Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
waste processing » data processing (Expand Search), wood processing (Expand Search), image processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
waste processing » data processing (Expand Search), wood processing (Expand Search), image processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
-
421
The total loss and three-component loss.
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. …”
-
422
Improved upsampling module based on Transformer.
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. …”
-
423
-
424
Design of stiffened panels for stress and buckling via topology optimization: data
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.…”
-
425
A collection of visual features and their extremes.
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. …”
-
426
-
427
-
428
-
429
Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers"
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." …”
-
430
Collaborative Research: SCIPE: Interdisciplinary Research Support Community for Artificial Intelligence and Data Sciences
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. …”
-
431
-
432
-
433
-
434
Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone
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 algorithmsk-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. …”
-
435
-
436
16S rRNA sequencing raw data from a thermophilic trickle bed reactor for biogas upgrading
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. …”
-
437
-
438
Table 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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. …”
-
439
Table 2_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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. …”
-
440
Table 9_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.xlsx
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. …”