The SCOPer algorithm can be run efficiently on multiple cores. حسب Nima Nouri (2183760)

Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" حسب Pengfei Wu (11627371)

"…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …"

Table_1_Validation and comparison of the coding algorithms to identify people with migraine using Japanese claims data.DOCX حسب Kentaro Yamato (17453724)

Table_3_Validation and comparison of the coding algorithms to identify people with migraine using Japanese claims data.DOCX حسب Kentaro Yamato (17453724)

Table_2_Validation and comparison of the coding algorithms to identify people with migraine using Japanese claims data.DOCX حسب Kentaro Yamato (17453724)

Results of probabilistic algorithm on IgG repertoire data. حسب Cosimo Lupo (12733854)

ZM deep convection code structure. حسب Yongfei Wang (608480)

"…These algorithms are implemented using CUDA C and compared against a single Kunpeng-920 (Dual Socket) CPU core and the OpenMP version on multi-core CPUs. …"

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) حسب Robert Zomer (12796235)

All MATLAB code and output files used to generate the results of this manuscript. حسب Matthew P. Adams (7339883)

الموضوعات:

Data sets and algorithm code حسب AOBEI ZHANG (17657703)

G R code algorithm. حسب R. Sakthivel (2589547)

"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"

IbM code graphical description حسب Irina Ofiteru (14716360)

Algoritmo de detección de odio en español (Algorithm for detection of hate speech in Spanish) حسب Elias Said-Hung (10790310)

"…</li></ul><h2>Training Process</h2><h3>Pre-workout</h3><ul><li>Batch size: 16</li><li>Epochs: 5</li><li>Learning rate: 2e-5 with 10% warmup steps</li><li>Early stopping with patience=2</li></ul><h3>Fine-tuning</h3><ul><li>Batch size: 128</li><li>Epochs: 5</li><li>Learning rate: 2e-5 with 10% warmup steps</li><li>Early stopping with patience=2</li><li>Custom metrics:</li><li>Recall for non-hate class</li><li>Precision for hate class</li><li>F1-score (weighted)</li><li>AUC-PR</li><li>Recall at precision=0.9 (non-hate)</li><li>Precision at recall=0.9 (hate)</li></ul><h2>Evaluation Metrics</h2><p dir="ltr">The model is evaluated using:</p><ul><li>Macro recall, precision, and F1-score</li><li>One-vs-Rest AUC</li><li>Accuracy</li><li>Metrics by class</li><li>Confusion matrix</li></ul><h2>Requirements</h2><p dir="ltr">The following Python packages are required (see requirements.txt for the full list):</p><ul><li>TensorFlow</li><li>Transformers</li><li>scikit-learn</li><li>pandas</li><li>datasets</li><li>matplotlib</li><li>seaborn</li></ul><h2>Usage</h2><p dir="ltr">The model expects input data with the following specifications:</p><ol><li><b>Data Format</b>:</li></ol><ul><li>CSV file or Pandas DataFrame</li><li>Mandatory column name: <code>text</code> (type string)</li><li>Optional column name: <code>label</code> (type integer, 0 or 1) if available for evaluation</li></ul><ol><li><b>Text Preprocessing</b>:</li></ol><ul><li>Text will be automatically converted to lowercase during processing</li><li>Maximum length: 128 tokens (longer texts will be truncated)</li><li>Special characters, URLs, and emojis must remain in the text (the tokenizer handles these)</li></ul><ol><li><b>Label Encoding</b>:</li></ol><ul><li><code>0</code> = No hateful content (including neutral/positive content)</li><li>1 = Hate speech</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at:Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …"

Algorithmic code and original data.zip حسب Weidong Jiang (17122639)

"…The authors have attached the raw data and algorithm code in the zip file. The running of the model is supported by packages like Numpy, Matplotlib, Searborn, Scipy in Python.…"

Comparison of three algorithms based on the “new” version. حسب Yan Pan (5477)

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

Coding rate of coding set constructed by EORS algorithm. حسب Li Xiaoru (11204874)

الموضوعات:

Maple code for algorithm 3. حسب Peter Thompson (165468)

Pseudo-code of ABC algorithm. حسب Jianpeng Zhang (528185)

Code and data. حسب Shangyang Jin (21772466)