Results 31 to 40 of about 249 (105)

Anomaly Detection and Localization With State‐of‐the‐Art Deep Learning Models to Support Quality Inspection in Car Manufacturing

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
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

open access: yesMathematische Nachrichten, Volume 299, Issue 3, Page 675-698, March 2026.
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

open access: yesWIREs Computational Statistics, Volume 18, Issue 1, March 2026.
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

A guide to formulating fairness in an optimization model. [PDF]

open access: yesAnn Oper Res, 2023
Xinying Chen V, Hooker JN.
europepmc   +1 more source

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