بدائل البحث:
effective implementation » effective prevention (توسيع البحث)
from implementing » after implementing (توسيع البحث), _ implementing (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
effective implementation » effective prevention (توسيع البحث)
from implementing » after implementing (توسيع البحث), _ implementing (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
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41
Simple implementation examples of agent AI on free energy calculation and phase-field simulation
منشور في 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.…"
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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
منشور في 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>. …"
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43
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
منشور في 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>. …"
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44
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
منشور في 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>. …"
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45
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
منشور في 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>. …"
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46
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...
منشور في 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. …"
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47
Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification
منشور في 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.…"
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48
EthoPy: Reproducible Behavioral Neuroscience Made Simple
منشور في 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. …"
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49
Graphical abstract of HCAP.
منشور في 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. …"
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50
Recall analysis.
منشور في 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. …"
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51
Convergence rate analysis.
منشور في 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. …"
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52
Computational efficiency.
منشور في 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. …"
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53
Analysis of IoMT data sources.
منشور في 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. …"
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54
Prediction accuracy on varying attack types.
منشور في 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. …"
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55
<b> </b> Precision analysis.
منشور في 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. …"
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56
Prediction accuracy analysis over time steps.
منشور في 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. …"
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57
Impact of cyberattack types on IoMT devices.
منشور في 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. …"
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Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence"
منشور في 2025"…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. …"