Výsledky vyhledávání - "Jurij Kuzmic"

Real-Time Object Detection with Intel NCS2 on Hardware with Limited Resources for Low-power IoT Devices

Autor: Jurij Kuzmic, Patrick Brinkmann, Günter Rudolph

Publikováno v: Proceedings of the 7th International Conference on Internet of Things, Big Data and Security.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d0616dc74fa9add847189f12830a228
https://doi.org/10.5220/0010979900003194

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Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds

Autor: Leonard Fricke, Jurij Kuzmic, Igor Vatolkin

Publikováno v: Proceedings of the 14th International Joint Conference on Computational Intelligence.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d27113d49c2a05d0a8428314f181fb0c
https://doi.org/10.5220/0011537400003332

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Real-time Distance Measurement in a 2D Image on Hardware with Limited Resources for Low-power IoT Devices (Radar Control System)

Autor: Jurij Kuzmic, Günter Rudolph

Publikováno v: Proceedings of the 3rd International Conference on Deep Learning Theory and Applications.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92303837b497dca9473b2ed89da4d179
https://doi.org/10.5220/0011188100003277

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Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator

Autor: Günter Rudolph, Jurij Kuzmic

Publikováno v: IoTBDS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85b48bbef6b80a7c0e4b1998337a134a
https://doi.org/10.5220/0010383701480155

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A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features

Autor: Benedikt Adrian, Jurij Kuzmic, Igor Vatolkin

Publikováno v: Artificial Intelligence in Music, Sound, Art and Design ISBN: 9783030729134
EvoMUSART

Deep neural networks have recently received a lot of attention and have very successfully contributed to many music classification tasks. However, they have also drawbacks compared to the traditional methods: a very high number of parameters, a decre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0835b4027326b6e2a027ff194d76c48c
https://doi.org/10.1007/978-3-030-72914-1_21

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Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices

Autor: Günter Rudolph, Jurij Kuzmic

Publikováno v: IJCCI

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e62ea18de1ce6c77e222be0e954821c
https://doi.org/10.5220/0010653500003063

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Unity 3D Simulator of Autonomous Motorway Traffic Applied to Emergency Corridor Building

Autor: Günter Rudolph, Jurij Kuzmic

Publikováno v: IoTBDS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06def738f9e7c45fba63a0f685ca600d
https://doi.org/10.5220/0009349601970204

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IoT based Driver Information System for Monitoring the Load Securing

Autor: Jurij Kuzmic, Walter Roth, Michael Rübsam, Günter Rudolph

Publikováno v: IoTBDS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d2e8af629886fd6b6af6df88bc35fe54
https://doi.org/10.5220/0007710302620269

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