Results 101 to 110 of about 17,065,182 (226)

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Tutorial on Multinomial Processing Tree Modeling: How to Develop, Test, and Extend MPT Models

, 2023
Supplementary material for: Tutorial on multinomial processing tree modeling: How to develop, test, and extend MPT models (Schmidt, Erdfelder, & Heck ...
Oliver Schmidt, Daniel W. Heck, Edgar Erdfelder   +2 more
core  

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Verification of an Incompressible Viscoelastic Flow Solver Using the Method of Manufactured Solutions for Oldroyd‐B and Giesekus Constitutive Models

International Journal for Numerical Methods in Fluids, EarlyView.
This study utilizes the Method of Manufactured Solutions (MMS) to validate high‐order compact finite‐difference schemes for 2D incompressible viscoelastic flows. By applying Oldroyd‐B and Giesekus models to a lid‐driven cavity benchmark, the researchers rigorously assessed numerical accuracy across varying Reynolds and Weissenberg numbers.
Juniormar Organista, Leandro F. Souza, Célio Fernandes, Welton L. Costa, Aquisson T. G. da Silva, Antonio Castelo   +5 more
wiley   +1 more source

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source

The Role of Admission Probabilities in the Deferred Acceptance Mechanism: An Experimental Study

International Studies of Economics, EarlyView.
ABSTRACT Although students theoretically need not consider admission probabilities under strategy‐proof mechanisms in school choice problems, our study reveals a significant correlation between students' applications and their beliefs about admission probabilities in the deferred acceptance mechanism.
Shuxian Hong, Yi Yang
wiley   +1 more source

Saturated Partial Embeddings of Planar Graphs

Journal of Graph Theory, EarlyView.
ABSTRACT In this work, we study how far one can deviate from optimal behavior when embedding a planar graph. For a planar graph G $G$, we say that a plane subgraph H ⊆ G $H\subseteq G$ is a plane‐saturated subgraph if adding any edge (possibly with new vertices) to H $H$ would either violate planarity or make the resulting graph no longer a subgraph of
Alexander Clifton, Nika Salia
wiley   +1 more source

Flow‐Critical Graphs

Journal of Graph Theory, EarlyView.
ABSTRACT Lovász et al. proved that every six‐edge‐connected graph has a nowhere‐zero three‐flow. In fact, they proved a more technical statement, which says that there exists a nowhere‐zero three‐flow that extends the flow prescribed on the incident edges of a single vertex z $z$ with bounded degree. We extend this theorem of Lovász et al.
Arnbjörg Soffía Árnadóttir, Zdeněk Dvořák, Bernard Lidický, Benjamin Moore, Evelyne Smith‐Roberge, Robert Šámal   +5 more
wiley   +1 more source