Results 101 to 110 of about 37,761 (196)

Delineating homogeneous zones for rock joint wall mechanical properties in open-pit mine slope based on a multi-indicator stacked generalization model. [PDF]

Sci Rep
Yu X, Zheng A, Ye J, Qin J, An P, Wang R.   +5 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

NOMA-MIMO in 5G network: a detailed survey on enhancing data rate. [PDF]

PeerJ Comput Sci
Halabouni M, Roslee M, Mitani S, Abuajwa O, Osman A, Binti Ali FZ, Waseem A.   +6 more
europepmc   +1 more source

Antisolvent crystallization of lithium hydroxide monohydrate: Significant factors and kinetics analysis

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Crystallization is the final stage in lithium hydroxide monohydrate (LiOH · H2O) production, and antisolvent crystallization offers a lower‐energy route compared with evaporative methods. In this study, we investigated bench‐scale ethanol‐based antisolvent crystallization of LiOH · H2O, and identified the significant impact parameter via a ...
Chentao He, Liuyin Xia
wiley   +1 more source

Pareto Sums of Pareto Sets: Lower Bounds and Algorithms. [PDF]

Algorithmica
Funke D, Hespe D, Sanders P, Storandt S, Truschel C.   +4 more
europepmc   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

Exploring supervised machine learning models to estimate blood pressure using non-fiducial features of the photoplethysmogram (PPG) and its derivatives. [PDF]

Phys Eng Sci Med
Argüello-Prada EJ, Castaño Mosquera CD.   +1 more
europepmc   +1 more source

Self‐Similar Blowup for the Cubic Schrödinger Equation

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley   +1 more source

A Review on Injection Molding: Conformal Cooling Channels, Modelling, Surrogate Models and Multi-Objective Optimization. [PDF]

Polymers (Basel)
Gaspar-Cunha A, Melo J, Marques T, Pontes A.   +3 more
europepmc   +1 more source

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source