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 +3 more
wiley +1 more source
Correction: Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]
Wang H +7 more
europepmc +1 more source
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
Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]
Liu H, Qin Y, Tu D.
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
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 +6 more
wiley +1 more source
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 +13 more
wiley +1 more source
An AI-driven conceptual framework for detecting fake news and deepfake content: a systematic review. [PDF]
Moyo BV +3 more
europepmc +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Infrared and visible image fusion using GAN with fuzzy logic and Harris Hawks optimization. [PDF]
Zarimeidani M +4 more
europepmc +1 more source
Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]
Zhu H, Wang Z, Xie Y, Yao J.
europepmc +1 more source

