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

"…The model results are saved in <code>1point2dem/SampleGeneration/result</code>, and the results for <b>Table 3</b> in the paper are derived from this output.</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …"

Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif حسب Xiaobing Li (291454)

"…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …"

Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif حسب Xiaobing Li (291454)

"…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …"

Code and data for reproducing the results in the original paper of DML-Geo حسب Pengfei CHEN (8059976)

"…</p><p dir="ltr"><b>rslt.pkl</b>: A pickled Python object that stores the explainer based on geoshapley for dataset 1.…"

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. …"

SpatialKNifeY analysis landscape. حسب Shunsuke A. Sakai (13789939)

"…(B) Implementation of SpatialKNifeY (SKNY). A Python library of SKNY depends on stlearn [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref023" target="_blank">23</a>] and scanpy [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref009" target="_blank">9</a>] functions (see “Methods”) and AnnData object programming [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012854#pcbi.1012854.ref010" target="_blank">10</a>]. …"

OHID-FF dataset for forest fire detection and classification حسب xin chen (20496938)

"…</p><p dir="ltr">- For binary classification experiments with the included scripts:</p><p dir="ltr">```bash</p><p dir="ltr">python "train val scripts/main.py"</p><p>```</p><p dir="ltr"><br></p><p dir="ltr">Results and logs from training runs are saved under `results/` (see the scripts folder README for details).…"

Table 3_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

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

"…GUI, pre/post-processing) is available upon request from the authors and is not included here.</i></li></ul></li><li><b>README.txt</b> – detailed file explanations and usage instructions</li></ul><p dir="ltr">The full statistical analysis and visualization pipeline is implemented in R and hosted on GitHub:<br>https://github.com/Birdy332/Automatic-fish-scale-analysis-r-scripts</p><p dir="ltr"><br></p><p dir="ltr">All figures shown in the manuscript can be reproduced using these scripts and the datasets provided here.…"

Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

Data Sheet 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

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

"…The labeling of emotion datasets has changed from discrete to continuous. It plays an important role in the subtle research of emotions in fields such as emotional computing, human-computer alignment, humanoid robots, and psychology.…"

Advancing Solar Magnetic Field Modeling حسب Carlos António (21257432)

"…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …"

“Genie Replication Package: Resolution of Kryptos K4 via Berlin Clock Route and Substitution Funnel” حسب Alan Glanz (22109698)

"…</li></ul></li></ol><h3>Contributions</h3><ul><li>Provides a <b>self-contained Python package</b> enabling independent replication and stress-testing of the solution.…"

kececilayout حسب Mehmet Keçeci (14301782)

"…<p dir="ltr"><b>Kececi Layout (Keçeci Yerleşimi)</b>: A deterministic graph layout algorithm designed for visualizing linear or sequential structures with a characteristic "zig-zag" or "serpentine" pattern.</p><p dir="ltr"><i>Python implementation of the Keçeci layout algorithm for graph visualization.…"

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

"…Models like Logistic Regression, Random Forest, Ensemble Models, CNNs, and LSTMs are implemented to detect patterns from behavioral data.…"

<b>Altered cognitive processes shape tactile perception in autism.</b> (data) حسب Ourania Semelidou (19178362)

"…</p><p dir="ltr">The perceptual decision-making data were collected from 5 different cohorts of mice at different time-points during their active phase of the day. …"

Code حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"

Core data حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"