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Institution

Brno University of Technology

EducationBrno, Czechia
About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Computer science & Fracture mechanics. The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.


Papers
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Journal ArticleDOI
15 Apr 2018-Geoderma
TL;DR: In this article, mass loss between 200 and 300°C, which is related to thermally labile fraction, correlates best with total organic C, total N and clay content and biological activity.

49 citations

Proceedings ArticleDOI
20 Jun 2011
TL;DR: A new parameterization of lines and a modification of the Hough transform–PClines are presented, which shows that PClines outperform the existing approaches in terms of accuracy.
Abstract: Detection of lines in raster images is often performed using Hough transform. This paper presents a new parameterization of lines and a modification of the Hough transform–PClines. PClines are based on parallel coordinates, a coordinate system used mostly or solely for high-dimensional data visualization. The PClines algorithm is described in the paper; its accuracy is evaluated numerically and compared to the commonly used line detectors based on the Hough transform. The results show that PClines outperform the existing approaches in terms of accuracy. Besides, PClines are computationally extremely efficient, require no floating-point operations, and can be easily accelerated by different hardware architectures.

49 citations

Proceedings ArticleDOI
25 Oct 2020
TL;DR: The Zero Resource Speech Challenge 2020 is presented, which aims at learning speech representations from raw audio signals without any labels and features two tasks which tap into two levels of speech representation.
Abstract: We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics from two previous benchmarks (2017 and 2019) and features two tasks which tap into two levels of speech representation. The first task is to discover low bit-rate subword representations that optimize the quality of speech synthesis; the second one is to discover word-like units from unsegmented raw speech. We present the results of the twenty submitted models and discuss the implications of the main findings for unsupervised speech learning.

49 citations

Journal ArticleDOI
TL;DR: A new method of fully reversible watermarking in medical imaging is proposed by combining the advantages of three traditional approaches—Reversible, Zero and RONI watermarked, which achieves exceptionally high values of Peak Signal to Noise Ratio and Structural Similarity index.

49 citations

Journal ArticleDOI
TL;DR: This paper reviews and critically evaluates available methods for the measurement of single and disperse two‐phase flows for the study of respiratory airflow and deposition of inhaled particles, performed both in vivo and in replicas of airways.

49 citations


Authors

Showing all 6383 results

NameH-indexPapersCitations
Georg Kresse111430244729
Patrik Schmuki10976352669
Michael Schmid8871530874
Robert M. Malina8869138277
Jiří Jaromír Klemeš6456514892
Alessandro Piccolo6228414332
René Kizek6167216554
George Danezis5920911516
Stevo Stević583749832
Edvin Lundgren5728610158
Franz Halberg5575015400
Vojtech Adam5561114442
Lukas Burget5325221375
Jan Cermak532389563
Hynek Hermansky5131714372
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
2022106
20211,053
20201,010
20191,214
20181,131