This work presents a deep learning framework for sealant inspection in automotive manufacturing, leveraging synthetic data to address the scarcity of real defects. Integrated with state‐of‐the‐art deep learning methods, the approach enhances anomaly detection and localization, demonstrating practical applicability and robustness under real‐world ...
Francesco Manigrasso +3 more
wiley +1 more source
(N,q)$(N,q)$‐Laplacian equations with one‐sided critical exponential growth
Abstract We prove the existence of two non‐trivial weak solutions for a class of quasilinear, non‐homogeneous elliptic problems driven by the (N,q)$(N,q)$‐Laplacian with one‐sided critical exponential growth in a bounded domain Ω⊂RN$\Omega \subset \mathbb {R}^{N}$. The first solution is obtained as a local minimizer of the associated energy functional;
Elisandra Gloss +2 more
wiley +1 more source
Advances in Modal Regression: From Theoretical Foundations to Practical Implementations
Modal regression. ABSTRACT Modal regression has emerged as a powerful alternative to traditional mean and quantile regression by focusing on estimating the conditional mode rather than the conditional mean or quantiles. This approach offers robustness to outliers and skewed distributions while providing more informative prediction intervals for ...
Sijia Xiang, Weixin Yao, Xinping Cui
wiley +1 more source
Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge. [PDF]
Qiu H, Luedtke A.
europepmc +1 more source
A new mathematical model of multi-faced COVID-19 formulated by fractional derivative chains. [PDF]
Aldawish I, Ibrahim RW.
europepmc +1 more source
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. [PDF]
Boţ RI, Csetnek ER, Sedlmayer M.
europepmc +1 more source
Aspects of a Phase Transition in High-Dimensional Random Geometry. [PDF]
Prüser A, Kondor I, Engel A.
europepmc +1 more source
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm. [PDF]
Masoudi E, Holling H, Wong WK, Kim S.
europepmc +1 more source
A guide to formulating fairness in an optimization model. [PDF]
Xinying Chen V, Hooker JN.
europepmc +1 more source
Flows of Substances in Networks and Network Channels: Selected Results and Applications. [PDF]
Dimitrova ZI.
europepmc +1 more source

