Bartosz Kowal

Teaching and Research Assistant

Rzeszów University

Poland

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About

Bartosz Kowal is a Teaching and Research Assistant at Rzeszów University of Technology in Poland. His research areas include machine learning applications in forecasting sewage amounts, biogas production prediction, and incident detection in software-defined networks. He has published articles on power law distributions in cache memory, statistical dependencies in computer systems, and the integration of payment systems in the metaverse.

Articles (12)

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2020

Collaborators (7)

Krzysztof Doerffer

assistant professor

University of Gdańsk

POLAND

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Andrzej Paszkiewicz

Associate Professor

Rzeszów University

POLAND

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Paweł Kuraś

Teaching and Research Assistant

Rzeszów University

POLAND

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Radomir Perzina

Silesian University in Opava, School of Business Administration in Karviná

CZECH REPUBLIC

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Adam Masłoń

Rzeszów University

POLAND

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Marek Bolanowski

Associate Professor

Rzeszów University

POLAND

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Runar Unnthorsson

ICELAND

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Bartosz Kowal

Research Interests

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About

Articles (12)

Machine Learning in Forecasting the Amount of Sewage for the Wastewater Treatment Plant of the City of Rzeszów Based on Weather Conditions

Power law distributions evidences in cache memory bytes – Windows performance counter

Integration of payment systems in the metaverse – challenges and the future of e-commerce in the virtual

IOT COMMUNICATION SECURITY: CHALLENGES AND SOLUTIONS

REDUCE—A Tool Supporting Inconsistencies Reduction in the Decision-Making Process

Machine Learning-Based Prediction of Biogas Production from Sludge Characteristics in Four Anaerobic Digesters: Development of the AD2Biogas Prediction Tool

Detection of Incidents and Anomalies in Software-Defined Network – Based Implementations of Critical Infrastructure Resulting in Adaptive System Changes

Statistical Long-Range Dependencies and Statistical Self-Similarity in Computer Systems Processing – The Case of Cache Bytes Counter

REDUCE – A Python Module for Reducing Inconsistency in Pairwise Comparison Matrices

The Latest Advances in Wireless Communication in Aviation, Wind Turbines and Bridges

A Numerical Comparison of Iterative Algorithms for Inconsistency Reduction in Pairwise Comparisons

A New Step-by-Step (SBS) Algorithm for Inconsistency Reduction in Pairwise Comparisons

Collaborators (7)

Krzysztof Doerffer

Andrzej Paszkiewicz

Paweł Kuraś

Radomir Perzina

Adam Masłoń

Marek Bolanowski

Runar Unnthorsson

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