The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

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The process of the optimization (NSGA-Ⅱ). by Shangyang Jin (21772466)

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Antivirus system workflow by Paul A. Gagniuc (1818325)

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source code of the PyMatterSim package by Y.-C. Hu (21440990)

Effect of post-processing threshold and algorithms performance on the species composition estimation. by Valentine Fleuré (12822137)

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Performance of SiamFC_TDA algorithm and comparison algorithm on UAV123. by Yi Tao (178829)

Performance of SiamFC_TDA algorithm and comparison algorithm on TC-128. by Yi Tao (178829)

Processed data for figures. by Jin Zhang (53297)

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

Flow of data processing and preparation. by Xuan Wang (55634)

“…The gathered properties are processed using normalized techniques to convert unstructured data into structured data, which directly improves the overall prediction accuracy. …”

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

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Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

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The process of the optimization (NSGA-Ⅱ+ NLPQL). by Shangyang Jin (21772466)

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Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Performance of SiamFC_TDA algorithm and comparison algorithm on UAV20L. by Yi Tao (178829)

The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. by Reyhane Ahmadi (14857363)

DNW-VCD_Code.zip by Bo Xiong (115379)

“…The code and demo data of DNW-VCD algorithm…”

Process of facial feature extraction and recognition method based on ipca algorithm. by Lu Lin (201289)

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. …”

The data processing and analysis pipeline. by Xin Zhang (35492)