Deep Underground Science and Engineering, EarlyView.This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
On the generalization limits of quantum generative adversarial networks with pure state generators. [PDF]
Sci RepFrkatovic J +9 more
europepmc +1 more source
A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions
Eye &ENT Research, EarlyView.ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley +1 more source
Generative adversarial networks for high-fidelity 3D point cloud completion. [PDF]
Sci RepZhao D, Mao S, Shao J, Huang H.
europepmc +1 more source
Steering Industrial Decarbonisation: Explaining OECD Policy Variation
Environmental Policy and Governance, EarlyView.ABSTRACT The ongoing rise in CO2 emissions driven by energy‐intensive industries highlights the urgent need for targeted policy interventions, with national strategies playing a crucial role in the low‐carbon transition. However, the factors that shape the ambition of industrial decarbonisation policies remain poorly understood.
Ebba Minas
wiley +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Generative adversarial networks for enhanced performance prediction of square CFST members under axial tension. [PDF]
PLoS OneZhang H, Liu Y, Yan J.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 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