A5066148961- Network Security and Intrusion Detection
- Forecasting Techniques and Applications
- Advanced Decision-Making Techniques
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Information and Cyber Security
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Statistics Education and Methodologies
- Lichen and fungal ecology
- Graph theory and applications
- Early Childhood Education and Development
- Internet Traffic Analysis and Secure E-voting
- Traffic Prediction and Management Techniques
- SARS-CoV-2 and COVID-19 Research
- Knowledge Societies in the 21st Century
- Statistical and Computational Modeling
- Scientific Measurement and Uncertainty Evaluation
- Paleontology and Evolutionary Biology
- Network Packet Processing and Optimization
- Geology and Paleoclimatology Research
- COVID-19 epidemiological studies
- Gaussian Processes and Bayesian Inference
- Teaching and Learning Programming
- graph theory and CDMA systems
University of Pavol Jozef Šafárik
2014-2024
Universidad Andrés Bello
2022
Czech Academy of Sciences, Institute of Mathematics
2018
Abstract The usage of new and progressive technologies brings with it types security threats incidents. Their number is constantly growing.The current trend to move from reactive proactive activities. For this reason, the organization should be aware situation, including forecasting future state. main goal organizations, especially their operation centres, handle events, identify potential incidents, effectively forecast network situation awareness (NSSA). In paper, we focus on increasing...
Lichens are symbiotic organisms with an extraordinary capability to colonise areas of extreme climate and heavily contaminated sites, such as metal-rich habitats. have developed several mechanisms overcome the toxicity metals, including ability bind metal cations extracellular sites partners subsequently form oxalates. Calcium is essential alkaline earth element that important in various cell processes. can serve a ligand but be toxic at elevated concentrations. This study investigated...
With the increase in usage of computer systems and networks, problem intrusion detection network security has become an important issue. In this paper, we discuss approaches that simplify administrator’s work. We applied clustering methods for incident profiling. consider<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>K</mml:mi></mml:mrow></mml:math>-means, PAM, CLARA algorithms. For purpose, used data collected Warden system from various tools. do not aim...
Family and school factors are among the most important determinants of internalizing externalizing problem behavior in adolescents. The aim this study is to explore how certain family explain problems after one year. In addition individual-level variables, level variables taken into account. This multilevel was conducted 507 adolescents (mean age 13.44; 52.3% girls) who reported their (anxiety, depressive symptoms), (aggressive norm-breaking behavior), parental knowledge whereabouts, rule...
In extinct archosaurs, brain proportions have been inferred from the morphology of fossilized endocasts. Here we provide first neurocranial and paleoneurological description basal, small-bodied tyrannosauroid Dilong paradoxus compared with larger tyrannosaurids, like Tyrannosaurus rex. differs other tyrannosauroids in cerebral cerebellar regions, venous sinuses, superimposed position forebrain relative to rest endocast. Whereas endocasts show a more linear configuration likely contained...
As COVID-19 is spreading, national agencies need to monitor and track several metrics. Since we do not have perfect testing programs on the hand, one needs develop an advanced sampling strategies for prevalence study, control management. Here introduce REDACS: Regional emergency-driven adaptive cluster effective management justify its usage COVID-19. We show advantages over classical massive individual plans. also point out how regional spatial heterogeneity underlines proper sampling....
At present, there is still no officially accepted and extensively verified implementation of computing the gamma difference distribution allowing unequal shape parameters. We explore four computational ways with different parameters resulting from time series kriging, a forecasting approach based on best linear unbiased prediction mixed models. The results our numerical study, emphasis using open data science tools, demonstrate that algorithm implemented in high-performance Python(with...
In 2014, physicists and data scientists F. Perez B. Granger started an ambitious project Jupyter with goals of developing a powerful, universal open virtual interactive scientific environment. Today, is the most widely used technology for performing calculations, analysis, processing, reporting, but it has also become very important educational tool. Our article summarizes pedagogical technological aspects experience from using notebooks SageMath in our research teaching university courses...
In the contribution, we present our ideas supported by almost ten years of experience successfully applying and combining pedagogy with open digital technology in teaching university courses on statistics, random processes, metrology. Our approach relies R Python data science tools innovative strategies - an interdisciplinary STEM blended learning. Simultaneously, show that given helps students acquire computational skills immediately applicable to actual scientific work, as demonstrated...