Explainable deep-learning models to predict diaphragmatic dysfunction and cognitive stress in ICU patients under mechanical ventilation. [PDF]
Front PhysiolWang Y, Bai Y, Jin G.
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Journal of Applied Polymer Science, Volume 143, Issue 25, July 5, 2026.This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
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Video-Based Arabic Sign Language Recognition with Mediapipe and Deep Learning Techniques. [PDF]
J ImagingEl-Rushaidat D +3 more
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Carbon Neutralization, Volume 5, Issue 4, July 2026.This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang +6 more
wiley +1 more source
Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM. [PDF]
Sci RepAlotaibi A, Alharbi S, Elshewey AM.
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Time Distributed Classification of Alzheimer's Disease on MRI Scans
NMR in Biomedicine, Volume 39, Issue 7, July 2026.Longitudinal MRI‐derived cortical thickness slopes improved AD/CN discrimination. A time‐distributed 3D ResNet‐101 + LSTM further captured spatiotemporal progression, reaching 96.7% accuracy and also improving MCI‐related classification. ABSTRACT The diagnosis of Alzheimer's disease (AD) has progressively depended on sophisticated neuroimaging methods ...
Mehmet Sait Dundar, Bulent Yilmaz
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Providing Universal Health Care Access to Filipinos Region-wide using Back Propagation and Recurrent Neural Networks for Finding Optimal Locations to Place Rural Health Unit Facilities in the Philippines. [PDF]
Acta Med PhilippReyes MTR, Estuar MRJE, Montalan JRE.
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GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT
SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed +4 more
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VMD-LSTM based water level prediction of aquifer in mining working face. [PDF]
Sci RepZhang G +6 more
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