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

الموضوعات:

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

الموضوعات:

Replication Package: Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction حسب Md Nadim (17811941)

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research حسب Temitope Omogbene (18615415)

"…</li><li><b>Dataset 1D (highlighted_full_data_with_predictions.xlsx):</b> The complete harmonised dataset automatically classified using the trained XGBoost model.…"

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease حسب Zhuoyan Chen (12193358)

"…However, no clinically applicable model currently exists to predict the response of patients with CD to IFX therapy. …"

BGC-Prophet حسب Haohong Zhang (17911673)

"…/output/ --name split --threads 10</code></pre><p dir="ltr"><b>4. Gene Prediction</b></p><p dir="ltr">Detect BGC genes using a trained model:</p><pre><code>bgc_prophet predict --datasetPath .…"

Data features examined for potential biases. حسب Harry Hochheiser (3413396)

"…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…"

Analysis topics. حسب Harry Hochheiser (3413396)

"…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…"

Data Sheet 1_Machine learning models integrating intracranial artery calcification to predict outcomes of mechanical thrombectomy.pdf حسب Guangzong Li (16696443)

"…The Extra Trees model demonstrated the highest predictive accuracy. …"

Table 1_Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment.docx حسب Wenwen Hu (403536)

"…</p>Conclusions<p>In our study, the LR model exhibited superior discrimination in predicting risk of mortality among patients with spontaneous SAH compared to other models. …"

Image 1_Machine learning models for mortality prediction in patients with spontaneous subarachnoid hemorrhage following ICU treatment.jpeg حسب Wenwen Hu (403536)

"…</p>Conclusions<p>In our study, the LR model exhibited superior discrimination in predicting risk of mortality among patients with spontaneous SAH compared to other models. …"

Predicted responses by intervention and genotype. حسب Deborah H. Glueck (7817717)

Data Sheet 1_Computation of domination degree-based topological indices using python and QSPR analysis of physicochemical and ADMET properties for heart disease drugs.pdf حسب Geethu Kuriachan (20865374)

"…QSPR models are developed to assess the ability of these indices to predict key properties, offering insights into their effectiveness for drug design.…"

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">2. 28pd.py: Micro-emotion detection and annotation code based on pytorch.</p><p dir="ltr">3. 55770-1.pth: Model trained on the Goemotions dataset based on the BERT model (emotion energy level intensity is a value between 0-1).…"

A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists حسب Xiangliang Zhang (19460047)

"…In the following chapters, 4 through 9, we focus on specific chemical tasks, dedicating each chapter to solving a distinct problem using these machine learning techniques, including molecular property prediction, molecular optimization, reaction outcome prediction, retrosynthesis, yield prediction and Large Language Models (LLMs) for Chemistry. …"

Melbournevirus protein structure prediction - AlphaFold3 حسب Lars Mühlberg (21524075)

"…Number of multimer predictions per model was set to 1. The heteromultimeric model of MEL_149 and MEL_368 has been predicted with the AlphaFold3 online search server. pTM and ipTM scores were extracted from .json files using R and PAE data was extracted using python 3. …"

DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF حسب Shivani V. Pawar (20355171)

"…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …"

DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF حسب Shivani V. Pawar (20355171)

"…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …"

Submit to AGU-Manuscript-Enhancing Landslide Displacement Prediction Using a Spatio-Temporal Deep Learning Model with Interpretable Features حسب Jia Wang (20526992)

"…It includes the monitoring data and model prediction results in two Excel files, along with the corresponding Python code used in the study. …"

A mean SHAP value report. حسب Alemu Birara Zemariam (17540938)

"…The performance of the predictive model was evaluated using evaluation metrics value through Python software. …"