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Timo Lähivaara

Showing results (1-10 of 11) with videos related to

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The Journal of the Acoustical Society of America|March 3, 2018
Effects of flow gradients on directional radiation of human voiceVille Pulkki, Timo Lähivaara, Ilkka Huhtakallio
Scientific Reports|March 31, 2023
Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effectVille Pulkki, Rapolas Daugintis, Timo Lähivaara, et al.
The Journal of the Acoustical Society of America|December 2, 2021
Model reduction in acoustic inversion by artificial neural networkJanne Koponen, Timo Lähivaara, Jari Kaipio, et al.
Sensors (Basel, Switzerland)|October 26, 2021
Microwave Tomography Using Neural Networks for Its Application in an Industrial Microwave Drying SystemRahul Yadav, Adel Omrani, Guido Link, et al.
The Journal of the Acoustical Society of America|March 3, 2018
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomographyTimo Lähivaara, Leo Kärkkäinen, Janne M J Huttunen, et al.
Sensors (Basel, Switzerland)|November 13, 2021
An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying SystemAdel Omrani, Rahul Yadav, Guido Link, et al.
The Journal of the Acoustical Society of America|November 2, 2019
Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in waterMatti Niskanen, Aroune Duclos, Olivier Dazel, et al.
Sensors (Basel, Switzerland)|November 13, 2021
System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance TomographyMarzieh Hosseini, Anna Kaasinen, Mahdi Aliyari Shoorehdeli, et al.
The Journal of the Acoustical Society of America|December 16, 2024
Bayesian reconstruction of surface shape from phaseless scattered acoustic dataMichael-David Johnson, Jacques Cuenca, Timo Lähivaara, et al.
Bone Reports|May 17, 2021
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learningTomi Nissinen, Sanna Suoranta, Taavi Saavalainen, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
The Journal of the Acoustical Society of America|March 3, 2018
Effects of flow gradients on directional radiation of human voiceVille Pulkki, Timo Lähivaara, Ilkka Huhtakallio
Scientific Reports|March 31, 2023
Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effectVille Pulkki, Rapolas Daugintis, Timo Lähivaara, et al.
The Journal of the Acoustical Society of America|December 2, 2021
Model reduction in acoustic inversion by artificial neural networkJanne Koponen, Timo Lähivaara, Jari Kaipio, et al.
Sensors (Basel, Switzerland)|October 26, 2021
Microwave Tomography Using Neural Networks for Its Application in an Industrial Microwave Drying SystemRahul Yadav, Adel Omrani, Guido Link, et al.
The Journal of the Acoustical Society of America|March 3, 2018
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomographyTimo Lähivaara, Leo Kärkkäinen, Janne M J Huttunen, et al.
Sensors (Basel, Switzerland)|November 13, 2021
An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying SystemAdel Omrani, Rahul Yadav, Guido Link, et al.
The Journal of the Acoustical Society of America|November 2, 2019
Estimating the material parameters of an inhomogeneous poroelastic plate from ultrasonic measurements in waterMatti Niskanen, Aroune Duclos, Olivier Dazel, et al.
Sensors (Basel, Switzerland)|November 13, 2021
System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance TomographyMarzieh Hosseini, Anna Kaasinen, Mahdi Aliyari Shoorehdeli, et al.
The Journal of the Acoustical Society of America|December 16, 2024
Bayesian reconstruction of surface shape from phaseless scattered acoustic dataMichael-David Johnson, Jacques Cuenca, Timo Lähivaara, et al.
Bone Reports|May 17, 2021
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learningTomi Nissinen, Sanna Suoranta, Taavi Saavalainen, et al.
Pageof 2