A5024813764- COVID-19 epidemiological studies
- COVID-19 Clinical Research Studies
- Fractal and DNA sequence analysis
- Image Retrieval and Classification Techniques
- Mathematical Dynamics and Fractals
- Influenza Virus Research Studies
- COVID-19 Pandemic Impacts
- Advanced Multi-Objective Optimization Algorithms
- Forecasting Techniques and Applications
- Global Security and Public Health
- Building Energy and Comfort Optimization
- Advanced Image and Video Retrieval Techniques
- Geological Modeling and Analysis
- COVID-19 and healthcare impacts
- Image and Object Detection Techniques
- Computer Graphics and Visualization Techniques
- Image Processing Techniques and Applications
- Cell Image Analysis Techniques
- 3D Modeling in Geospatial Applications
- Data-Driven Disease Surveillance
- Metaheuristic Optimization Algorithms Research
Wrocław University of Science and Technology
2015-2024
AGH University of Krakow
2018-2024
Abstract Disease modelling has had considerable policy impact during the ongoing COVID-19 pandemic, and it is increasingly acknowledged that combining multiple models can improve reliability of outputs. Here we report insights from ten weeks collaborative short-term forecasting in Germany Poland (12 October–19 December 2020). The study period covers onset second wave both countries, with tightening non-pharmaceutical interventions (NPIs) subsequently a decay (Poland) or plateau renewed...
Abstract On the basis of a semi-realistic SIR microsimulation for Germany and Poland, we show that R 0 parameter interval which COVID-19 epidemic stays overcritical but below capacity limit health care system to reach herd immunity is so narrow successful implementation this strategy likely fail, in contrast results obtained from classical differential equation models. Our based on official census data involves household composition age distribution as main population structure variables....
Abstract Background Estimating the actual number of COVID-19 infections is crucial for steering through pandemic crisis. It is, however, notoriously difficult, as many cases have no or only mild symptoms. Surveillance data in-household secondary offers unbiased samples prevalence estimation. Methods We analyse 16 115 Polish surveillance records to obtain key figures pandemic. propose conservative upper and lower bound estimators SARS-CoV-2 infections. Further, we estimate age-dependent...
Symmetry is an omnipresent transformation in both nature and man-made objects. It remarkable how human beings are capable of detecting recognizing symmetries the surrounding world without hesitation much apparent mental effort. On other hand, teaching a machine to perform same task has been challenging, resulting variety approaches algorithms. In this paper we appeal information theory obtain novel general principle for symmetry detection. Folding image half along line that coincides with...
In this paper we observe that information theoretical concepts are valuable tools for extracting from images and, in particular, on image symmetries. It is shown the problem of detecting reflectional and rotational symmetries a two-dimensional can be reduced to point-symmetry periodicity one-dimensional negentropy functions. Based these findings detector global greyscale constructed. We discuss importance high precision symmetry detection applications arising quality control illustrate how...
Presence of symmetry is utilized in multiple machine vision systems to help achieve their goals. In numerous scenarios, this goal verify that certain indeed exhibited by an image. However, we find there a shortage methods for verification would be capable asserting arbitrary reflectional or rotational symmetry. Using detectors merely perform improvident and not justified. We thus propose novel statistical test fulfills the requirement versatility. The proposed based on principle if image...
Background: Estimating the actual number of COVID-19 infections is crucial for steering through pandemic crisis. It is, however, notoriously difficult, as many cases have no or only mild symptoms. Surveillance data in-household secondary offers unbiased samples prevalence estimation. Methods: We analyse 16115 Polish surveillance records to obtain key figures pandemic. propose conservative upper and lower bound estimators SARS-CoV-2 infections. Further, we estimate age-dependent bounds on...