Results 141 to 150 of about 230,401 (283)

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source

ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization. [PDF]

Front Robot AI
Abdelkarim A, Görges D, Voos H.
europepmc   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Domain-specific and multidomain resilience among parentally bereaved youth: Assessment and associations with long-term outcomes. [PDF]

Dev Psychopathol
Sandler I, Cai Q, Tein JY, Hoppe R, Wolchik S.   +4 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]

J Sci Comput
Benková K, Pearson JW, Ptashnyk M.
europepmc   +1 more source

Infinite-horizon linear-quadratic age-structured optimal control problem [PDF]

Applied Mathematical Sciences, 2020
Buratto, Alessandra, Cesaretto, Rudy, Grosset, Luca   +2 more
openaire   +1 more source

Spouted bed drying parameters and adjuvant effects on polyphenol retention and antioxidant activity in mango peel powders

The Canadian Journal of Chemical Engineering, EarlyView.
Spouted bed drying of mango peels with colloidal SiO2 and corn starch produces a free‐flowing powder with reduced agglomeration, increased drying yield, and preserved antioxidant and polyphenol content. Abstract The production of polyphenol‐rich powders is a promising strategy for valorizing agro‐industrial byproducts. This study evaluated drying yield,
Guilherme Henrique Alves Pinto, Fábio Bentes Freire, José Teixeira Freire, Wanderley Pereira Oliveira   +3 more
wiley   +1 more source

A novel hybrid metaheuristic algorithm and response surface methodology approach for predictive modeling and optimization of cementitious compressive strength. [PDF]

Sci Rep
Maaroof RS, Hamad AS, Hussein MMF.
europepmc   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source