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Kernel-based Sensitivity Analysis for (excursion) sets 基于内核的(偏移)集敏感性分析
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-28 DOI: 10.1080/00401706.2024.2336537
N. Fellmann, C. Blanchet-Scalliet, C. Helbert, A. Spagnol, D. Sinoquet
In this paper, we aim to perform sensitivity analysis of set-valued models and, in particular, to quantify the impact of uncertain inputs on feasible sets, which are key elements in solving a robus...
本文旨在对集数值模型进行敏感性分析,特别是量化不确定输入对可行集的影响,可行集是解决机器人问题的关键要素。
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引用次数: 0
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data under Data-Sharing Constraints 数据共享约束条件下针对多模态数据的联合多重张量对张量回归(FedMTOT)
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-26 DOI: 10.1080/00401706.2024.2333506
Zihan Zhang, Shancong Mou, Mostafa Reisi Gahrooei, Massimo Pacella, Jianjun Shi
In recent years, diversified measurements reflect the system dynamics from a more comprehensive perspective in system modeling and analysis, such as scalars, waveform signals, images, and structure...
近年来,在系统建模和分析中,多样化的测量手段从更全面的角度反映了系统动态,如标量、波形信号、图像和结构...
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引用次数: 0
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice 从工业 2.0 到工业 4.0 的统计过程监控:研究与实践启示
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-13 DOI: 10.1080/00401706.2024.2327341
Bianca M. Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall
Industry 4.0 has emerged as an important era for process monitoring and improvement. Our expository paper provides a historical perspective on research and practice of statistical process monitorin...
工业 4.0 已成为流程监控和改进的重要时代。我们的阐述性论文从历史的角度对统计流程监控的研究与实践进行了分析。
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引用次数: 0
Robust Multivariate Functional Control Chart 稳健多变量功能控制图
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-07 DOI: 10.1080/00401706.2024.2327346
Christian Capezza, Fabio Centofanti, Antonio Lepore, Biagio Palumbo
In modern Industry 4.0 applications, a huge amount of data is acquired during manufacturing processes and is often contaminated with outliers, which can seriously reduce the performance of control ...
在现代工业 4.0 应用中,制造过程中会获取大量数据,这些数据通常会受到异常值的污染,从而严重降低控制性能。
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引用次数: 0
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data 利用脑成像数据对无定向网络进行随变量聚类
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-04 DOI: 10.1080/00401706.2024.2321930
Sharmistha Guha, Rajarshi Guhaniyogi
This article focuses on model-based clustering of subjects based on the shared relationships of subject-specific networks and covariates in scenarios when there are differences in the relationship ...
本文的重点是在特定主体网络和协变量的共享关系存在差异的情况下,基于模型对主体进行聚类。
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引用次数: 0
Gaussian Process Emulation for High-Dimensional Coupled Systems 高维耦合系统的高斯过程仿真
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-03-04 DOI: 10.1080/00401706.2024.2322651
Tamara Dolski, Elaine T. Spiller, Susan E. Minkoff
Complex coupled multiphysics simulations are ubiquitous in science and engineering. Evaluating these numerical simulators is often costly which limits our ability to run them sufficiently often for...
复杂的耦合多物理场模拟在科学和工程领域无处不在。评估这些数值模拟器的成本往往很高,这限制了我们经常运行这些模拟器的能力。
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引用次数: 0
Deep Latent Factor Model for Spatio-Temporal Forecasting 用于时空预测的深度潜因模型
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322661
Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim
Latent factor models can perform spatio-temporal forecasting (i.e., predicting future responses at unmeasured as well as measured locations) by modeling temporal dependence using latent factors and...
潜因模型可以利用潜因和时间依赖性建模,进行时空预测(即预测未测量地点和测量地点的未来反应)。
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引用次数: 0
Image Comparison Based On Local Pixel Clustering 基于局部像素聚类的图像对比
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322670
Anik Roy, Partha Sarathi Mukherjee
Image comparison is a fundamental step for monitoring images and has wide applications in many disciplines of sciences, including satellite imaging, medical research, quality control and so forth. ...
图像对比是监控图像的基本步骤,在卫星成像、医学研究、质量控制等许多科学领域都有广泛应用。...
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引用次数: 0
An Adaptive Sampling Strategy for Real-time Anomaly Detection with Unmanned Sensing Vehicles 利用无人感知飞行器进行实时异常检测的自适应采样策略
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-02-22 DOI: 10.1080/00401706.2024.2322645
Yue Jiang, Ana María Estrada Gómez
Unmanned sensing vehicles (USVs) have been widely used for real-time anomaly detection in various applications, including environmental monitoring, precision agriculture, and military surveillance....
无人传感飞行器(USV)已被广泛用于各种应用领域的实时异常检测,包括环境监测、精准农业和军事监视....。
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引用次数: 0
Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems 偏微分方程边界值问题的网格聚类高斯过程模拟器
IF 2.5 3区 工程技术 Q1 STATISTICS & PROBABILITY Pub Date : 2024-02-21 DOI: 10.1080/00401706.2024.2320211
Chih-Li Sung, Wenjia Wang, Liang Ding, Xingjian Wang
Partial differential equations (PDEs) have become an essential tool for modeling complex physical systems. Such equations are typically solved numerically via mesh-based methods, such as finite ele...
偏微分方程 (PDE) 已成为复杂物理系统建模的重要工具。这些方程通常通过基于网格的方法进行数值求解,如有限元法、有限差分法等。
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引用次数: 0
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Technometrics
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