Search Results - "Burget, Radim"
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The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review
Published in Sensors (Basel, Switzerland) (28-08-2021)“…The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of its initial outbreak. Several reasons can be considered: people are in…”
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A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Published in Computer networks (Amsterdam, Netherlands : 1999) (05-07-2021)“…Technology is continually undergoing a constituent development caused by the appearance of billions new interconnected “things” and their entrenchment in our…”
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Wearables for Industrial Work Safety: A Survey
Published in Sensors (Basel, Switzerland) (02-06-2021)“…Today, ensuring work safety is considered to be one of the top priorities for various industries. Workplace injuries, illnesses, and deaths often entail…”
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Network Anomaly Detection With Temporal Convolutional Network and U-Net Model
Published in IEEE access (2021)“…Anomaly detection in network traffic is one of the key techniques to ensure security in future networks. Today, the importance of this topic is even higher,…”
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Crowdsourcing the creation of image segmentation algorithms for connectomics
Published in Frontiers in neuroanatomy (05-11-2015)“…To stimulate progress in automating the reconstruction of neural circuits, we organized the first international challenge on 2D segmentation of electron…”
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Increasing segmentation performance with synthetic agar plate images
Published in Heliyon (15-02-2024)“…Agar plate analysis is vital for microbiological testing in industries like food, pharmaceuticals, and biotechnology. Manual inspection is slow, laborious, and…”
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Analysis of the Nosema Cells Identification for Microscopic Images
Published in Sensors (Basel, Switzerland) (28-04-2021)“…The use of image processing tools, machine learning, and deep learning approaches has become very useful and robust in recent years. This paper introduces the…”
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Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation
Published in Applied sciences (25-01-2019)“…The 3D image segmentation is the process of partitioning a digital 3D volumes into multiple segments. This paper presents a fully automatic method for high…”
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COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques
Published in IEEE access (2021)“…Early detection of COVID-19 positive people are now extremely needed and considered to be one of the most effective ways how to limit spreading the infection…”
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Clinical presentation and pulmonary function tests in post-acute COVID-19 patients
Published in Biomedical papers of the Medical Faculty of the University Palacký, Olomouc, Czechoslovakia (01-06-2023)“…Aims. The study analysed post-acute COVID-19 symptoms and the pulmonary function test (PFT) results in patients surviving the native strain of the virus…”
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Multi-Frame Labeled Faces Database: Towards Face Super-Resolution from Realistic Video Sequences
Published in Applied sciences (01-10-2020)“…Forensically trained facial reviewers are still considered as one of the most accurate approaches for person identification from video records. The human brain…”
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Novel Method for Localization of Common Carotid Artery Transverse Section in Ultrasound Images Using Modified Viola-Jones Detector
Published in Ultrasound in medicine & biology (01-10-2013)“…Abstract This article describes a novel method for highly accurate and effective localization of the transverse section of the carotis comunis artery in…”
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The effectiveness of glucocorticoid treatment in post-COVID-19 pulmonary involvement
Published in Pneumonia (05-02-2024)“…Persistent respiratory symptoms following Coronavirus Disease 2019 (COVID-19) are associated with residual radiological changes in lung parenchyma, with a risk…”
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Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19
Published in Diagnostics (Basel) (16-05-2023)“…Pulmonary fibrosis is one of the most severe long-term consequences of COVID-19. Corticosteroid treatment increases the chances of recovery; unfortunately, it…”
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Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
Published in Scientific reports (09-06-2017)“…In this work, we proposed a new data acquisition approach that significantly improves the repetition rates of Laser-Induced Breakdown Spectroscopy (LIBS)…”
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Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor
Published in Data (Basel) (01-06-2021)“…This work is a data descriptor paper for measurements related to various operational aspects of LoRaWAN communication technology collected in Brno, Czech…”
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Evaluation of Natural Robustness of Best Constant Weights to Random Communication Breakdowns
Published in Journal of Communications Software and Systems (01-09-2018)“…One of the most crucial aspects of an algorithmdesign for the wireless sensors networks is the failure tolerance.A high natural robustness and an effectively…”
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Multi–GPU Implementation of Machine Learning Algorithm using CUDA and OpenCL
Published in International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems (10-06-2016)“…Using modern Graphic Processing Units (GPUs) becomes very useful for computing complex and time consuming processes. GPUs provide high–performance computation…”
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Detection of post-COVID-19-related pulmonary diseases in X-ray images using Vision Transformer-based neural network
Published in Biomedical signal processing and control (01-01-2024)“…Computer methods related to the diagnosis of COVID-19 disease have progressed significantly in recent years. Chest X-ray analysis supported by artificial…”
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Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network
Published in Computer methods and programs in biomedicine (01-12-2020)“…•Efficient Diagnosis of multi-cardiac disorders from PCG signals using deep learning.•Multi-classification using with and without augmentation…”
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