Search alternatives:
code representing » model representing (Expand Search), models representing (Expand Search), tpd representing (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
code representing » model representing (Expand Search), models representing (Expand Search), tpd representing (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
-
61
-
62
-
63
-
64
2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
Published 2025“…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…”
-
65
CompuCrawl: Full database and code
Published 2024“…<p><br></p><p dir="ltr">This folder contains the full set of code and data for the CompuCrawl database. The database contains the archived websites of publicly traded North American firms listed in the Compustat database between 1996 and 2020—representing 11,277 firms with 86,303 firm/year observations and 1,617,675 webpages in the final cleaned and selected set.…”
-
66
Catalogue of compact radio sources in Messier-82 from e-MERLIN observations
Published 2025“…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …”
-
67
Simple implementation examples of agent AI on free energy calculation and phase-field simulation
Published 2025“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”
-
68
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…Cs<sub>3</sub>Bi<sub>2</sub><sub>–<i>x</i></sub>Sb<sub><i>x</i></sub>Br<sub>9</sub>@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm<sup>2</sup>. …”
-
69
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…Cs<sub>3</sub>Bi<sub>2</sub><sub>–<i>x</i></sub>Sb<sub><i>x</i></sub>Br<sub>9</sub>@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm<sup>2</sup>. …”
-
70
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…Cs<sub>3</sub>Bi<sub>2</sub><sub>–<i>x</i></sub>Sb<sub><i>x</i></sub>Br<sub>9</sub>@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm<sup>2</sup>. …”
-
71
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…Cs<sub>3</sub>Bi<sub>2</sub><sub>–<i>x</i></sub>Sb<sub><i>x</i></sub>Br<sub>9</sub>@PVDF (<i>x</i> = 0.05) resulted in improved piezoelectric as well as triboelectric properties due to the formation of an enhanced electroactive β-phase of ∼91%, up from 48%. Benefiting from the doping strategies, the devices exhibited an open-circuit voltage of ∼161.2 V with a maximum power density of ∼58.37 μW/cm<sup>2</sup>. …”
-
72
A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me...
Published 2025“…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …”
-
73
Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification
Published 2025“…</li><li>Gram–Schmidt Orthonormalization: Construction of orthonormal bases from linearly independent vectors. Reconstruction error and orthonormality error are computed and compared to SciPy’s QR decomposition to ensure numerical accuracy.…”
-
74
EthoPy: Reproducible Behavioral Neuroscience Made Simple
Published 2025“…To overcome these challenges, we developed EthoPy, an open-source, Python-based behavioral control framework that integrates stimulus presentation, hardware management, and data logging. …”
-
75
PTPC-UHT bounce
Published 2025“…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …”
-
76
Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences"
Published 2025“…</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…”
-
77
Graphical abstract of HCAP.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
-
78
Recall analysis.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
-
79
Convergence rate analysis.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
-
80
Computational efficiency.
Published 2025“…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”