One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

A new fast filtering algorithm for a 3D point cloud based on RGB-D information حسب Chaochuan Jia (7256237)

Timeline of the decision-making process regarding antimicrobial therapy in ICU. حسب Davide Ferrari (163517)

Learning curve for the three carbon sources. حسب Manish Pant (13932201)

"…<div><p>The laboratory-scale (<i>in-vitro</i>) microbial fermentation based on screening of process parameters (factors) and statistical validation of parameters (responses) using regression analysis. …"

A schematic view of the step-by-step computational approach in the current study. حسب Hamed Rezaei (11085366)

Adsorption Prediction in Porous Media Through Active Machine Learning and Advanced Molecular Simulations: From Diverse Gas Mixtures to Water Vapor Separation حسب Krishnendu Mukherjee (21715880)

"…In this direction, molecular simulations have proven to be an excellent tool to model such systems, besides laboratory-based studies. However, such simulations need many hours to weeks of computational time. …"

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

"…<i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …"

Data_Sheet_1_An interpretable machine learning model for stroke recurrence in patients with symptomatic intracranial atherosclerotic arterial stenosis.docx حسب Yu Gao (69071)

The criteria for study inclusion. حسب Mohsen Askar (19475967)

"…ML algorithms commonly outperformed traditional regression techniques. …"

A PRISMA flowchart of studies inclusion. حسب Mohsen Askar (19475967)

"…ML algorithms commonly outperformed traditional regression techniques. …"

Investigation of the compactability of pervious concrete and its impact on porosity and compressive strength حسب Daniel Niruban Subramaniam (20900472)

"…The Analysis-of-Variance and classification techniques, quadratic discriminant analysis and the Boosted Forest algorithm classified two groups of specimens based on five performance parameters with 94% accuracy. …"

Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... حسب Uttam Khatri (12689072)

"…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …"

Global hotspots for soil nature conservation - survey dataset + supporting code حسب Carlos Guerra (5999879)

"…Forest-based regressions were trained based on 90% of the dataset, the remaining 10% of the dataset were used for validation purposes. …"

<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)

"…Additionally, 3,735 digital images at the leaf level were taken. Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …"