Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography
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- Tomasz Rymarczyk & Konrad Niderla & Edward Kozłowski & Krzysztof Król & Joanna Maria Wyrwisz & Sylwia Skrzypek-Ahmed & Piotr Gołąbek, 2021. "Logistic Regression with Wave Preprocessing to Solve Inverse Problem in Industrial Tomography for Technological Process Control," Energies, MDPI, vol. 14(23), pages 1-21, December.
- Dariusz Majerek & Tomasz Rymarczyk & Dariusz Wójcik & Edward Kozłowski & Magda Rzemieniak & Janusz Gudowski & Konrad Gauda, 2021. "Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography," Energies, MDPI, vol. 14(22), pages 1-19, November.
- Adam Ryszard Zywica & Marcin Ziolkowski & Stanislaw Gratkowski, 2020. "Detailed Analytical Approach to Solve the Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) Problem for Three-Layer Objects," Energies, MDPI, vol. 13(24), pages 1-17, December.
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- Bartłomiej Baran & Tomasz Rymarczyk & Dariusz Majerek & Piotr Szyszka & Dariusz Wójcik & Tomasz Cieplak & Marcin Gąsior & Marcin Marczuk & Edmund Wąsik & Konrad Gauda, 2024. "Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms," Energies, MDPI, vol. 17(21), pages 1-15, October.
- Michał Styła & Edward Kozłowski & Paweł Tchórzewski & Dominik Gnaś & Przemysław Adamkiewicz & Jan Laskowski & Sylwia Skrzypek-Ahmed & Arkadiusz Małek & Dariusz Kasperek, 2024. "Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings," Energies, MDPI, vol. 17(11), pages 1-16, June.
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Keywords
deep learning; machine learning; inverse problems; tomography; Industry 4.0; energy consumption; energy optimization;All these keywords.
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