Showing 281 - 300 results of 17,304 for search '"random"', query time: 0.08s Refine Results
  1. 281

    Electricity Theft Detection in Power Grids with Deep Learning and Random Forests by Shuan Li, Yinghua Han, Xu Yao, Song Yingchen, Jinkuan Wang, Qiang Zhao

    Published 2019-01-01
    “…In order to help utility companies solve the problems of inefficient electricity inspection and irregular power consumption, a novel hybrid convolutional neural network-random forest (CNN-RF) model for automatic electricity theft detection is presented in this paper. …”
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    Article
  2. 282

    An Analytical Solution for Predicting the Vibration-Fatigue-Life in Bimodal Random Processes by Chaoshuai Han, Yongliang Ma, Xianqiang Qu, Mindong Yang

    Published 2017-01-01
    “…Predicting the vibration-fatigue-life of engineering structures subjected to random loading is a critical issue for. Frequency methods are generally adopted to deal with this problem. …”
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    Article
  3. 283

    Application of Random Dynamic Grouping Simulation Algorithm in PE Teaching Evaluation by Haitao Hao

    Published 2021-01-01
    “…The probability ranking conclusion is an extension of the absolute form evaluation conclusion. Firstly, the random simulation evaluation model is introduced; then, the general idea of converting the traditional evaluation method to the random simulation evaluation model is analyzed; on this basis, based on the rule of “further ensuring the stability of the ranking chain on the basis of increasing the possibility of the ranking chain,” two methods of solving the probability ranking conclusion are given. …”
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  4. 284

    ROAD SIMULATION TEST RANDOM SPECRTRUM PLUS WINDOWS RECONSTRUCTION METHOD by WANG YiRong, YU JiaWei, LUAN ShiJie, ZHENG SongLin, LI YuXiao, JIN Qing

    Published 2020-01-01
    “…Using the damage editing theory,the random spectrum of road simulation test can be compiled to achieve the purpose of removing the small load and achieving the accelerated test. …”
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  5. 285

    Semi-random and semi-algebraic structural design for IRA-LDPC codes by Li PENG, Qi ZHANG, Bo WANG, Tao CHEN

    Published 2014-03-01
    “…A method of semi-random and semi-algebraic structure was presented for constructing the low-density parity-check matrix that corresponds to the information bits of the IRA codes.Compared with the existing structural LDPC codes,the distinct advantage of the presented compact structural array for information-bit-corresponding matrix is that the position coordinate of each 1 element in this matrix can be calculated by a determinate algebraic expression,which not only reduces the consumption of memory resource for the random parity-check matrix,but also provides the potential probability for designing low complexity hardware circuit of the LDPC encoder/decoder.In addition,compared with the existing practical LDPC codes in industrial standard,the presented IRA-LDPC code is also slight preponderance in the performance of simulation in bit error rate and signal noise ratio (BER-SNB).…”
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  6. 286

    Limit distribution for the k-th maxima of nonindentically distributed random variables by Arvydas Jokimaitis

    Published 2000-12-01
    “… In this paper the limit distribution for k-th maxima of independent nonidentically distributed random variables is obtained. …”
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  7. 287
  8. 288

    Information Filtering via Biased Random Walk on Coupled Social Network by Da-Cheng Nie, Zi-Ke Zhang, Qiang Dong, Chongjing Sun, Yan Fu

    Published 2014-01-01
    “…In this paper, we design a biased random walk algorithm on coupled social networks which gives recommendation results based on both social interests and users’ preference. …”
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  9. 289
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  11. 291

    Some results on the span of families of Banach valued independent, random variables by Rohan Hemasinha

    Published 1991-01-01
    Subjects: “…Banach valued random variable…”
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  12. 292

    An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters by Yue Wang, Zhijian Qiu, Xiaomei Qu

    Published 2017-01-01
    “…This paper investigates the nonlinear unscented Kalman filtering (UKF) problem for discrete nonlinear dynamic systems with random parameters. We develop an improved unscented transformation by incorporating the random parameters into the state vector to enlarge the number of sigma points. …”
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  13. 293

    Pseudo-Random Number Generators for Stochastic Computing (SC): Design and Analysis by Pilin Junsangsri, Fabrizio Lombardi

    Published 2024-01-01
    Subjects: “…Pseudo–random number generator (RNG)…”
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    Article
  14. 294

    Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure by Sanghyuk Lee, Wookje Park, Sikhang Jung

    Published 2014-01-01
    “…Research on fault detection algorithm was developed with the similarity measure and random forest algorithm. The organized algorithm was applied to unmanned aircraft vehicle (UAV) that was readied by us. …”
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  15. 295

    Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis by Paul Wighton, Tim K. Lee, Greg Mori, Harvey Lui, David I. McLean, M. Stella Atkins

    Published 2011-01-01
    “…The second model is based on conditional random fields (CRFs), where dependencies between pixels are defined using a graph structure. …”
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  16. 296

    Source-independent quantum random number generators with integrated silicon photonics by Yongqiang Du, Xin Hua, Zhengeng Zhao, Xiaoran Sun, Zhenrong Zhang, Xi Xiao, Kejin Wei

    Published 2025-01-01
    “…Abstract Random numbers play a crucial role in numerous scientific applications. …”
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  17. 297

    Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin by Ilham Kurniawan, Duwi Cahya Putri Buani, Abdussomad Abdussomad, Widya Apriliah, Rizal Amegia Saputra

    Published 2023-04-01
    “…Therefore, three machine learning classification algorithms such as, support vector machine, naive bayes and random forest, were used in this experiment. to determine recipients of Raskin assistance. …”
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  20. 300

    On strong laws of large numbers for arrays of rowwise independent random elements by Abolghassem Bozorgnia, Ronald Frank Patterson, Robert Lee Taylor

    Published 1993-01-01
    “…Let {Xnk} be an array of rowwise independent random elements in a separable Banach space of type r, 1≤r≤2. …”
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