Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
staff:kuzmic [2022-02-16 11:16] kuzmic [Publikationen (Publications)] |
staff:kuzmic [2022-07-20 12:24] kuzmic [Publikationen (Publications)] |
||
|---|---|---|---|
| Line 22: | Line 22: | ||
| * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=BKnBZfyhNP4=&t=1 | Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator (2021)]] | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=BKnBZfyhNP4=&t=1 | Comparison between Filtered Canny Edge Detector and Convolutional Neural Network for Real Time Lane Detection in a Unity 3D Simulator (2021)]] | ||
| * [[https://link.springer.com/chapter/10.1007/978-3-030-72914-1_21 | A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features (2021)]] | * [[https://link.springer.com/chapter/10.1007/978-3-030-72914-1_21 | A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features (2021)]] | ||
| - | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=0uxF06kH1Tk=&t=1 | Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices (2022)]] | + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=0uxF06kH1Tk=&t=1 | Object Detection with TensorFlow on Hardware with Limited Resources for Low-power IoT Devices (2021)]] |
| + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=NSZXOf8qvd4=&t=1 | Real-Time Object Detection with Intel NCS2 on Hardware with Limited Resources for Low-power IoT Devices (2022)]] | ||
| + | * [[https://www.scitepress.org/PublicationsDetail.aspx?ID=NxXqeuSliVE=&t=1 | Real-time Distance Measurement in a 2D Image on Hardware with Limited Resources for Low-power IoT Devices (Radar Control System)]] | ||
| Line 69: | Line 71: | ||
| * Unterdrückung von Hintergrundgeräuschen in Sprachsignalen mit künstlichen neuronalen Netzen am Beispiel von Tastaturgeräuschen | * Unterdrückung von Hintergrundgeräuschen in Sprachsignalen mit künstlichen neuronalen Netzen am Beispiel von Tastaturgeräuschen | ||
| * Systematische Reward-Studie beim Reinforcement Learning eines Agenten in einer Avoid & Collect Umwelt. | * Systematische Reward-Studie beim Reinforcement Learning eines Agenten in einer Avoid & Collect Umwelt. | ||
| + | * Auswirkung verschiedener Reward-Werte auf das Agentenverhalten in einer Avoid & Collect Umwelt. | ||