Search alternatives:
new implementation » _ implementation (Expand Search), model implementation (Expand Search), after implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
new implementation » _ implementation (Expand Search), model implementation (Expand Search), after implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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161
Tweets information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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162
Examples of tweets texts (Portuguese).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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163
Methodological flowchart.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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164
Number of tweets collected per query and type.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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165
Examples of tweets texts (English).
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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166
Users information.
Published 2025“…Python algorithms were developed to model each primary collection type. …”
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167
The Improved Hydro-Sediment Numerical Model and Machine Learning Models
Published 2025“…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…”
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168
Advancing Solar Magnetic Field Modeling
Published 2025“…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …”
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169
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170
Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
Published 2025“…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …”
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171
High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
Published 2025“…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …”
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172
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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173
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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174
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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175
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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176
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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177
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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178
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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179
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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180
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. …”