ML model for prediction of postpartum rehospitalization in pregnant women/new mothers using readily obtainable pre-pregnancy or early pregnancy sociodemographic and health determin... حسب Martin Frasch (5754731)

"…</li><li>No open-access machine learning (ML) models of risk prediction for re-hospitalization of pregnant women exist.…"

Liang et al., 2024_CEE_BrGMM_BAE: A Clustering Model for Predicting Freshwater and Halo-Alkaliphilic Bacterial Assemblages Using brGDGTs حسب Jie Liang (14213144)

"…<p dir="ltr">BrGMM_BAE is a specialized clustering model designed to predict bacterial assemblages in freshwater or halo-alkaline environments. …"

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

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

"…</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. …"

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

"…</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. …"

Oka et al., Supplementary Data for "Development of a battery emulator using deep learning model to predict the charge–discharge voltage profile of lithium-ion batteries" حسب Kanato Oka (20132185)

"…</p><p><br></p><p dir="ltr">02_lstm_reuse_pthmodel.py</p><p dir="ltr">This file is a Python script that reads the .pth file output by 01_lstm_model_making.py and predicts the voltage profile from the given current value and the integrated value of current and time (proportional to SOC). …"

Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021 حسب Jonathan D. Burnett (19659601)

"…Also included is all R code and Python code needed to run and process this model.<br>The purpose of the Western Oregon WeT DRy (WOWTDR) model is to predict a “wet” or “dry” classification for each stream reach in western Oregon for which supporting LiDAR data are available, as well as provide an estimate of certainty for that classification, in support of planning for perennial streams at multiple scales. …"

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx حسب Piyachat Udomwong (22563212)

"…On an independent blind test set, ParaDeep attained F1 = 0.723 and MCC = 0.685 for H chains, and F1 = 0.607 and MCC = 0.587 for L chains, representing a 27% MCC improvement over the sequence-based baseline Parapred. Chain-specific modeling revealed that heavy chains provide stronger sequence-based predictive signals, while light chains benefit more from structural context. …"

Spatiotemporal distribution of leptospirosis in Thailand (2007–2022). حسب Pikkanet Suttirat (13567965)

Annual rainfall map of Jiangxi Province. حسب Qun Zhao (603175)

Distance from target watershed (Shi Shi as the example) to all selected stations. حسب Qun Zhao (603175)

Vegetation coverage over the surrounding area of Jiangxi Province. حسب Qun Zhao (603175)

Selected source basins used in the transfer learning (in red triangles) after filtering out stations with missing data. حسب Qun Zhao (603175)

Digital elevation map of Jiangxi Province. حسب Qun Zhao (603175)

Data Sheet 1_Correlation between oxygenation function and laboratory indicators in COVID-19 patients based on non-enhanced chest CT images and construction of an artificial intelli... حسب Weiheng Kong (15372681)

"…Objective<p>By extracting early chest CT radiomic features of COVID-19 patients, we explored their correlation with laboratory indicators and oxygenation index (PaO₂/FiO₂), thereby developed an Artificial Intelligence (AI) model based on radiomic features to predict the deterioration of oxygenation function in COVID-19 patients.…"

The infrared thermal imager captures the schematic diagram and infrared image of the envelope structure. حسب Jianwei Yue (9712465)

Analysis Codes for "Gene Signatures Predict Metastatic Organotropism in Breast Cancer: A Machine Learning Analysis of Single-Cell Data" حسب Ardo Sanjaya (18321300)

"…<p dir="ltr">This repository contains the complete set of R and Python scripts developed for the study <i>"Gene Signatures Predict Metastatic Organotropism in Breast Cancer: A Machine Learning Analysis of Single-Cell Data."…"

af3cli: Streamlining AlphaFold3 Input Preparation حسب Philipp Döpner (21028454)

"…With the release of AlphaFold3, modeling capabilities have expanded beyond protein structure prediction to embrace the inherent complexity of biomolecular systems, including nucleic acids, ions, small molecules, and their interactions. …"

List of abbreviations. حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"

Heat map of the correlation of features. حسب Jingru Dong (14076094)

"…A risk prediction model was constructed based on four algorithms: Random Forest, XGBoost, Logistic Regression, and SVM. …"