scispace - formally typeset
M

Monika N. Bugdol

Researcher at Silesian University of Technology

Publications -  46
Citations -  326

Monika N. Bugdol is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 7, co-authored 37 publications receiving 262 citations.

Papers
More filters
Journal ArticleDOI

Determination of steel fibres distribution in self-compacting concrete beams using X-ray computed tomography

TL;DR: In this article, a study concerning an automatic determination of distribution of steel fibres in self-compacting concrete (SCC) is presented, where the determination of fiber distribution is required to assess any relationship between those features and casting methods of concrete elements.
Journal ArticleDOI

Determination of 3D porosity in steel fibre reinforced SCC beams using X-ray computed tomography

TL;DR: In this paper, the authors focused on air voids in fiber reinforced SCC and used two types of crimped steel fibres to check the uniformity of spacing and volume distribution.
Journal ArticleDOI

X-ray computed tomography harnessed to determine 3D spacing of steel fibres in self compacting concrete (SCC) slabs

TL;DR: In this article, the distribution and spacing analysis of fibres in SFR-SCC slabs with two steel fibres types and different casting points were examined, and the angles between the fibres and the beam main axis were examined.
Journal ArticleDOI

Spatial and dynamical handwriting analysis in mild cognitive impairment

TL;DR: Proposed handwriting features are significant in distinguishing MCI patients and inclusion of quantitative handwriting analysis in psychological assessment may be a step forward towards a fast MCI diagnosis.
Journal ArticleDOI

Steel fibre spacing in self-compacting concrete precast walls by X-ray computed tomography

TL;DR: In this paper, a research program focused on determination of steel fiber dispersion in self-compacting concrete using the X-ray computed tomography method is presented, where large scale specimens were cast (in the form of walls 1.2m × 1.1m × 0.15m), containing different types of steel fibre.