Search alternatives:
vector » sector (Expand Search)
Showing 1,401 - 1,420 results of 4,440 for search 'Vector process', query time: 0.15s Refine Results
  1. 1401
  2. 1402
  3. 1403
  4. 1404
  5. 1405

    Exploratory actor mapping of social interactions within tick risk surveillance networks in France by Iyonna Zortman, Laurence Vial, Thomas Pollet, Aurélie Binot

    Published 2024-01-01
    “…Ticks are important zoonotic disease vectors for human and animal health worldwide. In Europe they are the principal vector of public health importance, responsible for Lyme disease, the most prevalent and widespread tick-borne disease (TBD). …”
    Get full text
    Article
  6. 1406
  7. 1407
  8. 1408
  9. 1409

    Robust Kalman filter for fractional order systems with uncertain colored noise variance by Guanran Wang, Xiaojun Sun

    Published 2024-12-01
    “…For fractional order systems with colored process noise, the discretization fractional order system model is used to construct the augmented vector defined by the state vector and colored process noise vector. …”
    Get full text
    Article
  10. 1410

    基于SVM与GA参数优化的齿轮箱断齿故障诊断方法研究 by 张星辉, 康建设, 曹端超, 孙磊, 滕红智

    Published 2012-01-01
    “…A new method of gearbox fault diagnosis based on SVM(Support vector machine) and GA(Genetic algorithm)which is used to optimize parameters is presented.Firstly,the raw vibration signal is preprocessed by Time Synchronous Average algorithm.Then,the signal wavelet packet decomposition is carried out,standard deviation of wavelet packet coefficients of the signals is considered as the fault feature vector,and the normalization process of the fault feature vector is carried out.In the end,the fault feature vector is used as the input of SVM.In this process,the Daubechies order,wavelet packet decomposition level,c and g of SVM are optimized by GA.After that,the optimized parameter is used in training model which will be used for fault diagnosis.The experimental result shows that SVM and GA can be used to effectively diagnose faults of gearbox.…”
    Get full text
    Article
  11. 1411

    Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management by Xiaoyi Jiang

    Published 2022-01-01
    “…This paper mainly studies and innovates the data mining process and the support vector machine model and designs the data preprocessing method in the data mining process to perform feature selection and optimize the parameters of the support vector machine model. …”
    Get full text
    Article
  12. 1412

    Multi-Dimensional Markov Chains of M/G/1 Type by Valeriy Naumov, Konstantin Samouylov

    Published 2025-01-01
    “…We consider an irreducible discrete-time Markov process with states represented as (<b><i>k</i></b><i>, i</i>) where <b><i>k</i></b> is an <i>M</i>-dimensional vector with non-negative integer entries, and <i>i</i> indicates the state (phase) of the external environment. …”
    Get full text
    Article
  13. 1413

    Combat effectiveness analysis model of naval gun based on combat effect by WANG Zhensi, YANG Shujian, HAN Hongbo

    Published 2025-02-01
    “…Aiming at the problem of effectiveness analysis of naval gun system based on combat effect, the effectiveness analysis model is established by ADC method and analytic hierarchy process. According to the combat task, the evaluation models of availability vector, reliability matrix and capability vector are given respectively. …”
    Get full text
    Article
  14. 1414

    Stochastic Differential Games and a Unified Forward–Backward Coupled Stochastic Partial Differential Equation with Lévy Jumps by Wanyang Dai

    Published 2024-09-01
    “…The SDGs have <i>q</i> players and are driven by a general-dimensional vector Lévy process. By establishing a vector-form It<i>o</i>-Ventzell formula and a 4-tuple vector-field solution to the unified SPDE, we obtain a Pareto optimal Nash equilibrium policy process or a saddle point policy process to the SDG in a non-zero-sum or zero-sum sense. …”
    Get full text
    Article
  15. 1415

    Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model by Lokesh Selvaraj, Balakrishnan Ganesan

    Published 2014-01-01
    “…Following that, to accomplish the training process, the extracted characteristics are given to genetic algorithm based codebook generation in vector quantization. …”
    Get full text
    Article
  16. 1416

    Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture by Dan Liu

    Published 2022-01-01
    “…Determine the influencing factors of red education resources in the integration process, integrate the remote scheduling principle of teaching information into the feature vector extraction of red education resources, extract the number of main factors of the feature vector, decompose the feature vector of red education resources, take the wavelet entropy of red education resources as the fusion weight, and integrate the obtained coefficients through wavelet transformation. …”
    Get full text
    Article
  17. 1417
  18. 1418

    Minimization of unevenness of the loading of the selfcompensating high voltage power lines by Suslov V.M, Postolati V.M.

    Published 2007-12-01
    “…For minimization of unevenness of the loading the chains operated selfcompensating high-voltage power lines (OSHPL) in process of management of its reception capacity by means of synchronous change the angular shift of the phases of the voltage vector systems of the chains on its both sides is offered hereto process to add the additional regulation on sending end of the line. …”
    Get full text
    Article
  19. 1419

    Non-Iterative Recovery Information Procedure with Database Inspired in Hopfield Neural Networks by Cesar U. Solis, Jorge Morales, Carlos M. Montelongo

    Published 2025-04-01
    “…This algorithm is inspired by Hopfield Neural Networks (HNN), which allows the recursive reconstruction of an information vector through an energy-minimizing optimal process, but this paper presents a procedure that generates results in a single iteration. …”
    Get full text
    Article
  20. 1420

    Few-shot English text classification method based on graph convolutional network and prompt learning by Yunfei Jin

    Published 2025-02-01
    “…On the other hand, a manual prompt template is used to obtain a class prediction semantic vector for the [MASK] position. In the process of classification prediction, the similarity between class prediction semantic vector and class representation vector is used as classification basis. …”
    Get full text
    Article