Results 121 to 130 of about 231,620 (237)

A REVIEW OF GRADIENT ALGORITHMS FOR NUMERICAL COMPUTATION OF OPTIMAL TRAJECTORIES DOI 10.5028/jatm.2012.04020512

Journal of Aerospace Technology and Management, 2012
In this paper, two classic direct methods for numerical computation of optimal trajectories were revisited: the steepest descent method and the direct one based upon the second variation theory.
Wander Almodovar Golfetto, Sandro da Silva Fernandes   +1 more
doaj  

Exploring Tradeoffs in Syngas Production With Solid‐Oxide Electrolysis via Multi‐Objective Optimization

Chemie Ingenieur Technik, EarlyView.
This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome, Victor Selmert, An Phuc Dam, Nicolas Kruse, Leandros Paschalidis, Remzi Can Samsun, Rüdiger‐A. Eichel   +6 more
wiley   +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

Reinforcement learning-based optimal control for stochastic opinion dynamics. [PDF]

Sci Rep
Chen Y, Gao H, Mazalov VV, Liu Y.
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

Trajectories of Alcohol-Related Problems Among First-Year Nursing Students: Nature, Predictors, and Outcomes. [PDF]

Stress Health
Cheyroux P, Morin AJS, O'Connor RM, Colombat P, Vancappel A, Eltanoukhi R, Gillet N.   +6 more
europepmc   +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

Linear and curvilinear associations between affinity for solitude and adjustment in adolescence. [PDF]

J Res Adolesc
Zhou J, Chen X, Li D, Liu J, Zhou T.
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

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