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5 Publications


2021 | Conference Paper | LibreCat-ID: 25278
Afifi, H., Sauer, F. J., & Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21).
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2021 | Conference Paper | LibreCat-ID: 21479
Afifi, H., Ramaswamy, A., & Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2021).
LibreCat
 

2017 | Conference Paper | LibreCat-ID: 10780
Guettatfi, Z., Hübner, P., Platzner, M., & Rinner, B. (2017). Computational self-awareness as design approach for visual sensor nodes. In 12th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC) (pp. 1–8). https://doi.org/10.1109/ReCoSoC.2017.8016147
LibreCat | DOI
 

2016 | Journal Article | LibreCat-ID: 11886
Plinge, A., Jacob, F., Haeb-Umbach, R., & Fink, G. A. (2016). Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Processing Magazine, 33(4), 14–29. https://doi.org/10.1109/MSP.2016.2555198
LibreCat | DOI
 

2013 | Journal Article | LibreCat-ID: 17663
Cohen, R., Nudelman, I., & Polevoy, G. (2013). On the Admission of Dependent Flows in Powerful Sensor Networks. Networking, IEEE/ACM Transactions On, 21(5), 1461–1471. https://doi.org/10.1109/TNET.2012.2227792
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