Results 231 to 240 of about 43,961 (294)

AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography. [PDF]

Entropy (Basel)
Fan H, Jin C, Li M.
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

A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning Integration

Rare Metals, EarlyView.
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu, Zhe Jia, Baolong Shen   +2 more
wiley   +1 more source

Personal health data protection and intelligent healthcare applications under generative adversarial network. [PDF]

Sci Rep
Gao X, Mi W, Feng X.
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

Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection. [PDF]

Research (Wash D C)
Xu D, Cao B.
europepmc   +1 more source

Data Augmentation of Breast Ultrasound Images Using Wasserstein Generative Adversarial Networks

I Gede Susrama Mas Diyasa, Sayyidah Humairah, Eva Yulia Puspaningrum, Fara Disa Durry, Wahyu Lestari, Wahyu Caesarendra   +5 more
openalex   +2 more sources

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

A hybrid attention generative adversarial network for Chinese landscape painting. [PDF]

Sci Rep
Lyu Q, Zhao N, Sun Z, Yang Y, Zhang C, Shi R.   +5 more
europepmc   +1 more source

An Advanced Data Augmentation Method Based on Generative Adversarial Networks, for Enhancing Rare and Sensitive Smart Water Supply Data Sharing

Nan Zhang, Manuel Sebastian Fiallos-Salguero, Yang Liu, Soon‐Thiam Khu, Jia Wang   +4 more
openalex   +1 more source