Mathematical problem-solving ability

Results 211 to 220 of about 50,298 (299)

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

AIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source

Investigating middle school students' creative problem solving in numerical and spatial domains. [PDF]

Front Psychol
Incikabi S.
europepmc +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source

Improving algebraic understanding using history of mathematics: the case of structural reasoning in cubic equations. [PDF]

Front Psychol
Bannor AG, Gordon JF, Arthur YD.
europepmc +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source

Why do self-referent cues facilitate mathematical word problem-solving? Insights from eye tracking. [PDF]

PLoS One
March JJ +4 more
europepmc +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source

The Mathematical Problem-solving Ability of Elementary Students Using Problem-based Learning Model with Open-Ended Approach

This study has a purpose of determining the effectiveness of problem-based learning models with open-ended approach on students' mathematical problem- solving abilities; the comparison of the effectiveness of problem-based learning with open-ended
Mulyono, -
core

Differential predictors of complex fraction approximation and exact calculation in young adults. [PDF]

BMC Psychol
Ye J, Zhang L, Yang X.
europepmc +1 more source

mathematical problem solving ability
mathematical problem solving
problem solving ability

problem-solving ability
mathematics
problem based learning