Norbert Ádám

Area–accuracy evaluation of a quantized attention head on a resource-constrained FPGA

Tomáš Danko, Norbert Ádám

sk (code pays fourni par la source)

Security Evaluation of Communication Protocols in Wireless Sensor Networks for Smart Building Environments

Zoltán Balogh, Zsolt Čonka, Ladislav Fözö, Norbert Ádám et autres

hu, sk, cz, al (code pays fourni par la source)

DDoS Attack Detection Using Machine Learning

Dušan Čatloch, Eva Chovancová, Norbert Ádám, Sylvia Maťašová

This paper presents a practical application of machine learning techniques for the detection of Distributed Denial of Service (DDoS) attacks in network traffic. The goal of the research is to evaluate the effectiveness of selected classification models, which are Logistic Regression, Decision …

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Benchmarking AI Models for Grading CS Assignments Across Multiple Domains

Marek Horváth, Lukáš Tomaščík, Nikola Geciová, Norbert Ádám et autres

Comparative evaluation of filtration techniques for ECG signal denoising with emphasis on stationary wavelet transform

Norbert Ádám, Dávid Vaľko, Zoltán Balogh, Branislav Madoš et autres

This paper explores filtration techniques for processing ECG signals, focusing on the evaluation of effective denoising methods. We highlight the effectiveness of Stationary Wavelet Transform as the most suitable approach for denoising ECG signals while preserving critical cardiac features. Stationary Wavelet Transform's …

sk, hu (code pays fourni par la source)

Procedural Content Generator of a Polygonal Surface Models of Trees

Peter Poprík, Branislav Madoš, Norbert Ádám, Heidar Khorshidiyeh et autres

This work deals with the issue of procedural content generation in the field of computer games, focusing on the generation of polygonal surface models of trees. As part of the work, an algorithm for a procedural content generator was created, using a …

sk (code pays fourni par la source)

ETL Model for Pandemic Data Processing

Lukáš Tomaščík, Norbert Ádám, Nikola Geciová, Branislav Madoš et autres

This paper presents the development and implementation of an Extract-Transform-Load (ETL) model aimed at processing pandemic data. The model gathers data from various official sources, transforms it for easy analysis, and provides insights through graphical representations. Implemented using Python, the system automates …

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Procedural Content Generator for Generating a 3D Graphical Representation of the River Model

Alzbeta Sklenáriková, Branislav Madoš, Norbert Ádám, Heidar Khorshidiyeh et autres

This work deals with procedural content generation, specializing in content generation in the fields of computer graphics and computer games. Even more precisely, it deals with the procedural generation of three-dimensional polygonal surface models of rivers. In the introductory part, the paper …

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Game-Creative Learning in Programming Courses Over 15 Years

Emília Pietriková, Norbert Ádám, Anton Baláž

This article highlights the impact of game creation on an introductory programming course (CS0, CS1) combined with problem-based learning.It introduces and defines the Game-Creative Learning (GCL) approach, which gradually transforms traditional 'learning from scratch' methods into an innovative framework where students develop …

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Parameter Optimization in Sparse Voxel DAGs for Efficient Geometry Representation of Voxelized 3D Scenes

Branislav Madoš, Norbert Ádám, Eva Chovancová, Heidar Khorshidiyeh et autres

This paper addresses the issue of geometry representation of voxelized threedimensional scenes, using domain-specific hierarchical data structures, utilizing lossless compression.It discusses the details of the sparse voxel directed acyclic graph hierarchical data structure with implemented child node pointers, including a detailed analysis …

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n-Dimensional Sparse Voxel Trees for Compact Representation of Dimensionally Upscaled Voxelized Three-Dimensional Scenes

Branislav Madoš, Heidar Khorshidiyeh, Martin Chovanec, Norbert Ádám et autres

This paper addresses the issue of how to represent the geometry of voxelized threedimensional scenes using domain-specific hierarchical data structures.It provides a comprehensive overview of these data structures, delving into the specifics of sparse voxel octrees in greater depth.Then, it discusses the …

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Design and Implementation of a Cognitive Cloud Assistant: A Text Classification Model Approach

Dávid Vaľko, Jakub Kipikaša, Norbert Ádám, Heidar Khorshidiyeh

Abstract The main objective of this research was to develop a classification model for the design of a cloud cognitive assistant. The classification model should be able to classify the textual description of the cloud architecture into desired multiple classes. For the …

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