Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search)
python function » protein function (Expand Search)
low functional » new functional (Expand Search), go functional (Expand Search), from functional (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
algorithm low » algorithm flow (Expand Search), algorithm co (Expand Search), algorithm allows (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search)
python function » protein function (Expand Search)
low functional » new functional (Expand Search), go functional (Expand Search), from functional (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
algorithm low » algorithm flow (Expand Search), algorithm co (Expand Search), algorithm allows (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
-
1041
Wise-IOU regression diagram.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
-
1042
Visualization of detection results.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
-
1043
Structure diagram of the SE attention mechanism.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
-
1044
-
1045
Data.
Published 2024“…</p><p>Results</p><p>The predictive models used in this study exhibited AUC scores of 0.7671 for MQI and 0.7649 for sarcopenia, with the most successful algorithms being SVM and MLP. Key factors in predicting both conditions have been shown to be relative power, age, weight, and the 5STS. …”
-
1046
-
1047
Discordant Samples in Concordance Study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
-
1048
One variant per line data for LoD study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
-
1049
One variant per line data for precision study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
-
1050
One variant per line data for concordance study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
-
1051
One variant per line data for LoB study.
Published 2025“…After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. …”
-
1052
Citation distribution and allometric relations for the bibliographic coupling network.
Published 2025“…In Figures (a) and (d), we show that citations follow a power-law distributions for both courts and communities. In order to estimate exponent and the cutoff of the power laws, we applied the MLE algorithm described in [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0324386#pone.0324386.ref043" target="_blank">43</a>] and found and for courts, and and for communities. …”
-
1053
-
1054
Cancellation of Spectral and Spatial Crosstalk in Spectral Imaging for High-Dynamic-Range Electrophoretic Analysis of STR-PCR Products
Published 2025“…The algorithm is based on the assumption that a crosstalk matrix (i.e., point-spread functions, PSFs) consisting of all crosstalk ratios is constant regardless of the causes of both kinds of crosstalk. …”
-
1055
-
1056
Can Coarse-Grained Molecular Dynamics Simulations Predict Pharmaceutical Crystal Growth?
Published 2025“…This is followed by applying Particle Swarm Optimization (PSO), a global optimum searching algorithm, to the CG Lennard-Jones intermolecular potentials to fit the radial distribution functions of both the crystalline and melt structures. …”
-
1057
-
1058
-
1059
fNIRS signals recording procedure.
Published 2025“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
-
1060
PAM graphs of the runs in Strategy 3.
Published 2025“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”