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Disambiguation of "Rymarczyk, Tomasz"

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The use of heterogeneous deep neural network system in radio tomography to detect people indoors.

, , , and . MobiCom, page 859-861. ACM, (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Tomasz Kupka

Ascheablagerungsprobleme bei der Mitverbrennung von alternativen Brennstoffen in Steinkohlekraftwerken. TU Clausthal-Zellerfeld, (2009)

Tomasz Wocjan

Dynamics of DNA in nucleosomes and plasmids studied by Brownian dynamics. Uni Heidelberg, (2009)

Beate Maria Rymarczyk

Tomasz Mistrzyk

Tomasz Zyss

 

Other publications of authors with the same name

Logistic Regression for Machine Learning in Process Tomography., , , and . Sensors, 19 (15): 3400 (2019)Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods., , and . IEEE Trans. Instrum. Meas., (2024)Electrical impedance tomography in 3D flood embankments testing - elastic net approach., , and . Trans. Inst. Meas. Control, 42 (4): 680-690 (2020)An Ultrasound Tomography Method for Monitoring CO2 Capture Process Involving Stirring and CaCO3 Precipitation., , , , and . Sensors, 21 (21): 6995 (2021)Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking., , , , , and . Sensors, 23 (3): 1553 (February 2023)Electrical impedance tomography bladder monitoring wearable device., , , , , and . UbiComp/ISWC Adjunct, page 63-64. ACM, (2022)Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls., , and . SenSys, page 861-862. ACM, (2022)Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography., , and . IST, page 1-6. IEEE, (2018)Cross-Modal Perception for Customer Service., , , , and . MobiCom, page 144:1-144:3. ACM, (2023)Deep learning model optimization for faster inference using multi-task learning for embedded systems., , , and . MobiCom, page 892-893. ACM, (2022)