Prediction model for compressive strength of alkali-activated multi-source solid-waste grouting materials based on generative adversarial networks and machine learning. [PDF]
PLoS OneYue Q +6 more
europepmc +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
Heat Transfer, EarlyView.ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
Enhancing multi-component alloy composition prediction based on generative adversarial networks and proximal policy optimization. [PDF]
Sci RepZhang SL, Bai SB, Shang WJ, Liu Q, Yu P.
europepmc +1 more source
Artificial intelligence and liquidation: Reality, destiny and fantasy
International Insolvency Review, EarlyView.Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
Construction of a small-sample brain imaging data augmentation and explainable diagnostic model for autism based on generative adversarial networks. [PDF]
BMC Med ImagingXu W.
europepmc +1 more source
Generative adversarial networks and hyperparameter-optimized XGBoost for enhanced heart disease prediction. [PDF]
Sci RepBegum SS +5 more
europepmc +1 more source
Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review
Journal of Medical Radiation Sciences, EarlyView.Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad +5 more
wiley +1 more source
Mutual information maximizing quantum generative adversarial networks. [PDF]
Sci RepLee M, Shin M, Lee J, Jeong K.
europepmc +1 more source
Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction
Journal of Raman Spectroscopy, EarlyView.An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho +2 more
wiley +1 more source
Neural architecture search using network embedding and generative adversarial networks. [PDF]
Sci RepYousefi M, Mehrdad V, Dowlatshahi MB.
europepmc +1 more source