Chinese medical named entity recognition integrating adversarial training and feature enhancement. [PDF]
Zhang X +6 more
europepmc +1 more source
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
Adversarial training with misaligned label correction for carotid segmentation from simultaneous non-contrast angiography and intraplaque hemorrhage MRI. [PDF]
Zhang W, Lin M, Chan KL, Chen H, Chiu B.
europepmc +1 more source
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang +11 more
wiley +1 more source
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. [PDF]
Han T +10 more
europepmc +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
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
A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]
Yinusa A, Faezipour M.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
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
A SAR Ship Detection Method Based on Adversarial Training. [PDF]
Li J, Yu Z, Chen J, Jiang H.
europepmc +1 more source
Field data from multiphase pipelines are transformed into grayscale images via Image Information Encoding, preserving feature values and interparameter relationships. A GAN–CNN model generates synthetic images that are decoded to expand the original database.
Sihang Chen, Na Zhang, Biyuan Shui
wiley +1 more source

