite a slight reduction in recall, the modifications significantly improved the original algorithm by minimizing its limitations. …”
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    Developing structural component of computational thinking using the algorithmic primitives method by Irina V. Bazhenova, Margarita M. Klunnikova, Nikolay I. Pak

    Published 2025-03-01
    “…The goal of the study is to substantiate the algorithmic primitives method to create a methodology for the development of a structural component of students’ computational thinking in the cluster of disciplines “Programming - Numerical Methods - Information Technologies in Education”. …”
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  5. 2465

    Karatsuba Algorithm Revisited for 2D Convolution Computation Optimization by Qi Wang, Jianghan Zhu, Can He, Shihang Wang, Xingbo Wang, Yuan Ren, Terry Tao Ye

    Published 2025-05-01
    “…Our analysis and benchmarks have shown that for convolution operations of the same dimensions, the Karatsuba algorithm requires the same number of multiplications but fewer additions as compared with the Winograd algorithm. …”
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    Article
  6. 2466

    Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks by Denis-Luc Ardiet, Justus Nsio, Gaston Komanda, Rebecca M. Coulborn, Emmanuel Grellety, Francesco Grandesso, Richard Kitenge, Dolla L. Ngwanga, Bibiche Matady, Guyguy Manangama, Mathias Mossoko, John K. Ngwama, Placide Mbala, Francisco Luquero, Klaudia Porten, Steve Ahuka-Mundeke

    Published 2024-11-01
    “…Analyses of retrospective data from patients suspected of having Ebola virus infection identified 13 strong predictors and time from disease onset as constituents of a prediction score for Ebola virus disease. We also noted 4 highly predictive variables that could distinguish patients at high risk for infection, independent of their scores. …”
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    Analysis of E-Commerce Marketing Strategy Based on Xgboost Algorithm by Hong Chen, Wei Wan

    Published 2023-01-01
    “…After data cleaning and preprocessing, XGboost algorithm is used to predict whether the customer will process the credit card. …”
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  12. 2472

    MODELING OF ELECTRONIC OPEN EDUCATIONAL RESOURCES by Nina V. Komleva

    Published 2016-05-01
    “…The tools are analyzed in detail to create a virtual environment OER. The algorithm of the decision making process on the processing of contentbased neuro-fuzzy.…”
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  13. 2473

    Turkish educational policy in Central Asia by A. S. Ergashev, O. E. Grishin

    Published 2023-03-01
    “…The author suggests algorithmic approaches to improve the image and increase Turkish education attractiveness through tourism and culture. …”
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    Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

    Published 2025-06-01
    “…Furthermore, by considering the semantic knowledge base (SKB) as a specific instance of synonymous mapping, the EBA algorithm provides a theoretical approach for analyzing and predicting the SKB size. …”
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  17. 2477

    Utility channel estimation algorithm with interference suppression in OFDM system by Xiaoyang LAI, Lin DUO

    Published 2016-01-01
    “…In OFDM system,the least square(LS)algorithm has the shortage of noise cancelling and interference suppressing.An utility channel estimation algorithm which took advantage of the time frequency characteristic in OFDM system was proposed.The new channel estimation algorithm realized noise cancelling and interference suppressing through time-frequency transform by three times.In view of time-frequency transform could be achieved by FFT/IFFT,the new channel estimation algorithm complexity was low.In the TU channel simulation,the new channel estimation algorithm has the high performance,which was 3 dB better than the LS algorithm.In the TU channel simulation with interference suppression,the new channel estimation algorithm has only 1.5 dB reduction in performance.…”
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    Dynamic beam shut-off algorithm for LEO satellite constellation by Shuaijun LIU, Yuemei HU, Chunshi FAN, Teng LING, Lixiang LIU

    Published 2020-04-01
    “…Aiming at the problems of the relatively dense coverage of the satellites in the space segment of the low earth orbit (LEO) multibeam satellite constellation network,which resulted in relatively dense areas in some regions,causing severe inter-beam interference and unnecessary beam resource overhead,a beam shut-off algorithm was proposed with global coverage requirements.The dynamic beam shut-off (DBSO) optimization problem was formulated in LEO multibeam satellite constellation network.Then,the problem was proved to be NP-complete and a heuristic DBSO algorithm was proposed.Simulation scenario considers the Iridium constellation network scenario with total 3 168 beams,and it shows that the number of required activated beams is only 1 913 with 39.61% beam resource reduction.…”
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