Principal component guided DCGAN for mitigating mode collapse in electromagnetic pulse signal synthesis. [PDF]
Gao Z +5 more
europepmc +1 more source
Some formulas for the smallest number of generators for finite direct sums of matrix algebras [PDF]
Rostyslav Kravchenko, Bogdan V. Petrenko
openalex +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Enhanced skin cancer classification for minority classes using Conditional GAN pipeline and CNN-ViT ensemble. [PDF]
Hussain SR +3 more
europepmc +1 more source
EIGENTEST: A Test Matrix Generator for Large-Scale Eigenproblems
Che Rung Lee, G. W. Stewart
openalex +1 more source
Contribution to the Active Generator Principle : the Gate-commutated Polyphased Matrix Converter [PDF]
Antoine Béguin
openalex +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Generative adversarial network-based super-resolution reconstruction of remote sensing images. [PDF]
Wang L, Liu L, Yu Q, Yuan D.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Proactive fault prediction in marine diesel engines using multivariate machine learning. [PDF]
Michel M +3 more
europepmc +1 more source

