Generative Adversarial Networks for Modeling Bio-Electric Fields in Medicine: A Review of EEG, ECG, EMG, and EOG Applications. [PDF]
Bioengineering (Basel)Liang J +6 more
europepmc +1 more source
Adversarial Machine Learning Attacks on Automatic Number Plate Recognition Systems
Alvaro de Castro
openalex +1 more source
Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives
PROTEOMICS, EarlyView.ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto +2 more
wiley +1 more source
Detecting freebooted content in social media ads: multimodal provenance and e-commerce implications. [PDF]
Front Artif IntellWeinlich P, Semeradova T.
europepmc +1 more source
A METHOD OF COUNTERING ADVERSARIAL ATTACKS ON IMAGE CLASSIFICATION SYSTEMS
И.А. Котенко +4 more
openalex +1 more source
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
Collaborative penetration testing suite for emerging generative AI algorithms. [PDF]
Appl Intell (Dordr)Radanliev P.
europepmc +1 more source
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 +2 more
wiley +1 more source
SSEL: spike-based structural entropic learning for spiking graph neural networks. [PDF]
Front NeurosciYang S, Wu Y, Chen B.
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 +6 more
wiley +1 more source