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Miroslaw Jablonski

Researcher at AGH University of Science and Technology

Publications -  63
Citations -  261

Miroslaw Jablonski is an academic researcher from AGH University of Science and Technology. The author has contributed to research in topics: Production (computer science) & Impact parameter. The author has an hindex of 8, co-authored 63 publications receiving 201 citations.

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Proceedings ArticleDOI

PixelStreams-based implementation of videodetector

TL;DR: A modification of the background generation algorithm, essential for proper algorithm functioning at medium and high road-traffic conditions, has been proposed and PixelStream-based implementation has been successfully performed.
Journal ArticleDOI

Using Deep Convolutional Neural Network for oak acorn viability recognition based on color images of their sections

TL;DR: It is shown that deep network accuracy is comparable or slightly higher than manual assessment of the viability of oak seeds and the impact of various image representations as well as network architecture and its parameters on the classification results is explored.
Journal ArticleDOI

Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

TL;DR: In this article, the authors presented a research project No. 11.11.612.120.1 and No. 12.1, which was supported by the AGH University of Science and Technology in year 2016.
Journal ArticleDOI

Experimental evidence for an attractive p-$\phi$ interaction

Shreyasi Acharya, +1049 more
TL;DR: In this article, the first experimental evidence of the attractive strong interaction between a proton and a φ meson was presented from two-particle correlations of combined p-$\phi \oplus \overline{\rm {p}}$-$π$ pairs measured in high-multiplicity pp collisions at the ALICE collaboration.
Journal ArticleDOI

Automation of the Acorn Scarification Process as a Contribution to Sustainable Forest Management. Case Study: Common Oak

TL;DR: In this paper, the authors used a vision system to determine the length and orientation of acorns and used the Harris detector to detect acorn scarification in order to detect the potential use of a seed for sowing.