Search Results for author: Jan Mucha

Found 4 papers, 0 papers with code

Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation

no code implementations18 Mar 2022 Jan Mucha, Zoltan Galaz, Jiri Mekyska, Tomas Kiska, Vojtech Zvoncak, Zdenek Smekal, Ilona Eliasova, Martina Mrackova, Milena Kostalova, Irena Rektorova, Marcos Faundez-Zanuy, Jesus B. Alonso-Hernandez

In this work, we analysed the power of conventional speech features quantifying imprecise articulation, dysprosody, speech dysfluency and speech quality deterioration extracted from a specialized poem recitation task to discriminate dysarthric and healthy speech.

Classification

Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties

no code implementations20 Jan 2023 Zoltan Galaz, Jiri Mekyska, Jan Mucha, Vojtech Zvoncak, Zdenek Smekal, Marcos Faundez-Zanuy, Lubos Brabenec, Ivona Moravkova, Irena Rektorova

To this date, studies focusing on the prodromal diagnosis of Lewy body diseases (LBDs) based on quantitative analysis of graphomotor and handwriting difficulties are missing.

Sentence

Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis

no code implementations20 Jan 2023 Jan Mucha, Zoltan Galaz, Jiri Mekyska, Marcos Faundez-Zanuy, Vojtech Zvoncak, Zdenek Smekal, Lubos Brabenec, Irena Rektorova

Therefore, in this study, we follow up on our previous research, and we aim to explore the utilization of various approaches of fractional order derivative (FD) in the analysis of PD dysgraphia.

Specificity

Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data

no code implementations13 Mar 2024 Daniel Kovac, Jan Mucha, Jon Alvarez Justo, Jiri Mekyska, Zoltan Galaz, Krystof Novotny, Radoslav Pitonak, Jan Knezik, Jonas Herec, Tor Arne Johansen

The performance of the latest 1D CNN (1D-Justo-LiuNet) and two recent 2D CNNs (nnU-net and 2D-Justo-UNet-Simple) for cloud segmentation and classification is assessed.

Cloud Detection Computational Efficiency

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