Results 191 to 200 of about 3,042,897 (294)

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Synthetic Seismic Accelerogram Generation via Wavelet- Decomposed Conditional Generative Adversarial Networks. [PDF]

Sensors (Basel)
Rocca A, Laura L, Parrillo M.
europepmc   +1 more source

The Role of Trade Unions in Environmental Governance: Exploring Workers Legitimacy Judgments

Environmental Policy and Governance, EarlyView.
ABSTRACT Trade unions are increasingly expected to play a role in sustainability transitions, but their legitimacy as environmental governance actors remains underexplored. Our study uses a multidimensional framework to examine how workers, both union members and non‐members, evaluate trade union legitimacy “from below.” This framework distinguishes ...
Urša Golob, Branko Bembič, Klement Podnar   +2 more
wiley   +1 more source

Causality-Preserving Generative Adversarial Networks for the Diagnosis of Neurological Disorders. [PDF]

IET Syst Biol
Ren J, Zhang W.
europepmc   +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, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Generative adversarial networks for high-fidelity 3D point cloud completion. [PDF]

Sci Rep
Zhao D, Mao S, Shao J, Huang H.
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, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

GAN-PD: generative adversarial networks for fabric defect generation towards precise detection. [PDF]

Sci Rep
Xia Y, Yin Y, Luan F, Liu J, Yang J.
europepmc   +1 more source

Generative Adversarial Networks for Synthetic Cell Imaging

Generative Adversarial Networks for Synthetic Cell Imaging discusses the topic of Generative Adversarial Networks (GAN) used for cell image generation. The thesis proposes a solution for the need of cell image data for medical research. With the use of a
Hammoud, Haidar
core  

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

Energy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan, Manwen Tian, Didar Yedilkhan, Nurkhat Zhakiyev, Aigul Adamova, Ardashir Mohammadzadeh   +5 more
wiley   +1 more source