| Human activity classification with frequency modulated continuous wave radar using deep convolutional neural networks R Hernangómez, A Santra, S Stańczak 2019 International Radar Conference (RADAR), 1-6, 2019 | 24 | 2019 |
| Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction A Palaios, P Geuer, J Fink, DF Külzer, F Göttsch, M Kasparick, ... 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021 | 17 | 2021 |
| Improving radar human activity classification using synthetic data with image transformation R Hernangómez, T Visentin, L Servadei, H Khodabakhshandeh, ... Sensors 22 (4), 1519, 2022 | 10 | 2022 |
| Berlin V2X: A machine learning dataset from multiple vehicles and radio access technologies R Hernangómez, P Geuer, A Palaios, D Schäufele, C Watermann, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | 9 | 2023 |
| Domain adaptation across configurations of fmcw radar for deep learning based human activity classification H Khodabakhshandeh, T Visentin, R Hernangómez, M Pütz 2021 21st International Radar Symposium (IRS), 1-10, 2021 | 6 | 2021 |
| Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches A Palaios, CL Vielhaus, DF Külzer, C Watermann, R Hernangomez, ... IEEE Access, 2023 | 3 | 2023 |
| The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction A Palaios, CL Vielhaus, DF Külzer, C Watermann, R Hernangomez, ... arXiv e-prints, arXiv: 2302.11966, 2023 | 3 | 2023 |
| Study on feature processing schemes for deep‐learning‐based human activity classification using frequency‐modulated continuous‐wave radar R Hernangómez, A Santra, S Stańczak IET Radar, Sonar & Navigation 15 (8), 932-944, 2021 | 3 | 2021 |
| Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets R Hernangómez, A Palaios, C Watermann, D Schäufele, P Geuer, ... IEEE Communications Magazine 62 (4), 90-95, 2024 | 2 | 2024 |
| Multi-scatter-point target estimation for sensing-assisted OTFS automotive communication SK Dehkordi, JC Hauffen, P Jung, R Hernangomez, G Caire, S Stanczak WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th …, 2023 | 2 | 2023 |
| Online QoS estimation for vehicular radio environments R Hernangómez, A Palaios, G Guruvayoorappan, M Kasparick, NU Ain, ... 2022 30th European Signal Processing Conference (EUSIPCO), 1701-1705, 2022 | 2 | 2022 |
| Analysis of wireless measurements and sensor data for autonomous mobility in industrial environments H Herlianto, R Hernangómez, IW Keusgen Technische Universität Berlin, 2023 | 1 | 2023 |
| Requirements and Partitioning of Otoacoustic Emission Measurement Algorithms R Hernangómez | 1 | 2017 |
| Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication R Hernangómez, J Fink, RLG Cavalcante, Z Utkovski, S Stańczak arXiv preprint arXiv:2404.08455, 2024 | | 2024 |
| QoS prediction in radio vehicular environments via prior user information NU Ain, R Hernangómez, A Palaios, M Kasparick, S Stańczak arXiv preprint arXiv:2402.17689, 2024 | | 2024 |
| Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal P Rosemann, S Partani, M Miranda, J Mähn, M Karrenbauer, W Meli, ... arXiv preprint arXiv:2311.11623, 2023 | | 2023 |
| Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy R Hernangómez, I Bjelaković, L Servadei, S Stańczak 2022 30th European Signal Processing Conference (EUSIPCO), 1566-1570, 2022 | | 2022 |
| AI techniques applied to radar Classification (1) Deep Learning R Hernangómez, A Santra, S Stanczak, J Weiß, M Hekrdla, A Heřmánek, ... | | |
Slawomir StanczakTechnische Universität Berlin and Fraunhofer HHIVerified email at tu-berlin.de
