Marius Portmann

◀ ▶ joint publications with Seyedehfaezeh Hosseininoorbin

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Publications

2023
[j32]
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Exploring Edge TPU for deep feed-forward neural networks. Internet Things 22: 100749 (2023)
[j31]
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation. Internet Things 22: 100816 (2023)
[j29]
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann:
Exploring edge TPU for network intrusion detection in IoT. J. Parallel Distributed Comput. 179: 104712 (2023)
2021
[j21]
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Paul L. Greenwood, Marius Portmann:
Deep learning-based cattle behaviour classification using joint time-frequency data representation. Comput. Electron. Agric. 187: 106241 (2021)
[c66]
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  - conf/percom/Hosseininoorbin21
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. PerCom Workshops 2021: 572-578
[i25]
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  - journals/corr/abs-2103-16295
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann:
Exploring Edge TPU for Network Intrusion Detection in IoT. CoRR abs/2103.16295 (2021)
[i18]
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  - journals/corr/abs-2110-08826
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Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Marius Portmann:
Exploring Deep Neural Networks on Edge TPU. CoRR abs/2110.08826 (2021)
2020
[i13]
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  - journals/corr/abs-2011-03381
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Seyedeh Fa'ezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy, Raja Jurdak, Greg Bishop-Hurley, Marius Portmann:
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation. CoRR abs/2011.03381 (2020)

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