<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b> by Pajtim Zariqi (22155799)

“…</li><li>Python/Kaggle notebooks (<code>.ipynb</code>): reproducibility pipeline for accuracy metrics and statistical analysis.…”

Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”

Probabilities of normal and various cyber attack types over time sequence. by Mohanad Faeq Ali (21354273)

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Graphical abstract of HCAP. by Mohanad Faeq Ali (21354273)

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Recall analysis. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on varying cyber attack types. by Mohanad Faeq Ali (21354273)

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Analysis of IoMT data sources. by Mohanad Faeq Ali (21354273)

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Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

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<b> </b> Precision analysis. by Mohanad Faeq Ali (21354273)

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Convergence rate analysis. by Mohanad Faeq Ali (21354273)

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Computational efficiency. by Mohanad Faeq Ali (21354273)

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FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

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Performance comparison of cyber security techniques in IoMT healthcare devices. by Mohanad Faeq Ali (21354273)

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Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

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Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

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LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

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IoMT devices and attack overview in the CICIoMT2024 dataset. by Mohanad Faeq Ali (21354273)

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The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …”