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effective implementation » effective prevention (Expand Search)
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
python proof » method proof (Expand Search)
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41
Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis
Published 2025“…</b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.</p><h3><b>2. …”
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42
Summary of Tourism Dataset.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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43
Segment-wise Spending Analysis.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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44
Hyperparameter Parameter Setting.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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45
Marketing Campaign Analysis.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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46
Visitor Segmentation Validation Accuracy.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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47
Integration of VAE and RNN Architecture.
Published 2025“…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …”
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48
Comparison data 7 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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49
Sample data for <i>Neolamprologus multifasciatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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50
Sample data for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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51
Comparison data 3 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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52
Sample data for <i>Telmatochromis temporalis</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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53
Comparison data 4 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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54
Comparison data 1 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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55
Comparison data 2 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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56
Comparison data 5 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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57
Comparison data 6 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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58
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59
Cathode carbon block material parameters [14].
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”
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60
Sodium concentration distribution cloud map.
Published 2025“…A random aggregate model was implemented in Python and imported into finite element software to simulate sodium diffusion using Fick’s second law. …”