Results 251 to 260 of about 134,465 (305)

Synthetic electroretinogram signal generation using a conditional generative adversarial network. [PDF]

Doc Ophthalmol
Kulyabin M, Zhdanov A, Lee IO, Skuse DH, Thompson DA, Maier A, Constable PA.   +6 more
europepmc   +1 more source

Six artificial intelligence innovation strategies applied to autism spectrum disorder research: A narrative review

Pediatric Investigation, EarlyView.
Six artificial intelligence strategies advance autism research from tool optimization to paradigm shift: causal modeling, spatiotemporal networks, multimodal integration, digital twins, social cognition mapping, collaborative learning, and context‐aware interventions for precision care.
Ting Zhang, Zhenkun Cao, Wei Li, Zhihai Lv   +3 more
wiley   +1 more source

USSGAN: Unsupervised Spectral and Spatial Attention-Based Generative Adversarial Network for Cholangiocarcinoma Detection. [PDF]

Chem Biomed Imaging
Kumar SS, Deshpande A, Nair PA, Aala S, Chinnadurai S, Dodda VC, Muniraj I, Sarker MAL, Mostafa H.   +8 more
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Map geographic information road extraction method based on generative adversarial network and U-Net. [PDF]

Sci Rep
Liu G, He H, Gao Y, Zhang G, Cao T.
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Inverse design of periodic cavities in anechoic coatings with gradient changes of radii and distances via a conditional generative adversarial network. [PDF]

Sci Rep
Sun Y, Fu J, Wu Y, Chen J, Tao M.
europepmc   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Deeply supervised two stage generative adversarial network for stain normalization. [PDF]

Sci Rep
Du Z, Zhang P, Huang X, Hu Z, Yang G, Xi M, Liu D.   +6 more
europepmc   +1 more source

Generative Design of Plantscape Based on Generative Adversarial Network: A Case Study of the Generation of Flower Border Plan

Feng Lu, Chenwen Yu, Yuting SUN, Jing Zhao   +3 more
openalex   +1 more source