Results 161 to 170 of about 13,903 (307)
A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette +2 more
wiley +1 more source
Decentralized system identification using stochastic subspace identification for wireless sensor networks. [PDF]
Cho S, Park JW, Sim SH.
europepmc +1 more source
In the present study, relationship between knockdown and mortality of insecticides was examined against the adult female housefly, Musca domestica. Type‐I pyrethroid insecticides showed a weak linkage, as early knocked down flies did not always result in mortality, while type‐II pyrethroids and organophosphates exhibited strong correlation between the ...
Junho Yoon, Jun‐Hyung Tak
wiley +1 more source
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Subspace Identification of Bilinear Systems
In this paper, we describe subspace algorithms for the identification of general bilinear MIMO systems. The results are a generalization of a previously presented paper that considered bilinear systems with white inputs [9].
W. Favoreel, B. De Moor
core
ABSTRACT Upon establishing multiple response optimization (MRO) or dual response optimization (DRO), response surface methodology (RSM) acts as a conventional model‐driven framework for optimizing small‐sized experimental data to derive an input condition in which a decent response is expected.
Dong‐Hyun Koo +2 more
wiley +1 more source
Subspace State Space System Identification For Industrial Processes
: We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties.
Peter Van Overschee +2 more
core
A smart design strategy for NIR‐II organic fluorophores is proposed by combining self‐driven Iterative evolution, deep Learning, and fragment‐based assembly. This work establishes a broadly applicable approach for molecular design, accelerating the discovery of NIR‐II fluorophores and extending to optoelectronic materials and therapeutic compounds ...
Yu Zhang +6 more
wiley +1 more source
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella +2 more
wiley +1 more source

