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Mathematical Evaluation of Passenger and Freight Rail Transport as Viewed Through the COVID-19 Pandemic and the War in Ukraine Situation.
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- Advances in Science & Technology Research Journal, 2024, v. 18, n. 4, p. 238, doi. 10.12913/22998624/188503
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Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings.
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- Energies (19961073), 2024, v. 17, n. 11, p. 2757, doi. 10.3390/en17112757
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Integrating Sensor Systems and Signal Processing for Sustainable Production: Analysis of Cutting Tool Condition.
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- Electronics (2079-9292), 2024, v. 13, n. 1, p. 185, doi. 10.3390/electronics13010185
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Algorithms for Optimizing Energy Consumption for Fermentation Processes in Biogas Production.
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- Energies (19961073), 2023, v. 16, n. 24, p. 7972, doi. 10.3390/en16247972
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Modeling the dynamics of changes in CO<sub>2</sub> emissions from Polish road transport in the context of COVID-19 and decarbonization requirements.
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- Combustion Engines (2300-9896), 2023, v. 195, n. 4, p. 63, doi. 10.19206/CE-169697
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Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2023, v. 25, n. 4, p. 134, doi. 10.17531/ein/172857
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A New Approach to Production Process Capability Assessment for Non-Normal Data.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 11, p. 6721, doi. 10.3390/app13116721
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SELECTED POLYNOMIAL IDENTIFICATION TECHNIQUES TO EVALUATE MARITIME TRANSPORT TRENDS AROUND COVID-19.
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- Scientific Journal of Silesian University of Technology. Series Transport / Zeszyty Naukowe Politechniki Slaskiej. Seria Transport, 2023, v. 120, p. 51, doi. 10.20858/sjsutst.2023.120.4
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Analysis of Reconstruction Energy Efficiency in EIT and ECT 3D Tomography Based on Elastic Net.
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- Energies (19961073), 2023, v. 16, n. 3, p. 1490, doi. 10.3390/en16031490
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Multisensor platform using industrial tomography for monitoring and control of technological processes.
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- Przeglad Elektrotechniczny, 2023, v. 99, n. 2, p. 165, doi. 10.15199/48.2023.02.29
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Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking.
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- Sensors (14248220), 2023, v. 23, n. 3, p. 1553, doi. 10.3390/s23031553
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Supply Sequence Modelling Using Hidden Markov Models.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 1, p. 231, doi. 10.3390/app13010231
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- Article
Identification of inclusions with LDA in the EIT.
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- Przeglad Elektrotechniczny, 2023, v. 99, n. 1, p. 241, doi. 10.15199/48.2023.01.49
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EVALUATION OF AIR TRAFFIC IN THE CONTEXT OF THE COVID-19 PANDEMIC.
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- Archives of Transport, 2022, v. 64, n. 4, p. 45, doi. 10.5604/01.3001.0016.1048
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3D lung segmentation of the CT series based on 2D Chan-Vese.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 5, p. 165, doi. 10.15199/48.2022.05.31
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Algorithmic methods of improving the imaging of flood embankments interior with the use of electrical tomography.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 5, p. 169, doi. 10.15199/48.2022.05.32
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Application of PCA with logistic regression in embankment drainage.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 4, p. 127, doi. 10.15199/48.2022.04.27
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Random forest method to identify seepage in flood embankments.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 2, p. 191, doi. 10.15199/48.2022.02.44
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Application of logit regression to the analysis of the state of the flood embankment.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 2, p. 195, doi. 10.15199/48.2022.02.45
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Using a classification tree to identify seepage in flood embankments.
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- Przeglad Elektrotechniczny, 2022, v. 98, n. 1, p. 11, doi. 10.15199/48.2022.01.21
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Influence of Contamination of Gear Oils in Relation to Time of Operation on Their Lubricity.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 24, p. 11835, doi. 10.3390/app112411835
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Application of Electrical Tomography Imaging Using Machine Learning Methods for the Monitoring of Flood Embankments Leaks.
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- Energies (19961073), 2021, v. 14, n. 23, p. 8081, doi. 10.3390/en14238081
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Logistic Regression with Wave Preprocessing to Solve Inverse Problem in Industrial Tomography for Technological Process Control.
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- Energies (19961073), 2021, v. 14, n. 23, p. 8116, doi. 10.3390/en14238116
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Classification Trees in the Assessment of the Road–Railway Accidents Mortality.
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- Energies (19961073), 2021, v. 14, n. 12, p. 3462, doi. 10.3390/en14123462
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Identification of the Demand Curve and Forecasts in Subsequent Periods Using the Metropolis-Hastings Algorithm.
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- European Research Studies, 2021, v. 24, p. 523, doi. 10.35808/ersj/2282
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The Use of Mathematical Models Describing the Spread of Covid-19 in Strategic State Security Management.
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- European Research Studies, 2020, v. 23, p. 82, doi. 10.35808/ersj/1855
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Electrical activity with ECG analysis for Body Surface Potential Mapping.
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- Przeglad Elektrotechniczny, 2020, v. 96, n. 10, p. 144, doi. 10.15199/48.2020.10.26
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Predictive Scheduling with Markov Chains and ARIMA Models.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 17, p. 6121, doi. 10.3390/app10176121
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The use of the autoencoder to improve images in ultrasound tomography.
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- Przeglad Elektrotechniczny, 2020, v. 96, n. 8, p. 160, doi. 10.15199/48.2020.08.33
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The use of LSTM networks in the detection of outliers in IoT-based air quality monitoring systems.
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- Przeglad Elektrotechniczny, 2020, v. 96, n. 5, p. 91, doi. 10.15199/48.2020.05.18
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Logistic regression in image reconstruction in electrical impedance tomography.
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- Przeglad Elektrotechniczny, 2020, v. 96, n. 5, p. 95, doi. 10.15199/48.2020.05.19
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APPLICATION OF THE LOGISTIC REGRESSION FOR DETERMINING TRANSITION PROBABILITY MATRIX OF OPERATING STATES IN THE TRANSPORT SYSTEMS.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2020, v. 22, n. 2, p. 192, doi. 10.17531/ein.2020.2.2.
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Electrical impedance tomography in 3D flood embankments testing – elastic net approach.
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- Transactions of the Institute of Measurement & Control, 2020, v. 42, n. 4, p. 680, doi. 10.1177/0142331219857374
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Machine learning in image reconstruction by multi-sensor electrodes.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 12, p. 188, doi. 10.15199/48.2019.12.42
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Application of multi-source data for process analysis in electrical tomography.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 12, p. 192, doi. 10.15199/48.2019.12.43
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Survival Function in the Analysis of the Factors Influencing the Reliability of Water Wells Operation.
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- Water Resources Management, 2019, v. 33, n. 14, p. 4909, doi. 10.1007/s11269-019-02419-0
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ASSESSMENT MODEL OF CUTTING TOOL CONDITION FOR REAL-TIME SUPERVISION SYSTEM.
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- Maintenance & Reliability / Eksploatacja i Niezawodność, 2019, v. 21, n. 4, p. 679, doi. 10.17531/ein.2019.4.18
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Logistic Regression for Machine Learning in Process Tomography.
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- Sensors (14248220), 2019, v. 19, n. 15, p. 3400, doi. 10.3390/s19153400
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Application of Gaussian Kernel with Regard to Correlations for Image Reconstruction in Electrical Tomography.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 5, p. 55, doi. 10.15199/48.2019.05.14
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- Article
Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography.
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- Sensors (14248220), 2019, v. 19, n. 7, p. 1521, doi. 10.3390/s19071521
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Industrial processes control with the use of a neural tomographic algorithm.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 2, p. 96, doi. 10.15199/48.2019.02.22
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Area monitoring using the ERT method with multisensor electrodes.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 1, p. 153, doi. 10.15199/48.2019.01.39
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Detection of seepages in flood embankments using the ElasticNET method.
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- Przeglad Elektrotechniczny, 2019, v. 95, n. 1, p. 157, doi. 10.15199/48.2019.01.40
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Implementation of the LARS method to solve the inverse problem in electrical tomography.
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- Przeglad Elektrotechniczny, 2018, v. 94, n. 12, p. 146, doi. 10.15199/48.2018.12.31
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The concept of the technological process control using a distributed industrial tomography system.
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- Przeglad Elektrotechniczny, 2018, v. 94, n. 12, p. 166, doi. 10.15199/48.2018.12.36
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A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings.
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- Sensors (14248220), 2018, v. 18, n. 7, p. 2285, doi. 10.3390/s18072285
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A PREDICTIVE MODEL OF MULTI-STAGE PRODUCTION PLANNING FOR FIXED TIME ORDERS.
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- Management & Production Engineering Review (MPER), 2014, v. 5, n. 3, p. 23, doi. 10.2478/mper-2014-0024
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Stabilization of linear systems in random horizon via control.
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- Control & Cybernetics, 2013, v. 42, n. 2, p. 527
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LQG MONOTONE FOLLOWER MODEL OF CHANGE CONTROL IN TURBULENT ENVIRONMENT.
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- Multiple Criteria Decision Making (20841531), 2009, p. 11
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