scispace - formally typeset
M

Masoumeh Bayat

Researcher at University of British Columbia

Publications -  6
Citations -  241

Masoumeh Bayat is an academic researcher from University of British Columbia. The author has contributed to research in topics: Composite number & Carbon nanofiber. The author has an hindex of 3, co-authored 3 publications receiving 202 citations.

Papers
More filters
Journal ArticleDOI

Electromagnetic interference shielding effectiveness of hybrid multifunctional Fe3O4/carbon nanofiber composite

TL;DR: In this paper, the authors examined the contributing effects of various parameters such as Fe 3 O 4 content, carbonization temperature and thickness on total shielding efficiency (SE total ) of different samples.
Journal ArticleDOI

Electromagnetic properties of electrospun Fe3O4/carbon composite nanofibers

TL;DR: In this article, the electrical conductivity and magnetic properties of composite carbon nanofibers have been examined using PAN as a matrix to produce magnetic composite nanofiber containing different amounts of magnetite (Fe3O4) nanoparticles.
Journal ArticleDOI

Effect of iron oxide nanoparticle size on electromagnetic properties of composite nanofibers

TL;DR: In this article, a magnetically permeable carbon nanofiber-based composites were developed using the electrospinning with subsequent heat treatment, and the composite nanofibers contained a vari...
Journal ArticleDOI

Source Localization and Spectrum Analyzing of EEG in Stuttering State upon Dysfluent Utterances.

TL;DR: In this paper , the power spectral dynamics in the stuttering state by answering the questions using quantitative electroencephalography (qEEG) were investigated using quantitative EEG signals in adults who stutter.
Journal ArticleDOI

Speech Related Anxiety in Adults Who Stutter

TL;DR: In this article , the authors compared some speech-related anticipatory anxiety indices in fluent and dysfluent utterances in adults who stutter (AWS) using a self-reporting method and evaluated the autonomic aspects of anxiety (state anxiety) through recording changes in Galvanic Skin Response (GSR) signals.