Results 91 to 100 of about 4,188 (267)
Performance change detection and recovery in inferential control loops
Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +1 more source
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
We give a new definition of admissible representations which allows to handle also non countably-based topological spaces in the framework of Type-2 Theory of Effectivity. We prove that admissible representations \(\delta_{X},\delta_{Y}\) of topological spaces \(X,Y\) have the desirable property that every partial function \(f\subseteq X\rightarrow Y\)
openaire +1 more source
A Geometric Characterization of Steady Laminar Flow
ABSTRACT We study the steady states of the Euler equations on the periodic channel or annulus. We show that if these flows are laminar (layered by closed non‐contractible streamlines which foliate the domain), then they must be either parallel or circular flows.
Theodore D. Drivas, Marc Nualart
wiley +1 more source
La Impugnación de la Competencia en Asuntos Contenciosos ante la Corte Internacional de Justicia
In this comment the different procedures available to a State whichis unwilling to appear before the International Court of Justice are discussed. Challenges to the Court’s jurisdiction or the admissibility of the application are explained, including the
Juan José Quintana
doaj
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Admissibility of Linear Predictors of Finite Population Parameters under Reflected Normal Loss Function [PDF]
One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population.
R. Jafaraghaie, N. Nematollahi
doaj
Modelling Sustainability Performance in Manufacturing Companies
ABSTRACT Nowadays, organisations need to operate with economic, social and environmental goals in mind. Indices objectively quantify such goals; hence, an organisation can develop and compare policies based on future index values. We propose a system dynamics‐based model of a manufacturing company that frames its operations in terms of a set of easily ...
Harol Andrey Avila‐Choconta +3 more
wiley +1 more source
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen +3 more
wiley +1 more source
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley +1 more source

