Krzysztof Walkowiak

About Krzysztof Walkowiak

Krzysztof Walkowiak, With an exceptional h-index of 31 and a recent h-index of 23 (since 2020), a distinguished researcher at Politechnika Wroclawska, specializes in the field of Optical Networks, Computer Networks, Optimization, Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures

Data-driven model for sliced 5G network dimensioning and planning, featured with forecast and" what-if" analysis

Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series

Long-term Traffic Forecasting in Optical Networks Using Machine Learning

Combining Random Forest and Linear Regression to Improve Network Traffic Prediction

Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System

AI-assisted dimensioning of 5G network slices–review and perspectives

Hyperparameters Optimization Using GridSearchCV Method for TinyML Models

Krzysztof Walkowiak Information

University

Position

Wroclaw University of Science and Technology ()

Citations(all)

4095

Citations(since 2020)

1922

Cited By

2999

hIndex(all)

31

hIndex(since 2020)

23

i10Index(all)

107

i10Index(since 2020)

57

Email

University Profile Page

Google Scholar

Krzysztof Walkowiak Skills & Research Interests

Optical Networks

Computer Networks

Optimization

Algorithms

Top articles of Krzysztof Walkowiak

Title

Journal

Author(s)

Publication Date

Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures

arXiv preprint arXiv:2404.05304

Omran Ayoub

Davide Andreoletti

Aleksandra Knapińska

Róża Goścień

Piotr Lechowicz

...

2024/4/8

Data-driven model for sliced 5G network dimensioning and planning, featured with forecast and" what-if" analysis

IEEE Access

Dominik Dulas

Justyna Witulska

Agnieszka Wyłomańska

Ireneusz Jabłoński

Krzysztof Walkowiak

2024/3/29

Traffic Weaver: semi-synthetic time-varying traffic generator based on averaged time series

arXiv preprint arXiv:2403.11388

Piotr Lechowicz

Aleksandra Knapińska

Adam Włodarczyk

Krzysztof Walkowiak

2024/3/18

Long-term Traffic Forecasting in Optical Networks Using Machine Learning

International Journal of Electronics and Telecommunications

Krzysztof Walkowiak

Daniel Szostak

Adam Włodarczyk

Andrzej Kasprzak

2023

Combining Random Forest and Linear Regression to Improve Network Traffic Prediction

Błażej Ułanowicz

Dawid Dopart

Aleksandra Knapińska

Piotr Lechowicz

Krzysztof Walkowiak

2023/7/2

Study of the Impact of Data Compression on the Energy Consumption Required for Data Transmission in a Microcontroller-Based System

Sensors

Dominik Piątkowski

Tobiasz Puślecki

Krzysztof Walkowiak

2023/12/30

AI-assisted dimensioning of 5G network slices–review and perspectives

Dominik Dulas

Krzysztof Walkowiak

2023

Hyperparameters Optimization Using GridSearchCV Method for TinyML Models

Tobiasz Puślecki

Krzysztof Walkowiak

2023/6/28

Agnostic Prediction of Multiple Types of Time-Varying Traffic in Optical Networks

Aleksandra Knapińska

Piotr Lechowicz

Salvatore Spadaro

Krzysztof Walkowiak

2023/12/4

On the Selection of a Machine Learning model in TinyML Devices–Preliminary Study

Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.

Tobiasz Puślecki

Krzysztof Walkowiak

2023

On advantages of traffic prediction and grooming for provisioning of time-varying traffic in multilayer networks

Aleksandra Knapińska

Piotr Lechowicz

Salvatore Spadaro

Krzysztof Walkowiak

2023/5/8

Incremental Recursive Ranking Grouping--A Decomposition Strategy for Additively and Nonadditively Separable Problems

Marcin Michal Komarnicki

Michal Witold Przewozniczek

Halina Kwasnicka

Krzysztof Walkowiak

2023/7/15

Data aggregation and clustering for traffic prediction in backbone optical networks

traffic [Gbps]

Aleksandra Knapinska

Piotr Lechowicz

Adam Włodarczyk

Krzysztof Walkowiak

2023

Link load prediction in an optical network with restoration mechanisms

Journal of Optical Communications and Networking

Aleksandra Knapińska

Róża Goścień

Piotr Lechowicz

Krzysztof Walkowiak

2023/5/1

Performance Analysis of Multilayer Optical Networks with Time-Varying Traffic

Aleksandra Knapińska

Piotr Lechowicz

Salvatore Spadaro

Krzysztof Walkowiak

2023/7/2

Cost-aware DU placement and flow routing in 5G packet xHaul networks

IEEE Access

Damian Mroziński

Mirosław Klinkowski

Krzysztof Walkowiak

2023/2/2

Performance Analysis of Network Slicing in Packet-Switched 5G xHaul Access Network

Damian Mroziński

Mirosław Klinkowski

Krzysztof Walkowiak

2023/7/2

Hybrid regression model for link dimensioning in spectrally-spatially flexible optical networks

IEEE Access

Szymon Wojciechowski

Róża Goścień

Paweł Ksieniewicz

Krzysztof Walkowiak

2022/5/16

Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning

Applied Soft Computing

Aleksandra Knapińska

Piotr Lechowicz

Weronika Węgier

Krzysztof Walkowiak

2022/11/1

TinyML-based concept system used to analyze whether the face mask is worn properly in battery-operated conditions

Applied Sciences

Dominik Piątkowski

Krzysztof Walkowiak

2022/1/4

See List of Professors in Krzysztof Walkowiak University(Politechnika Wroclawska)

Co-Authors

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