Results 131 to 140 of about 13,208 (247)

MS-FSOA-LightGBM: Multi-Strategy Starfish Optimization Algorithm with LightGBM for Software Defect Prediction

open access: yesProcedia Computer Science
Raja Oueslati   +3 more
openaire   +1 more source

Dust Layer Height Leads Atmospheric Boundary Layer Height by 3 hr Over the Taklimakan Desert

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract The vertical distribution of dust modulates its radiative forcing and long‐range transport, yet the diurnal relationship between dust layer height (DLH) and atmospheric boundary layer height (ABLH) remains poorly constrained by observations.
Xingran Li   +9 more
wiley   +1 more source

Correction: Prediction of estimated glomerular filtration rate slope and kidney prognosis of patients with chronic kidney disease. [PDF]

open access: yesSci Rep
Nagasu H   +8 more
europepmc   +1 more source

A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 8, August 2026.
Abstract Background Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports‐related injuries and degenerative knee disorders. Magnetic resonance imaging (MRI) is widely used for meniscus evaluation; however, manual interpretation is time‐consuming and subject to inter‐observer variability.
Ebubekir Seyyarer   +2 more
wiley   +1 more source

Machine Learning‐Based Prediction of Poor Outcomes in Intracerebral Hemorrhage: A Systematic Review and Meta‐Analysis

open access: yesBrain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background Spontaneous intracerebral hemorrhage (ICH) is associated with high risks of mortality and disability, yet early and accurate outcome prediction remains challenging. This study systematically evaluated the performance of machine learning (ML) models in predicting key adverse outcomes (hematoma expansion [HE], poor functional outcome,
Qi Deng   +7 more
wiley   +1 more source

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

open access: yes, 2017
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineering optimizations have been adopted in these implementations, the efficiency and scalability are still unsatisfactory when the feature dimension is high and data size is large.
Guolin Ke   +7 more
openaire   +2 more sources

Real‐World Validation of the Clinical Distinctiveness of IDH‐Mutant Glioblastoma in the SEER Transition Era: A Population‐Based Study Integrating Machine Learning

open access: yesBrain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Introduction The 2021 WHO classification reclassified “IDH‐mutant glioblastoma (GBM)” as “Astrocytoma, IDH‐mutant, grade 4.” This study aims to provide real‐world validation of this reclassification using the specific ICD‐O‐3 code (9445/3) from the Surveillance, Epidemiology, and End Results (SEER) “Transition Era” (2018–2022) and develop a ...
Dewei Du   +5 more
wiley   +1 more source

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