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time implementation » _ implementation (Expand Search), policy implementation (Expand Search), effective implementation (Expand Search)
python based » method based (Expand Search), person based (Expand Search)
python time » python files (Expand Search)
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121
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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122
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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123
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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124
Linking Thermal Conductivity to Equations of State Using the Residual Entropy Scaling Theory
Published 2024“…To use our model easily, a software package written in Python is provided in the Supporting Information.…”
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125
SpatialKNifeY analysis landscape.
Published 2025“…<p>(A) The concept of the extension from spatial omics data and spatial domain to the microenvironment. (B) Implementation of SpatialKNifeY (SKNY). A Python library of SKNY depends on stlearn [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref023" target="_blank">23</a>] and scanpy [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref009" target="_blank">9</a>] functions (see “Methods”) and AnnData object programming [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref010" target="_blank">10</a>]. …”
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126
Data and software for "Social networks affect redistribution decisions and polarization"
Published 2025“…<p dir="ltr">Data from agent based models and experiments with human participants recruited from Prolific, together with code for the models and analysis. …”
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127
Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service)
Published 2025“…Reference data are collected using TimeSync, a web-based tool that helps analysts visualize and interpret the Landsat data record from 1984-present (Cohen et al., 2010).Outputs fall into three categories: change, land cover, and land use. …”
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128
PYSEQM 2.0: Accelerated Semiempirical Excited-State Calculations on Graphical Processing Units
Published 2025“…PYSEQM is a Python-based package designed for efficient and scalable quantum chemical simulations. …”
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129
Explained variance ration of the PCA algorithm.
Published 2025“…All our simulation is performed in computation softwares, Matlab and Python. The image pre processing and spectral moments generation is performed in Matlab and the implementation of the classifiers is performed with python. …”
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130
Copy number contingency table.
Published 2025“…In summary, the PASO model suggests potential as a robust support in individualized cancer treatment. Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
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131
Gene mutation contingency table.
Published 2025“…In summary, the PASO model suggests potential as a robust support in individualized cancer treatment. Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
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132
Resistant & sensitive cell line Info on AZD5991.
Published 2025“…In summary, the PASO model suggests potential as a robust support in individualized cancer treatment. Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
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133
Resistant & sensitive drug info on COLO800.
Published 2025“…In summary, the PASO model suggests potential as a robust support in individualized cancer treatment. Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…”
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134
A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
Published 2025“…The parameterized Verilog-based design is compatible with ASIC and FPGA. QUANTISENC’s software-defined hardware design methodology allows the user to train an SNN model using Python and evaluate performance of its hardware implementation, such as area, power, latency, and throughput. …”
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135
Folder with all data and algorithms
Published 2025“…In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. …”
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136
Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b>
Published 2025“…</p><p dir="ltr">GPU:NVIDIA GeForce RTX 3090 GPU</p><p dir="ltr">Bert-base-cased pre-trained model: https://huggingface.co/google-bert/bert-base-cased</p><p dir="ltr">python=3.7,pytorch=1.9.0,cudatoolkit=11.3.1,cudnn=8.9.7.29.…”
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137
Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats
Published 2024“…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …”
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138
Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1
Published 2025“…The database also includes three averaged multi-model ensembles produced for each of the four emission scenarios:</p><p>**************************************************************************************************************************</p><p dir="ltr">The Global Aridity Index (Global-AI) and Global Reference Evapo-Transpiration (Global-ET0) datasets provided in Version 3.1 of the Global Aridity Index and Potential Evapo-Transpiration (ET0) Database (Global-AI_PET_v3.x1) provide high-resolution (30 arc-seconds) global raster data for the 1970-2000 period, related to evapotranspiration processes and rainfall deficit for potential vegetative growth, based upon implementation of the FAO-56 Penman-Monteith Reference Evapotranspiration (ET<sub>0</sub>) equation.…”
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139
face recognation with Flask
Published 2025“…Built using the <b>Flask</b> web framework (Python), this system provides a lightweight and scalable solution for implementing facial recognition capabilities in real-time or on-demand through a browser interface.…”
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140
CNG-ARCO-RADAR.pdf
Published 2025“…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …”