Research
Find research shared by the Owlstown community.
A systematic review and meta-analysis of approaches to teaching problem-solving skills in early childhood education and care settings: A focus on science, technology, engineering and mathematics activities
Abstract
This systematic review and meta-analysis synthesised evidence on teaching problem-solving skills to children in early childhood education and care settings (ECEC) in the domain of science, technology, engineering and mathematics (STEM). ...
Publication · 5d
Roots and effects of sexual harassment
This project examines sexual harassment from multiple angles, integrating diverse research methods to explore its socio-psychological roots and broad impacts on individuals and society. By combining quantitative surveys and qualitative analyses, i...
Project · 5d
Gender stereotypes and their manifestations
Gender stereotypes often shape individuals' perceptions, expectations, and behaviors from an early age, influencing both personal identities and social interactions. While some progress has been made in challenging these traditional views, gender ...
Project · 5d
Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks
Abstract
This paper presents a prior knowledge accelerated transfer learning technique to efficiently train artificial neural networks (ANNs) to address uncertainty in on-chip multilayer graphene nanoribbon (MLGNR) interconnects. The salient fea...
Publication · 5d
Variability Analysis of Multilevel Spin-Orbit Torque MRAMs using Machine Learning
Abstract
In this paper, an artificial neural network (ANN) based surrogate modeling is performed to estimate the variability in multilevel spin-orbit torque magnetic random-access memory (SOT-MRAM). ANN is utilized to predict the impact of varia...
Publication · 5d
Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition
Abstract
Machine learning (ML) approaches present an effective technique for accurately and efficiently predicting device parameters. Using these techniques, we introduce a multi-task convolutional neural network (CNN) model and support vector r...
Publication · 5d
Image Edge Extraction Using SOT-MRAM Based In-Memory Computing
Abstract
Edge extraction is a crucial task in the realms of computer vision and image processing. Numerous algorithms for edge extraction traditionally depend on computationally intensive computations involving first-order or second-order deriva...
Publication · 5d
Machine Learning Based Inverse Model for Identifying Transmission Line Network Parameters from Tabulated Frequency-Domain Data
Abstract
In this paper, a neural network based inverse model is presented that can predict the values of the geometrical, physical, and material parameters of a given transmission line network from its tabulated frequency-domain responses. The p...
Publication · 5d
Artificial Neural Networks With Fast Transfer Learning for Statistical Signal Integrity Analysis of MWCNT and MLGNR Interconnect Networks
Abstract
In this article, artificial neural network (ANN) metamodels have been developed for the fast statistical signal integrity analysis of multiwalled carbon nanotube and multilayer graphene nanoribbon interconnect networks. These ANN metamo...
Publication · 5d
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