Showing 421 - 440 results of 600 for search '(( element data algorithm ) OR ((( waste processing algorithm ) OR ( level coding algorithm ))))', query time: 0.38s Refine Results
  1. 421

    The total loss and three-component loss. by Xinpeng Yao (18882573)

    Published 2025
    “…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”
  2. 422

    Improved upsampling module based on Transformer. by Xinpeng Yao (18882573)

    Published 2025
    “…On the KITTI dataset, our algorithm achieved 3D average detection accuracy (AP3D) of 81.15%, 62.02%, and 58.68% across three difficulty levels. …”
  3. 423
  4. 424

    Design of stiffened panels for stress and buckling via topology optimization: data by Sheng Chu (19655605)

    Published 2024
    “…[figure number].xlsk</p><p>It gives the data of convergence history, i.e., Fig. 13.xlsk provides the data of convergence history curves shown in Fig. 13.…”
  5. 425

    A collection of visual features and their extremes. by Hector Torres (11708207)

    Published 2025
    “…<p>This figure illustrates different visual elements assessed by the M.E.D.V.I.S. algorithm, along with examples representing the two ends of each spectrum. …”
  6. 426
  7. 427
  8. 428
  9. 429

    Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" by Bingxian Tang (9151802)

    Published 2025
    “…<h4>This data set provides comprehensive supporting data for the thesis titled "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers." …”
  10. 430

    Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences by Sanmukh Kuppannagari (21798863)

    Published 2025
    “…<br><br>To achieve 10x-100x reduction in DNN energy consumption, a holistic approach is pursued, which encompasses: (1) new circuit designs that leverage emerging CMOS+X technologies; (2) a novel near-memory architecture in which processing elements are seamlessly integrated with traditional Dynamic RAM (DRAM); (3) novel 3D-matrix-based per-layer DNN computations and data-layout optimizations for kernel weights; and (4) algorithms and hardware/software co-design tailored for near-real-time DNN-based signal classification in next-generation wireless systems. …”
  11. 431
  12. 432
  13. 433
  14. 434

    Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone by Michael J. Pasterski (11726741)

    Published 2024
    “…We use unsupervised ML on scanning electron microscopy–electron dispersive spectroscopy (SEM-EDS) measurements to define compositional categories based on differences in elemental abundances. We then test the ability of four ML algorithmsk-nearest neighbors (KNN), recursive partitioning and regressive trees (RPART), eXtreme gradient boost (XGBoost), and random forest (RF)to classify the ToF-SIM spectra using (1) the categories assigned via SEM-EDS, (2) organic and inorganic labels assigned via SEM-EDS, and (3) the presence or absence of detectable steranes in ToF-SIMS spectra. …”
  15. 435
  16. 436

    16S rRNA sequencing raw data from a thermophilic trickle bed reactor for biogas upgrading by Getachew Birhanu Abera (20402390)

    Published 2025
    “…Mapping results were filtered such that query sequence length relative to alignment length deviated < 5 % and alignment mapping quality > 0.79. Noteworthy, for both data sets lowabundant OTUs making up < 0.01 % of the total mapped reads within each sample were disregarded as a data denoisingstep. …”
  17. 437
  18. 438

    Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”
  19. 439

    Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”
  20. 440

    Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx by Hope A. Townsend (12283067)

    Published 2024
    “…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …”