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

“…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…”

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

“…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…”

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

“…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…”

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

“…The web application and usage instructions are available at <a href="http://tiba.inf.uni-konstanz.de" target="_blank">tiba.inf.uni-konstanz.de</a>. The source code is publicly available on GitHub: <a href="http://github.com/LSI-UniKonstanz/tiba" target="_blank">github.com/LSI-UniKonstanz/tiba</a>.…”

Overview of the proposed improvements to the YOLO11 model. by Beigeng Zhao (21637197)

Robust Multi-Model Subset Selection by Anthony-Alexander Christidis (6949055)

“…The <a href="https://doi.org/10.1080/10618600.2025.2596057" target="_blank">supplementary material</a> contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.…”

Entry Point byte frequency by Paul A. Gagniuc (1818325)

Parameters used in simulation and their values. by Emad S. Hassan (17775798)

“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”

Summary of related work. by Emad S. Hassan (17775798)

“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”

Smart irrigation based WSN system model. by Emad S. Hassan (17775798)

“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”

Figure data. by Emad S. Hassan (17775798)

“…By exploiting the channel’s frequency selectivity, the power allocation algorithms adjust the modulation type and power distribution for each sub-carrier dynamically. …”

MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

Flow chart of the AWGE-ESPCA model. by Rui Miao (1592461)

Feature selection, Random Forest, and SEM workflow for simulated stand dataset by yang guo (22176595)

“…The R script demonstrates the following steps:</p><ol><li>Feature selection with the Boruta algorithm</li><li>Random Forest modeling with cross-validation and stepwise variable elimination</li><li>Multicollinearity diagnostics using VIF</li><li>Structural Equation Modeling (SEM) and effect decomposition with <code>piecewiseSEM</code> and <code>semEff</code><b>Notes</b></li><li>The dataset is simulated for reproducibility and does not include raw inventory data.…”

BABAPPA GUI: A Codeml-Centered Positive Selection Analysis Software by Krishnendu Sinha (22324114)

“…<p dir="ltr"><b>Abstract</b><br>BABAPPA GUI is a user-friendly graphical front end for a Codeml-dependent positive selection analysis pipeline. It packages three analysis workflows (<code>clip</code>, <code>clipgard</code>, and <code>normal</code>) that wrap alignment QC, tree inference, site- and branch-model Codeml runs, multiple test corrections and result aggregation. …”

Experimental setup. by Hui Yang (91136)

Depth division situation. by Hui Yang (91136)

The division of CTU in polar regions. by Hui Yang (91136)

Minimal data set definition. by Hui Yang (91136)

CU segmentation process. by Hui Yang (91136)