Results 51 to 60 of about 40,659 (206)

Decision Tree to Guide Chronic Kidney Disease Patients at Incipient Stage

open access: yesApplied Medical Informatics, 2023
Background: The etiologies of kidney disease are sequential and interlinked. They are known as disease markers. The Decision Tree representing initial symptoms needs to be popularized to seek prophylactic measures and educate the community health workers.
Krupanidhi SREERAMA
doaj  

Predicting Slope Stability Failure through Machine Learning Paradigms

open access: yesISPRS International Journal of Geo-Information, 2019
In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression (GPR), multiple linear regression ...
Dieu Tien Bui   +4 more
doaj   +1 more source

An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage [PDF]

open access: yes, 2014
The results from most machine learning experiments are used for a specific purpose and then discarded. This results in a significant loss of information and requires rerunning experiments to compare learning algorithms.
Giraud-Carrier, Christophe   +3 more
core  

In Vivo Chemical Reprogramming Is Associated With a Toxic Accumulation of Lipid Droplets Hindering Rejuvenation

open access: yesAging Cell, Volume 25, Issue 2, February 2026.
Partial chemical reprogramming significantly increases mitochondrial interaction networks, affects mitochondrial morphology, speeds up mitochondrial movement dynamics, increases mitochondrial transmembrane potential, and induces TCA cycle stress. These changes in mitochondrial function contribute to lipid droplet accumulation, acute kidney injury, and ...
Wayne Mitchell   +9 more
wiley   +1 more source

Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset

open access: yesРадіоелектронні і комп'ютерні системи
Breast cancer is a significant threat because it is the most frequently diagnosed form of cancer and one of the leading causes of mortality among women.
Gennady Chuiko, Denys Honcharov
doaj   +1 more source

Identifying Fake News using Emotion Analysis [PDF]

open access: yes, 2019
This paper presents research applying Emotional Analysis to “Fake News” and “Real News” articles to investigate whether or not there is a difference in the emotion used in these two types of news articles. The paper reports on a dataset for Fake and Real
Gilleran, Brady
core   +2 more sources

Machine Learning‐Aided Spatial Adaptation for Improved Digital Image Correlation Analysis of Complex Geometries

open access: yesStrain, Volume 62, Issue 1, February 2026.
ABSTRACT Digital image correlation (DIC) is a widely used experimental technique for measuring full‐field deformation, but its application to complex scenarios involving large deformations, discontinuities, or intricate geometries is often hampered by the need for manual region of interest (ROI) definition.
Jeffrey Leu   +5 more
wiley   +1 more source

Decision Tree Classifiers for Star/Galaxy Separation

open access: yes, 2010
We study the star/galaxy classification efficiency of 13 different decision tree algorithms applied to photometric objects in the Sloan Digital Sky Survey Data Release Seven (SDSS DR7). Each algorithm is defined by a set of parameters which, when varied,
Abazajian   +39 more
core   +1 more source

A Minimally Invasive Framework Reveals Region‐Specific Cerebrovascular Remodeling in Aging Using Intravital Functional Ultrasound Imaging and Ultrasound Localization Microscopy (fUS‐ULM)

open access: yesAdvanced Science, Volume 13, Issue 1, 5 January 2026.
A high‐resolution intravital imaging platform combining functional ultrasound and localization microscopy enables longitudinal, minimally invasive assessment of cerebrovascular function in aging studies. The present investigation reveals aging‐related reductions in neurovascular coupling, arteriole‐to‐venule ratio and vascular density, introducing a ...
Sharon Negri   +16 more
wiley   +1 more source

Machine Learning in Proof General: Interfacing Interfaces [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2013
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs ...
Ekaterina Komendantskaya   +2 more
doaj   +1 more source

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