Publications

• 2023

  VERMA, V.; KARNATI, M.; DUTTA, M.K.; MYŠKA, V.; MEZINA, A. Attention-based VGG-Residual-Inception Module for EEG-Based Depression Detection. In 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ghent: 2023. p. 33-37. ISBN: 979-8-3503-9328-6.
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  MYŠKA, V.; MEZINA, A.; VANĚK, P.; BURGET, R.; GENZOR, S.; MIZERA, J.; ŠTÝBNAR, M.; KIAC, M.; FROLKA, J. CovidStopHospital: e-Health Service for X-Ray-Based COVID-19 Classification and Radiologist-Assisted Dataset Creation. In 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ghent: 2023. p. 62-67. ISBN: 979-8-3503-9328-6.
  Detail | WWW

  MYŠKA, V.; LEVEK, V.; BURGET, R.; KOLAŘÍK, M.; ŠTEFFAN, P.; HÁZE, J. IoT mechatronic access control system ePRO 1.4. IEEE Consumer Electronics Magazine, 2023, vol. 13, no. 5, p. 83-92. ISSN: 2162-2248.
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  MYŠKA, V.; GENZOR, S.; MEZINA, A.; BURGET, R.; MIZERA, J.; ŠTÝBNAR, M.; KOLAŘÍK, M.; SOVA, M.; DUTTA, M. Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19. Diagnostics, 2023, vol. 13, no. 10, p. 1-17. ISSN: 2075-4418.
  Detail | WWW | Full text in the Digital Library

  MEZINA, A.; GENZOR, S.; BURGET, R.; MIZERA, J.; MYŠKA, V.; ŠTÝBNAR, M. Patients Compliance: Ten Years History Data Analysis. ERJ Open Research. Prague: European Respiratory Society, 2023. ISSN: 2312-0541.
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  SMÍŠEK, R.; NĚMCOVÁ, A.; SMITAL, L.; CHLÍBKOVÁ, D.; KRÁLÍK, M.; KOLÁŘOVÁ, J.; MYŠKA, V.; KOLAŘÍK, M.; HARVÁNEK, M.; ARM, J.; BAŠTÁN, O.; POSPÍŠIL, M.; ŠÍMA, J.; HUBÁLEK, J. Aerobic Fitness Level Estimation Using Wearables. In Computing in Cardiology 2022. Computing in Cardiology. 2023. ISSN: 2325-887X.
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• 2022

  KUMAR, A.; RAKESH CHANDRA, J.; DUTTA, M.K.; BURGET, R.; MYSKA, V. Osteo-Net: A Robust Deep Learning-Based Diagnosis of Osteoporosis Using X-ray images. In TSP 2022: 2022 45th International Conference on Telecommunications and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2022. p. 91-95. ISBN: 9781665469487.
  Detail | WWW

  KRÁLÍK, M.; NĚMCOVÁ, A.; SMÍŠEK, R.; SMITAL, L.; KOZUMPLÍK, J.; CHLÍBKOVÁ, D.; KOLÁŘOVÁ, J.; MYŠKA, V.; KOLAŘÍK, M.; HARVÁNEK, M.; ARM, J.; BAŠTÁN, O.; POSPÍŠIL, M.; HUBÁLEK, J. Ohad dechové frekvence pomocí wearables. Praha: 2022.
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  MALVIYA, A.; SENGAR, N.; DUTTA, M.K.; BURGET, R.; MYSKA, V. Deep Learning Based Gastro Intestinal Disease Analysis Using Wireless Capsule Endoscopy Images. In TSP 2022: 2022 45th International Conference on Telecommunications and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2022. p. 221-225. ISBN: 9781665469487.
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  HUBÁLEK, J.; CHLÍBKOVÁ, D.; KOLÁŘOVÁ, J.; SMITAL, L.; ARM, J.; MYŠKA, V.; NĚMCOVÁ, A.; HARVÁNEK, M.; KRÁLÍK, M.; KOLAŘÍK, M.; SMÍŠEK, R.; BAŠTÁN, O.; POSPÍŠIL, M. Nový způsob hodnocení kondice a zdraví pomocí nositelných zařízení. 2022.
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• 2021

  DEJDAR, P.; MYŠKA, V.; MÜNSTER, P.; BURGET, R. Trains Detection Using State of Polarization Changes Measurement and Convolutional Neural Networks. In 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Proceedings. IEEE, 2021. p. 1-4. ISBN: 978-1-7281-5099-4.
  Detail | WWW | Full text in the Digital Library

  MYŠKA, V. Detection of road surface defects from data acquired by a laser scanner. In Proceedings II of the 27th Conference STUDENT EEICT 2021 selected papers. 1. Brno: Brno Univeristy of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 275-279. ISBN: 978-80-214-5943-4.
  Detail | WWW

  MYŠKA, V.; BURGET, R. Machine learning approach for automatic lungs sound diagnosis from pulmonary signals. In 44th International Conference on Telecommunications and Signal Processing (TSP). Virtual Conference: IEEE, 2021. p. 366-371. ISBN: 978-1-6654-2933-7.
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• 2020

  BAGHEL, N., SINGH, D, DUTTA, M.K., BURGET, R., & MYSKA, V. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 550-553. ISBN: 978-1-7281-6376-5.
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  MYŠKA, V. Graph convolutional neural networks for sentiment analysis. In Proceedings I of the 26th Conference STUDENT EEICT 2020. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 340-344. ISBN: 978-80-214-5867-3.
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• 2019

  MYŠKA, V. Language-Independent Text Classifier Base on Recurrent Neural Networks. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 754-758. ISBN: 978-80-214-5735-5.
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  MYŠKA,V.; BURGET, R.; BREZANY, P. Graph neural network for website element detection. In 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 216-219. ISBN: 978-1-7281-1864-2.
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  MYŠKA, V.;BURGET, R.;POVODA, L.;DUTTA, M. Linguistically independent sentiment analysis using convolutional-recurrent neural networks model. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 212-215. ISBN: 978-1-7281-1864-2.
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  DWIVEDI, A., KUMAR, A., DUTTA, M. K., BURGET, R., & MYSKA, V. An Efficient and Robust Zero-Bit Watermarking Technique for Biometric Image Protection. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 236-240. ISBN: 978-1-7281-1864-2.
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