Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b> حسب Zhou (20184816)

"…</p><p dir="ltr">GPU：NVIDIA GeForce RTX 3090 GPU</p><p dir="ltr">Bert-base-cased pre-trained model: https://huggingface.co/google-bert/bert-base-cased</p><p dir="ltr">python=3.7，pytorch=1.9.0，cudatoolkit=11.3.1，cudnn=8.9.7.29.…"

The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) حسب zixuan yuan (17602152)

"…</p><h3><b>Installation</b></h3><h4><b>install Dependencies</b></h4><p dir="ltr">Our artifact depends on several packages, please run the following command to install all necessary dependencies.</p><pre><pre>sudo apt-get install -y wget git build-essential python3 python python-pip python3-pip tmux cmake libtool libtool-bin automake autoconf autotools-dev m4 autopoint libboost-dev help2man gnulib bison flex texinfo zlib1g-dev libexpat1-dev libfreetype6 libfreetype6-dev libbz2-dev liblzo2-dev libtinfo-dev libssl-dev pkg-config libswscale-dev libarchive-dev liblzma-dev liblz4-dev doxygen libncurses5 vim intltool gcc-multilib sudo --fix-missing<br></pre></pre><pre><pre>pip install numpy && pip3 install numpy && pip3 install sysv_ipc<br></pre></pre><h4><b>Download the Code</b></h4><p dir="ltr">Download <b>DD4AV</b> from the Figshare website to your local machine and navigate to the project directory:</p><pre><pre>cd DD4AV<br></pre></pre><h4><b>Configure Environment and Install the Tool</b></h4><p dir="ltr">For convenience, we provide shell scripts to automate the installation process. …"

Artifact for the IJCAI 2024 paper "Solving Long-run Average Reward Robust MDPs via Stochastic Games" حسب Krishnendu Chatterjee (15367413)

"…</p><h2>Dependencies</h2><p dir="ltr">In order to run the code the following dependencies must be met:</p><pre><pre>- Python 3 should be installed. We used Python 3.9 to obtain the results in the paper. …"

<b>Data Availability</b> حسب Bonyad Ahmadi (20750327)

"…</p><p dir="ltr">python scripts documenting the implementation of the Mixture Density Network (MDN) algorithm, including hyperparameter tuning and uncertainty quantification.…"

<b>Data Availability</b> حسب Bonyad Ahmadi (20750327)

"…</p><p dir="ltr">python scripts documenting the implementation of the Mixture Density Network (MDN) algorithm, including hyperparameter tuning and uncertainty quantification.…"

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

"…The proposed DIDS-BRBPNN-BBWOA-IoT method is implemented using Python. The performance of the DIDS-BRBPNN-BBWOA-IoT approach is examined using performance metrics like accuracy, precision, recall, f1-score, specificity, error rate; computation time, and ROC. …"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…<br><br><b>Missing-Data Handling & Imputation:</b></p><p dir="ltr">The following sequential steps were applied to create a complete and consistent daily time series suitable for analysis (presented in the Imputed_AP_Data_Zurich_2010-25 sheet), particularly addressing the absence of routine PM₂.₅ measurements prior to January 2016. The full implementation is detailed in the accompanying Python script (Imputation_Air_Pollutants_NABEL.py). …"

<b>DeepB3Pred</b> حسب Saleh Musleh (22263718)

"…MCTD is the implementation of composition-transition and distribution, and GSFE is the implementation of graphical and statistical-based feature engineering.…"

DeepB3Pred - code حسب Saleh Musleh (22263718)

"…MCTD is the implementation of composition-transition and distribution, and GSFE is the implementation of graphical and statistical-based feature engineering.…"

DeepB3Pred_source_code حسب Muhammad Arif (17012472)

"…Testing dataset TS_BB includes BBB_pos and BBB_neg testing samples</p><p dir="ltr">**Feature_Extraction: CPSR is the implementation of component protein sequence representation. mctd is the implementation of composition-transition and distribution, GSFE is the implementation of Graphical and statistical-based feature engineering.…"

SEPARATE Code Repository حسب Gyuri Kim (21424973)

"…<p dir="ltr">Python implementation of the SEPARATE, which enables three-dimensional multiplexed fluorescence imaging by pairing proteins based on their spatial expression patterns and computationally unmixing signals using deep learning.…"

NanoDB: Research Activity Data Management System حسب Lorenci Gjurgjaj (19702207)

"…<p dir="ltr">NanoDB is a Python-based application developed to optimize the management of experimental data in research settings. …"

IGD-cyberbullying-detection-AI حسب Bryan James (19921044)

"…The following datasets are included:</p><h3>Cyberbullying Datasets:</h3><ul><li><code>aggression_parsed_dataset.csv</code></li><li><code>attack_parsed_dataset.csv</code></li><li><code>kaggle_parsed_dataset.csv</code></li><li><code>toxicity_parsed_dataset.csv</code></li><li><code>twitter_parsed_dataset.csv</code></li><li><code>twitter_racism_parsed_dataset.csv</code></li><li><code>twitter_sexism_parsed_dataset.csv</code></li><li><code>youtube_parsed_dataset.csv</code></li></ul><h3>IGD Dataset:</h3><ul><li><code>GamingStudy_data.csv</code> (This is the dataset used for predicting Internet Gaming Disorder based on user behavior data.)</li></ul><h2>Installation</h2><ol><li>Clone the repository:<pre>git clone https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI<br>cd IGD-cyberbullying-detection-AI</pre></li><li>Install the required dependencies:<pre>pip install -r requirements.txt</pre></li></ol><h2>Running the Code</h2><ol><li><b>Cyberbullying Prediction</b>:</li><li><ul><li>Open the <code>Cyberbullying.ipynb</code> notebook and run the cells in order to train and evaluate the deep learning models on the provided datasets.…"

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

"…<p dir="ltr">This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br></p><p dir="ltr">It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.…"

Supplementary Material حسب Aris Shahbazian (22464325)

"…The supplementary material includes the full Python-based implementation of the AI-driven optimization framework described in the manuscript. …"

A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture حسب Nagarajan Kandasamy (8400168)

"…The parameterized Verilog-based design is compatible with ASIC and FPGA. QUANTISENC’s software-defined hardware design methodology allows the user to train an SNN model using Python and evaluate performance of its hardware implementation, such as area, power, latency, and throughput. …"

Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018) حسب ChenXi Zhu (21374876)

"…</p><p dir="ltr">The dataset includes the following files:</p><p dir="ltr">A CSV file containing the mean annual values of the dependent variable (habitat quality) and the independent variables across China from 1990 to 2018, based on the data listed in Table 1.</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…"

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

"…In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. …"

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"

Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks حسب NORLIZA BINTI MOHAMED (20739875)

"…Raw and Processed Data</p> <p><br></p> <p>EEG brainwave recordings (raw and preprocessed signals)</p> <p><br></p> <p>Neurofeedback score datasets ( Neuron-Spectrum.NET )</p> <p><br></p> <p>Statistical analysis data (e.g., SPSS, MATLAB, or Python files)</p> <p><br></p> <p>Cognitive achievement test scores and student performance data</p> <p><br></p> <p><br></p> <p><br></p> <p>2. …"