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Showing 84 publications

Slanina Z., Danys L., Jaros R., Krupa F., Dratnal M., Polak D., Martinek R.
VLC-enhanced autonomous rail vehicle for nuclear waste disposal
VLC-enhanced autonomous rail vehicle for nuclear waste disposal
Nuclear Engineering and Technology, 57 (8), art. no. 103543, 2025.
DOI: 10.1016/j.net.2025.103543
Barnova K., Martinek R., Horakova J., Simetka O., Vilimkova Kahankova R.
Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications
Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications
Artificial Intelligence in Medicine, 171, art. no. 103303, 2026.
DOI: 10.1016/j.artmed.2025.103303
Jaros R., Majidzadeh Gorjani O., Barnova K., Lajdolf M., Martinek R., Bilik P., Danys L.
Automated recognition of worker activity using machine learning and multi-sensor fusion
Automated recognition of worker activity using machine learning and multi-sensor fusion
Applied Soft Computing, 189, art. no. 114473, 2026.
DOI: 10.1016/j.asoc.2025.114473
Challa S. P., Lara de Leon M. A., Koziorek J., Hameed I. A., Macháček Z.
Optimized image preprocessing strategies for enhanced neural network-based defect detection in industrial automation
Optimized image preprocessing strategies for enhanced neural network-based defect detection in industrial automation
Scientific Reports, 16, 20800, 2026.
DOI: 10.1038/s41598-026-50951-y
Mehić, M.; Rass, S.; Jakovlev, S.; Niemiec, M.; Fazio, P.; Vozňák, M.
On Mixing of Quantum Key Distribution and Post-Quantum Cryptographic Keys: Min-Entropy Bounds, Provisioning Policies, and Network-Oriented Trade-Offs
On Mixing of Quantum Key Distribution and Post-Quantum Cryptographic Keys: Min-Entropy Bounds, Provisioning Policies, and Network-Oriented Trade-Offs
IEEE Journal on Selected Areas in Communications, 44, 2026.
DOI: 10.1109/JSAC.2026.3722598
Haváček, Martin; Hutter, Marek; Apalups, Karlis; Ščurek, Radomír; Kubíček, Jan.
Deep learning for security-relevant event detection in visual data: a structured narrative review of the state of the art and future challenges
Deep learning for security-relevant event detection in visual data: a structured narrative review of the state of the art and future challenges
Artificial Intelligence Review, 2026.
DOI: 10.1007/s10462-026-11653-z
Dostál Z., Horák D., Kučera R.
Total FETI – An easier implementable variant of the FETI method for numerical solution of elliptic PDE
Total FETI – An easier implementable variant of the FETI method for numerical solution of elliptic PDE
Communications in Numerical Methods in Engineering, 22 (12), 1155–1162, 2006.
DOI: 10.1002/cnm.881
Nedoma J., Krizan D., Stipal J., Pereira L., Bekmurzayeva A., Tosi D., Costa M. B., Leal-Junior A., Martinek R., Marques C.
Decade of advancements in light–matter interaction-based optical fiber biosensing: innovations, challenges, and future directions
Decade of advancements in light–matter interaction-based optical fiber biosensing: innovations, challenges, and future directions
Advanced Photonics, 2026.
IF = 19.5 (2025)
DOI: 10.1117/1.AP.8.1.014004
Bátrla A., Majidzadeh Gorjani O., Byrtus R., Hercík R.
Sensorless Payload Estimation in an Industrial Robot Using Internal Motor-Current Signals
Sensorless Payload Estimation in an Industrial Robot Using Internal Motor-Current Signals
Sensors, 26 (15), 4867, 2026.
DOI: 10.3390/s26154867
Lê, A.T.; Vu, T.H.; Huynh-The, T.; Vozňák, M.
Analysis and Optimization Framework for STAR-RIS-Aided Short-Packet Systems With Covert Rate-Splitting Signaling
Analysis and Optimization Framework for STAR-RIS-Aided Short-Packet Systems With Covert Rate-Splitting Signaling
IEEE Transactions on Communications, 74, 2026.
DOI: 10.1109/TCOMM.2026.3701862
Bahrová, Jana Krymlák; Augustynek, Martin; Kubíček, Jan; et al.
Emotion Recognition from Physiological Responses: Accessibility and Usability of Publicly Available Datasets
Emotion Recognition from Physiological Responses: Accessibility and Usability of Publicly Available Datasets
IEEE Transactions on Affective Computing, 2026.
DOI: 10.1109/TAFFC.2026.3682324
Dostál Z., Horák D.
Theoretically supported scalable FETI for numerical solution of variational inequalities
Theoretically supported scalable FETI for numerical solution of variational inequalities
SIAM Journal on Numerical Analysis, 45 (2), 500–513, 2007.
IF = 1.788
DOI: 10.1137/050639454