Oct 9, 2023 · Abstract: This paper studies a novel quality-oriented efficient distributed framework for nonlinear plant-wide industrial quality-related process monitoring. In this strategy, process …

Oct 1, 2023 · To handle this issue, this paper presents an orthogonal kernel partial least squares improved kernel least squares with a preprocessing-modeling-postprocessing (PMP) structure …

Oct 1, 2023 · A good strategy should address the core problems or challenges faced by a business, provide guiding principles on how to tackle them, and be supported by the coherent …

Jan 23, 2023 · Abstract: Projection to latent structure (PLS) is a well-known data-based approach widely used in industrial process monitoring. Kernel PLS (KPLS) was proposed in prior studies …

we define our family of closed-form quality measures – the kernel Stein discrepancies (KSDs) – and establish several appealing practical properties of these measures.

Jun 2, 2021 · The kernel, or core of a good strategy, must include all three elements: a proper diagnosis of the challenge ahead, a guiding policy on how to overcome that challenge, and a …

Feb 17, 2022 · There are many ways to interact with the kernel from userspace, including system calls, logs, the procfs and sysfs virtual file systems, and more. In this article, I will introduce …

Jan 1, 2023 · This paper studies a novel quality-oriented efficient distributed framework for nonlinear plant-wide industrial quality-related process monitoring.

We here propose a machine learning approach for monitoring particle detectors in real-time. The goal is to assess the compatibility of incoming experimental data with a reference dataset, …

We develop a theory of weak convergence for KSDs based on Stein’s method, demonstrate that commonly used KSDs fail to detect non-convergence even for Gaussian targets, and show …