Showing 1 - 20 results of 404 for search 'algorithmically random sequence', query time: 0.13s Refine Results
  1. 1

    Development of algorithms and software for classification of nucleotide sequences by V. R. Zakirava, D. A. Syrakvash, S. V. Hileuski, P. V. Nazarov, M. M. Yatskou

    Published 2019-06-01
    “…The difference between coding and non-coding fragments of nucleotide sequences was established. An error of the coding and non-coding sequences classification using the random forests method on a set of the 23 most informative features is 2,93 %.…”
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    Application of Leap-forward LFSR Based on FPGA in Pseudo Random Sequence Algorithm by HAO Hongwei

    Published 2018-01-01
    “…The results of FPGA implementation show that the pseudo-random sequence generated by this algorithm satisfies the randomness of equalization, run-length and auto-correlation, and greatly improves the efficiency of output data.…”
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    Impact analysis of zero-sequence current rounding deviation on time-domain distance protection and its improved algorithm by Mingyu Shao, Jiawei He, Bin Li, Bohao Zhou, Yan Li, Zhongrun Xie, Runbin Cao

    Published 2025-08-01
    “…And the improved time-domain distance protection algorithm, based on the random correction of zero-sequence current, is proposed. …”
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    Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

    Published 2025-06-01
    “…If a determinant influences the observed point pattern, the classification of the distribution as random must be reconsidered. We implemented this algorithm in Python as a QGIS script with two main steps: the first handles overlay operations and preliminary calculations for the chi-square goodness-of-fit test with and without Bonferroni correction in the second step. • A detailed step-by-step procedure for analyzing randomness in point patterns in a processing toolbox Python script for integration into the open-source software QGIS. • Automated scripts for structuring data, calculating expected and observed values, and applying the chi-square goodness-of-fit test for statistical analysis. • Advanced spatial analysis using chi-square goodness of fit coupled with and without Bonferroni correction, providing deeper insight into the study of the effect of spatial phenomena on the distribution of point events.…”
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    Linear adaptive filtering of random sequences on basis of deterministic approach by V. A. Artemiev, A. O. Naumov, L. L. Kokhan

    Published 2018-09-01
    “…The article studies the technique of synthesis of random sequence filters with unknown prior statistical      information about the parameters of signal and noises. …”
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    Assembly Sequence Optimization based on Improved Genetic Algorithm by Yang Wei, Meng Guanjun, Cao Wengang, Xie Kunfeng, Yu Pengfei

    Published 2016-01-01
    “…According to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature of the search.The continuous optimization of the assembly,the optimal solution is obtained. …”
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    Length–Weight Distribution of Non-Zero Elements in Randomized Bit Sequences by Christoph Lange, Andreas Ahrens, Yadu Krishnan Krishnakumar, Olaf Grote

    Published 2025-06-01
    “…In the simulation of communication systems, randomized bit sequences are often used to model a digital source information stream. …”
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    Design on Filtering Algorithm with Random Nonlinearity and One-step Measurement Delay by GAO Sheng, JI Dong-hai

    Published 2021-06-01
    “…The random nonlinearity and one-step measurement delay are described by introducing the random sequences obeying Bernoulli distribution. …”
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    GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

    Published 2024-11-01
    “…Abstract Pseudo-random number generators (PRNGs) are deterministic algorithms that generate sequences of numbers approximating the properties of random numbers, which are widely utilized in various fields. …”
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    A resource allocation algorithm based on improved salp swarm algorithm in cognitive smart grid by SHEN Hongting

    Published 2025-06-01
    “…To solve the problem of optimal resource allocation in cognitive smart grid, a chaotic swarm elite leader and Riemannian manifold salp swarm algorithm is designed. Halon sequence chaos is used to initialize the salp population, which enhances the diversity and enables the algorithm to quickly lock the optimal solution range. …”
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    The open-closed mod-minimizer algorithm by Ragnar Groot Koerkamp, Daniel Liu, Giulio Ermanno Pibiri

    Published 2025-03-01
    “…For example, they are used to index large textual collections, like DNA, and to compare sequences quickly. In such applications, a sampling algorithm is required to select one $$k$$ k -mer out of every window of w consecutive $$k$$ k -mers. …”
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