Ewa Łazuka

Lublin University of Technology — Poland

Engineering · Physical Sciences

9h-index331citations32works1.92yr avg
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Research Topics

Advanced Chemical Sensor Technologies(5), Graph Labeling and Dimension Problems(5), Photovoltaic System Optimization Techniques(3), Building materials and conservation(3), graph theory and CDMA systems(3)

Publications32 total

Prediction of Photovoltaic Module Characteristics by Machine Learning for Renewable Energy Applications
Applied Sciences·2025· 1 citedOpen Access
Prediction of Photovoltaic Module Characteristics By Machine Learning for Renewable Energy Applications
Preprints.org·2025Open Access
The Use of 3D Printing Filaments to Build Moisture Sensors in Porous Materials
Materials·2024· 3 citedOpen Access
The mold infestation of buildings classified by Kohonen Self-Organizing Maps with boundaries determined by Ward clustering using multidimensional data from gas sensors
Journal of Physics Conference Series·2024Open Access
Evolution of Regional Innovation Strategies Towards the Transition to Green Energy in Europe 2014–2027
Energies·2024· 6 citedOpen Access
Automatic Image Analysis Method as a Tool to Evaluate the Anisotropy of Autoclaved Aerated Concrete for Moisture and Heat Transport
Materials·2024· 2 citedOpen Access
Application of Machine Learning to Predict I-V Characteristics of PV Modules Based on Steady-State Solar Simulator
Preprints.org·2024· 1 citedOpen Access
Application of automatic image analysis to evaluate the anisotropy of autoclaved aerated concrete for moisture transport
Journal of Physics Conference Series·2023· 1 citedOpen Access
Application of Dimensionality Reduction and Machine Learning Methods for the Interpretation of Gas Sensor Array Readouts from Mold-Threatened Buildings
Applied Sciences·2023· 5 citedOpen Access
Sequential algorithm of building the regression-classification model for total nitrogen simulation: application of machine learning
Desalination and Water Treatment·2023Open Access
Environmental Engineering Applications of Electronic Nose Systems Based on MOX Gas Sensors
Sensors·2023· 76 citedOpen Access
Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning
PLoS ONE·2023· 39 citedOpen Access
Evaluating the Use of Intelligent Irrigation Systems Based on the IoT in Grain Corn Irrigation
Water·2023· 39 citedOpen Access
Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater Treatment
Sensors·2023· 41 citedOpen Access
Consumer Awareness of Renewable Energy Sources: The Case of Poland
Energies·2022· 7 citedOpen Access
Flood occurrence analysis in small urban catchments in the context of regional variability
PLoS ONE·2022· 5 citedOpen Access
The Applications of Graph Algorithms to Modeling of Integrated Urban Water Management System
Advances in Science and Technology – Research Journal·2022Open Access
Spatial Distribution of Ciliate Assemblages in a Shallow Floodplain Lake with an Anaerobic Zone
Water·2022· 5 citedOpen Access
Determination of Time Domain Reflectometry Surface Sensors Sensitivity Depending on Geometry and Material Moisture
Sensors·2022· 13 citedOpen Access
Prediction of Wastewater Quality at a Wastewater Treatment Plant Inlet Using a System Based on Machine Learning Methods
Processes·2022· 17 citedOpen Access
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Frequent Co-authors

Grzegorz Łagód(13), Magdalena Piłat-Rożek(7), Bartosz Szeląg(7), Dariusz Majerek(5), Anita Białek(5), Zbigniew Suchorab(5), Izolda Gorgol(5), Joanna Szulżyk-Cieplak(4), Hamed Karami(3), Magdalena Paśnikowska-Łukaszuk(3), Rafał Porowski(3), Robert Kowalik(3), Tomasz Gorzelnik(3), Diana Komendołowicz(3), Ali Khorramifar(2), Jesús Lozano(2), Mieczysław Borowiecki(2), Ewa Drgas‐Burchardt(2), Paweł Wlaź(2), Łukasz Guz(2)