Results 111 to 120 of about 80,623 (279)

A Novel Deep Temporal Feature Enhanced Just‐in‐Time Learning Framework for Predicting Rare Earth Component Content

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang, Liangfang Liao, Chunfa Liao, Hui Zhang, Tao Qi, Rongxiu Lu, Wenhao Dai   +6 more
wiley   +1 more source

Two‐Phase Nanofluid Flow in a Non‐Newtonian Model Past a Deformable Sheet With Magnetized Environmental Effects: Statistical Modeling and ANOVA Analysis

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This paper presents a comprehensive numerical analysis of magnetohydrodynamic (MHD) Casson nanofluid movement over a permeable, linearly stretching sheet, integrating the contributions of non‐uniform heat generation or absorption and chemical interaction.
Manoj Kumar Sahoo, MD. Shamshuddin, Subhajit Panda, Umair Khan   +3 more
wiley   +1 more source

Bridgeman's orthospectrum identity

, 2010
We give a short derivation of an identity of Bridgeman concerning orthospectra of hyperbolic surfaces.Comment: 5 pages, 3 figures; v3 minor errors ...
Calegari, Danny
core  

An artificial neural network–based deep learning model to predict combined stress impact and interaction in plants

Applications in Plant Sciences, EarlyView.
Abstract Premise Plants are frequently exposed to combinations of abiotic and biotic stresses that pose a greater threat to yield and productivity than individual stresses. However, knowledge of the impact of many stress combinations in numerous plants is limited due to the lack of experimental data, which could take decades to generate.
Piyush Priya, Prachi Pandey, Rubi Jain, Manu Kandpal, Shradha Jain, Rim Chaudhury, Venkategowda Ramegowda, Muthappa Senthil‐Kumar   +7 more
wiley   +1 more source

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

The Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose, Nicolae Radu, Mugurel Constantin Rusu   +2 more
wiley   +1 more source

Modelling of size recovery curves for minerals in teeter bed separator for processing iron ore fines

South African Journal of Chemical Engineering
Teeter bed separator has gained significant importance and appeared as a viable option for beneficiation of high alumina and low iron content Indian iron ore fines.
Biswakant Pradhan, Ipsita Dipamitra Behera, Satyabrata Mohanta, Bhim Charan Meikap   +3 more
doaj   +1 more source

A survey on hyperbolicity of projective hypersurfaces

, 2011
These are lecture notes of a course held at IMPA, Rio de Janiero, in september 2010: the purpose was to present recent results on Kobayashi hyperbolicity in complex geometry.
Diverio, Simone, Rousseau, Erwan
core  

Radial capacity and hemodynamics evaluation in vitro and implantable feasibility validation in vivo of thinner bioresorbable polymer vascular stents

BMEMat, EarlyView.
A series of in vitro experiments, numerical simulations and in vivo experiments were conducted to jointly evaluate the effects of different thicknesses of bioabsorbable polymer vascular stents on their radial capacity, hemodynamics and in vivo outcomes.
Chong Chen, Tao Li, Zhongyou Li, Jingyuan Zhou, Zhuo Zhang, Yan Xiong, Rifang Luo, Yu Chen, Yunbing Wang, Ping Fu   +9 more
wiley   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +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