Máté Tömösközi

In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks pdf

Frank H. P. Fitzek, Máté Tömösközi, Huanzhuo Wu, 2021, 2021 IEEE Global Communications Conference (GLOBECOM).

On the joint design of compressed sensing and network coding for wireless communications

Frank H. P. Fitzek, Anil Kumar Chorppath, Máté Tömösközi, 2019, Trans. Emerg. Telecommun. Technol..

Low-latency Sliding-window Recoding

Frank H. P. Fitzek, Hani Salah, Máté Tömösközi, 2021, 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring).

SpaRec: Sparse Systematic RLNC Recoding in Multi-hop Networks

Frank H. P. Fitzek, Martin Reisslein, Dongho You, 2021, IEEE Access.

You Only Hear Once: Lightweight In-Network AI Design for Multi-object Anomaly Detection

F. Fitzek, Huanzhuo Wu, Jiajing Zhang, 2022, 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).

Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis

Frank H. P. Fitzek, Máté Tömösközi, Huanzhuo Wu, 2021, 2021 IEEE International Conference on Communications Workshops (ICC Workshops).

Experimental Proof of the Energy Advantage of In-Network Intelligence

Huanzhuo Wu, R. Bassoli, Jiajing Zhang, 2022, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).