The CeTI-Age-Kinematics dataset: A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults حسب Loreen Pogrzeba (19645765)

"…</p><p dir="ltr">Detailed information, visualizations of the dataset content, and explanations of algorithmic approaches are available in the linked supplements, such as in the data descriptor and supplementary information accessible here: <i>Pogrzeba, L., Muschter, E., Hanisch, S. et al. (2025). …"

Data Sheet 2_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.pdf حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Data Sheet 1_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.pdf حسب Hongxing Zhang (209372)

"…A panel of 101 machine learning algorithms was employed to screen diagnostic genes, with ROC curves used for validation. …"

Robust Multi-Model Subset Selection حسب Anthony-Alexander Christidis (6949055)

"…The <a href="https://doi.org/10.1080/10618600.2025.2596057" target="_blank">supplementary material</a> contains all theoretical proofs, additional algorithmic and computational details, and the code and data to reproduce our numerical results.…"

Data Sheet 1_Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods.docx حسب Ankita Lawarde (16544943)

"…Introduction<p>MicroRNAs (miRNAs) regulate gene expression and play an important role in carcinogenesis through complex interactions with messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Despite their established influence on tumor progression and therapeutic resistance, the application of miRNA interaction networks for tumor tissue-of-origin (TOO) classification remains underexplored.…"

<b>Psy-Tech LDEM – Volúmenes I y II: Protocolo Psicológico para Misiones Espaciales de Larga Duración (LDEM) y Entornos ICE con Aplicación del Modelo EFQM 2025</b> حسب Héctor Herrera Yuste (21145907)

الموضوعات:

Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems": 2nd... حسب Benjamin C. Bright (19657240)

"…Bright et al. (2019: https://doi.org/10.2737/RDS-2019-0015-2) contains previous field attribute data for most of the Oregon plots. Also included is R code that can merge these data with Hudak (2010, 2013) and Bright et al. (2019: https://doi.org/10.2737/RDS-2019-0015-2).…"

Data Sheet 1_Selection of suitable reference lncRNAs for gene expression analysis in Osmanthus fragrans under abiotic stresses, hormone treatments, and metal ion treatments.docx حسب Yingting Zhang (4238380)

Data Sheet 1_Diagnostic lncRNA biomarkers and immune-related ceRNA networks for osteonecrosis of the femoral head in metabolic syndrome identified by plasma RNA sequencing and mach... حسب Haoyan Sun (22172911)

Effective connectivity analysis. حسب Akke Mats Houben (21572855)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …"

Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat... حسب Mikko Strahlendorff (20458865)

"…Training gradient boosting models has been successful in predicting satellite observation-based products into the future using Numerical Weather Prediction (NWP) and Earth Observation (EO) climate data as inputs. The Copernicus Global Land Monitoring Service’s Soil Water Index (SWI) satellite-based observations from 2015 to 2023 at 10,000 locations in Europe were used as the predictand (target parameter) to train an artificial intelligence (AI) model to predict soil wetness with XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms. …"

Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control حسب Christoph G. Salzmann (1362693)

"…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…"

Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control حسب Christoph G. Salzmann (1362693)

"…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…"

Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control حسب Christoph G. Salzmann (1362693)

"…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…"

Hovering a Ping-Pong Ball: A Demonstration Setup for Teaching PID Control حسب Christoph G. Salzmann (1362693)

"…We provide a complete assembly and user guide for the PingPongPID as well as the codes for the microcontroller and the Python GUI.…"

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... حسب Zihao Tang (19794537)

"…</p><h2><b>3. Instructions for codes</b></h2><p dir="ltr">This code repository is organized into eight folders and two files:</p><h3>(1) Folder: <b>candidateIdentify</b></h3><p dir="ltr">This folder contains code related to the identification of candidate junctions or intersections from the input data. …"

The architecture of the SE-multi-input CNN model. حسب Bin Zheng (45359)

"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"

Confusion matrix for the Multi-input CNN model. حسب Bin Zheng (45359)

"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"

Confusion matrices for single-input CNN models. حسب Bin Zheng (45359)

"…The fusion strategy combines feature maps via bicubic interpolation and element-wise summation to maintain spatial integrity. …"