Results 181 to 190 of about 24,552,576 (279)

Dynamic Bayesian network-based risk assessment for gas treatment station. [PDF]

open access: yesSci Rep
Zerrouki H   +5 more
europepmc   +1 more source

Anti‐obesity medications and incident ocular outcomes: A systematic review and network meta‐analysis

open access: yesVIEW, EarlyView.
In this systematic review and network meta‑analysis of 140 studies, anti‑obesity medications showed heterogeneous ocular safety profiles. Semaglutide was associated with higher NAION risk (observational data), whereas dual/multi‑agonists and glucagon‐like peptide‐1 receptor agonists demonstrated favourable glaucoma and overall ocular outcomes ...
Linge Jian   +5 more
wiley   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam   +3 more
wiley   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah   +4 more
wiley   +1 more source

An Improved Fast Computational Method for Vibration Characteristic Analysis of Dry‐Type Iron Core Reactor

open access: yesHigh Voltage, EarlyView.
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang   +6 more
wiley   +1 more source

Comparative Analysis of Machine Learning Algorithms for Automated Hydrophobicity Classification in Composite Insulators Using Contour Features

open access: yesHigh Voltage, EarlyView.
ABSTRACT This study presents a comparative analysis of six machine learning algorithms for automated hydrophobicity classification in composite insulators using contour‐based image features. A robust image‐processing pipeline was developed to extract statistical features from water droplet patterns on insulator surfaces, enabling objective ...
Salihu Salisu   +2 more
wiley   +1 more source

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