Results 201 to 210 of about 128,746 (262)

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, Samaneh Ghadami, Kristen Dellinger   +2 more
wiley   +1 more source

Enhancing art creation through AI-based generative adversarial networks in educational auxiliary system. [PDF]

Sci Rep
He Y, Zhang S.
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

Task-guided generative adversarial networks for synthesizing and augmenting structural connectivity matrices for connectivity-based prediction. [PDF]

Netw Neurosci
Yamamoto T, Sugiura T, Hiroyasu T, Hiwa S.   +3 more
europepmc   +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

Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]

Front Plant Sci
Wang H, Che X, Nan J, Miao Y, Wang Y, Zhang W, Li F, Han J.   +7 more
europepmc   +1 more source

Generative Adversarial Networks for Synthetic Data Generation in Deep Learning Applications

Mohamed Islam Keskes
openalex   +2 more sources

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

Gated attention based generative adversarial networks for imbalanced credit card fraud detection. [PDF]

PeerJ Comput Sci
Ge J, Yin L, Zhang S, Zhao X.
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