Cybercrime: identification and prediction using machine learning techniques

K Veena, K Meena, R Kuppusamy… - Computational …, 2022 - Wiley Online Library
In the world of cyber age, cybercrime is spreading its root extensively. Supervised
classification methods such as the support vector machine (SVM) and K‐nearest neighbor …

Playing Flappy Bird Based on Motion Recognition Using a Transformer Model and LIDAR Sensor

I Dirgová Luptáková, M Kubovčík, J Pospíchal - Sensors, 2024 - mdpi.com
A transformer neural network is employed in the present study to predict Q-values in a
simulated environment using reinforcement learning techniques. The goal is to teach an …

[PDF][PDF] A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms.

S Gupta, M Kaur, S Lakra, Y Dixit - Webology, 2020 - academia.edu
With the explosion of data in recent times, Machine learning has emerged as one of the most
important methodical approaches to observe significant insights from the vast amount of …

Model of education and training strategy for the high performance computing

J Škrinárová, E Vesel - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
This work focuses on the issue of a high performance computing education based on
systems such as grid, cloud, HPC cluster or systems with hybrid environments. The goal is …

Use of machine learning for the unknown values in database transformation processes

M Kvet, R Čerešňák, V Šalgová - 2021 Communication and …, 2021 - ieeexplore.ieee.org
Relational databases have fulfilled the role of a primary data repository for decades. With the
development of modern technologies, the type of databases has come to the forefront which …

Identification of Collision Situations for Higher Efficiency of Traffic Control System

J Růžička, T Tichý, E Hajčiarová… - 2024 Smart City …, 2024 - ieeexplore.ieee.org
An integral part of modern cities within Smart City concepts is the development and related
innovations in traffic control systems. New proposals need to be carried out in accordance …

Heterogeneous Cloud Systems and Criteria for Enhanced Performance

J Škrinárová - … IEEE 16th International Scientific Conference on …, 2022 - ieeexplore.ieee.org
Cloud systems are managed on the basis of au-tonomous systems. We present criteria that
are suitable for optimization or improvement of modern cloud systems. In every operating …

Implementation and evaluation of scheduling algorithm based on PSO HC for elastic cluster criteria

J Skrinarova - Central European Journal of computer science, 2014 - Springer
This paper analyses basic concept of elastic cluster as a hybrid solution of high-performance
computing tasks for computing grid and cloud. The analysis is focused on the context of …

[图书][B] Creativity in Intelligent Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15-17, 2015. Proceedings

A Kravets, M Shcherbakov, M Kultsova, O Shabalina - 2015 - Springer
At all stages of the development of education it is important to solve the strategic task of
providing the quality of education. It should be noted that in recent years, a large number of …

[PDF][PDF] SITUATION MODEL OF THE TRANSPORT, TRANSPORT EMISSIONS AND METEOROLOGICAL CONDITIONS

V Beneš, M Svıtek, A Michalıková… - Neural Network …, 2024 - researchgate.net
Air pollution in cities and the possibilities of reducing this pollution represent one of the most
important factors that today's society has to deal with. This paper focuses on a systemic …