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<title>Fakulta aplikované informatiky</title>
<link>http://hdl.handle.net/10563/1001724</link>
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<pubDate>Tue, 12 May 2026 13:53:04 GMT</pubDate>
<dc:date>2026-05-12T13:53:04Z</dc:date>
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<title>OS-QLR: One-Shot Quantized Latent Refinement for Fast and Efficient Image Generation</title>
<link>http://hdl.handle.net/10563/1012805</link>
<description>OS-QLR: One-Shot Quantized Latent Refinement for Fast and Efficient Image Generation
Li, Peng; Šenkeřík, Roman; Viktorin, Adam
This paper introduces One-Shot Quantized Latent Refinement (OS-QLR), a novel two-stage generative framework designed for high-quality image generation and improved computational efficiency. OS-QLR first learns a compact, discrete latent representation using a Vector Quantized Variational Autoencoder (VQ-VAE). It then employs a single-step refinement network within this latent space to produce clean, plausible samples from noisy or random inputs. Experimental results on the FashionMNIST and CIFAR-10 datasets show that OS-QLR consistently delivers superior image quality, featuring sharper details, fewer artifacts, and significantly lower Fréchet Inception Distance scores compared to unrefined VQ-VAE models. Additionally, OS-QLR demonstrates strong performance even with various levels of latent space corruption. Importantly, the training process for OS-QLR is greatly accelerated, taking only hours instead of the days or even weeks required by Diffusion Models, Generative Adversarial Networks (GANs), and Autoregressive image generation models. The non-iterative sampling method allows for rapid image generation, making OS-QLR a compelling and efficient alternative to current computationally intensive generative models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Mechanical Resistance of PC and PMMA Safety Components in Transportation</title>
<link>http://hdl.handle.net/10563/1012803</link>
<description>Mechanical Resistance of PC and PMMA Safety Components in Transportation
Karhánková, Michaela; Turek, Jan; Adámek, Milan; Svačinová, Lucie; Miškařík, Lukáš; Mizera, Aleš
Polycarbonate (PC) and polymethyl methacrylate (PMMA) are widely used thermoplastic polymers in transportation applications due to their exceptional optical clarity, impact resistance, and durability. These materials are integral to safety-critical components such as vehicle light covers, protective shields, and sensors. In this study, PC and PMMA specimens of varying thicknesses were tested using drop-weight impact tests to evaluate their mechanical properties, specifically puncture resistance. The primary objective was to compare the impact resistance and overall performance of these materials under dynamic loading conditions. Statistical analysis revealed that PC outperformed PMMA in mechanical performance, though modifications to PMMA can enhance its impact resistance. This research provides practical insights for optimizing material selection in transportation, ensuring a balance between durability and cost-efficiency. Q29weXJpZ2h0IMKpIDIwMjUuIFB1Ymxpc2hlZCBieSBFbHNldmllciBCLlYu.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Use of TEN-T for the movement of Search &amp; Rescue teams within the framework of CBRN-E response</title>
<link>http://hdl.handle.net/10563/1012804</link>
<description>Use of TEN-T for the movement of Search &amp; Rescue teams within the framework of CBRN-E response
Řehák, David; Janečková, Heidi; Hromada, Martin; Střítecký, Vít; Špeldová, Eliška; Benekou, Panagiota
Current threats, such as natural disasters, technological accidents or targeted attacks involving CBRN-E aspects, are becoming increasingly frequent and complex. For this reason, there are constantly increasing demands not only on the population protection, but also on the Search and Rescue Teams allocated to manage these large-scale disasters. In the context of responding to possible incidents, the rapid and safe transport of these teams represents a significant logistical challenge. Specifically, this concerns the transport of specialized equipment, which, due to its size or weight, can be difficult to transport within the Trans-European Transport Network. Q29weXJpZ2h0IMKpIDIwMjUuIFB1Ymxpc2hlZCBieSBFbHNldmllciBCLlYu.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>The pilot study of B-mode image analysis of kidney diseases</title>
<link>http://hdl.handle.net/10563/1012729</link>
<description>The pilot study of B-mode image analysis of kidney diseases
Blahuta, Jiří; Pavlík, Lukáš; Soukup, Tomáš; Kozel, Jiří
Ultrasound diagnostics is a key tool in the investigation of renal diseases in pediatric patients due to its non-invasiveness and accessibility. Although it offers many advantages. Its accuracy in detecting functional pathological changes is investigated in this article. This pilot study included 17 children aged 1 to 18 years who underwent renal ultrasound examination followed by scintigraphy examination in a nuclear medicine clinic. Renal ultrasound images were analyzed using the digital B-MODE Assist system. which calculates renal echogenicity. The B-MODE Assist software was developed more than 10 years ago and is used for measuring region of interest echogenicity for B-mode images in medicine. Echogenicity results were then compared with relative renal function determined using nuclear medicine methods. Results using the B-MODE Assist system demonstrated the sensitivity of 57–100 % and the specificity of 70–100 % in predicting renal pathological findings using ultrasound echogenicity compared with nuclear medicine methods.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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