Showing 221 - 240 results of 12,929 for search '(mean OR main) algorithm', query time: 0.18s Refine Results
  1. 221

    Two-stage Community Discovery Algorithm for Multi-point Seed Prepartition by TONG Shuai, CHEN De-yun, YANG Hai-lu

    Published 2021-08-01
    “…First,high-impact nodes in the network are identified,and high-impact nodes are aggregated using the k-means algorithm to obtain high-impact community clusters. …”
    Get full text
    Article
  2. 222
  3. 223
  4. 224

    BiModalClust: Fused Data and Neighborhood Variation for Advanced K-Means Big Data Clustering by Ravil Mussabayev, Rustam Mussabayev

    Published 2025-01-01
    “…K-means clustering is a fundamental tool in data mining, yet its scalability and efficacy decline when faced with massive datasets. …”
    Get full text
    Article
  5. 225
  6. 226
  7. 227
  8. 228

    Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks by Moh. Alfi Amal, Herlina Napitupulu, Sukono

    Published 2024-12-01
    “…The novelty of this research lies in developing an accurate computational algorithm for determining the global optima of mean-value-at-risk portfolio investments, yielding precise, consistent results with relatively fast computation times. …”
    Get full text
    Article
  9. 229
  10. 230

    Research on Rolling Bearing Fault Diagnosis Method Based on MPE and Multi-Strategy Improved Sparrow Search Algorithm Under Local Mean Decomposition by Haodong Chi, Huiyuan Chen

    Published 2025-04-01
    “…To address the issues of non-stationarity, noise interference, and insufficient discriminative power of traditional fault feature extraction methods in rolling bearing vibration signals, this paper proposes a fault diagnosis method based on multi-scale permutation entropy (MPE) and a multi-strategy improved sparrow search algorithm (MSSA) under local mean decomposition (LMD). …”
    Get full text
    Article
  11. 231

    New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm by Youngho Lim, Jaeyoung Kim, Gwantae Kim, Jungseok Choi

    Published 2025-02-01
    “…Methods A total of 48,298 pigs were grouped (A, B, C, D group) using the k-means algorithm, carcass weight and backfat thickness. …”
    Get full text
    Article
  12. 232

    Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

    Published 2025-01-01
    “…Further, the pre-processed image is given to the segmentation process, where the Adaptive Fuzzy C-Means (AFCM) technique is utilized. Meanwhile, the parameters of the AFCM algorithm complicate the cluster assignment in the presence of outliers or noise, thus resulting in reduced clustering performance. …”
    Get full text
    Article
  13. 233
  14. 234

    A Geometric Mean of Parameterized Arithmetic and Harmonic Means of Convex Functions by Sangho Kum, Yongdo Lim

    Published 2012-01-01
    “…A new algorithmic self-dual operator for convex functions named “the geometric mean of parameterized arithmetic and harmonic means of convex functions” is proposed, and its essential properties are investigated.…”
    Get full text
    Article
  15. 235

    YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

    Published 2024-12-01
    “…Experimental results demonstrate that YOLOrot2.0 achieves an mAP (mean average precision) score of 0.95, surpassing other comparative algorithms. …”
    Get full text
    Article
  16. 236
  17. 237
  18. 238

    A Clustering-based Simulated Annealing Algorithm with Taguchi Method for the Discrete Ordered Median Problem by Mustafa Serdar Toksoy

    Published 2022-02-01
    “…For that purpose, we proposed a Simulated Annealing (SA) metaheuristic with K-means Clustering Algorithm in initialization for the DOMP. …”
    Get full text
    Article
  19. 239
  20. 240

    A law of meaning by Bernhard Wälchli, Anna Sjöberg

    Published 2025-01-01
    “…This article rejects the canonical ideal of a one-to-one correspondence between meaning and marker and proposes a set-theoretical and optimality-based law for the relationship between meaning and its markers which allows for distinguishing true markers (such as not, no, never for negation) from otherwise associated items (such as negative polarity items as but, any): a meaning is expressed by the set of non-randomly recurrent markers that together are the best collocation of that meaning. …”
    Get full text
    Article