Methodological flowchart. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Examples of tweets texts (English). حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

Users information. حسب Sylvia Iasulaitis (8301189)

"…Python algorithms were developed to model each primary collection type. …"

The Improved Hydro-Sediment Numerical Model and Machine Learning Models حسب Yuning Tan (20580932)

"…The hydro-sediment model was implemented in the C# programming language using Visual Studio, while the machine learning models were developed in Python.…"

Advancing Solar Magnetic Field Modeling حسب Carlos António (21257432)

"…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …"

High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch حسب Andrey Samokhin (20282728)

"…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. …"

Comparison data 7 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Sample data for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Sample data for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 3 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Sample data for <i>Telmatochromis temporalis</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 4 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 1 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 2 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 5 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Comparison data 6 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"

Linking Thermal Conductivity to Equations of State Using the Residual Entropy Scaling Theory حسب Zhuo Li (165589)

"…Besides, a detailed examination of the impact of the critical enhancement term on mixture calculations was conducted. To use our model easily, a software package written in Python is provided in the Supporting Information.…"

Overview of deep learning terminology. حسب Aaron E. Maxwell (8840882)

"…This paper introduces the geodl R package, which supports pixel-level classification applied to a wide range of geospatial or Earth science data that can be represented as multidimensional arrays where each channel or band holds a predictor variable. geodl is built on the torch package, which supports the implementation of DL using the R and C++ languages without the need for installing a Python/PyTorch environment. …"

Map of cumulative daily root-mean-square errors for each province in China in the test set. حسب Xiaoyi Wang (90589)