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2020 – today
- 2023
[c8]Giovanni Barbarani, Mohamad Mostafa, Hajali Bayramov, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone
, Barbara Caputo:
Are Local Features All You Need for Cross-Domain Visual Place Recognition? CVPR Workshops 2023: 6155-6165- [i1]Giovanni Barbarani, Mohamad Mostafa, Hajali Bayramov, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone, Barbara Caputo:
Are Local Features All You Need for Cross-Domain Visual Place Recognition? CoRR abs/2304.05887 (2023) - 2021
- [j5]Mohamad Mostafa, Somayyeh Chamaani:
Unobtrusive human activity classification based on combined time-range and time-frequency domain signatures using ultrawideband radar. IET Signal Process. 15(8): 543-561 (2021)
2010 – 2019
- 2019
- [c7]Mohamad Mostafa, Mohammad Saeed Dayari, Somayyeh Chamaani, Vahid Meghdadi, Oussama Habachi, Yannis Pousset:
IoT-Based Vital Sign Monitoring Using UWB Sensor. UNet 2019: 136-145 - 2018
- [j4]Mohamad Mostafa, Miguel A. Bellido-Manganell, Thomas Gräupl:
Feasibility of Cell Planning for the L-Band Digital Aeronautical Communications System Under the Constraint of Secondary Spectrum Usage. IEEE Trans. Veh. Technol. 67(10): 9721-9733 (2018) - 2017
- [j3]Mohamad Mostafa:
Stability Proof of Iterative Interference Cancellation for OFDM Signals With Blanking Nonlinearity in Impulsive Noise Channels. IEEE Signal Process. Lett. 24(2): 201-205 (2017) - [j2]Giuseppe Oliveri, Mohamad Mostafa, Werner G. Teich, Jürgen Lindner, Hermann Schumacher:
Advanced Low Power High Speed Nonlinear Signal Processing: An Analog VLSI Example. J. Signal Process. Syst. 89(1): 163-180 (2017) - 2014
- [b1]Mohamad Mostafa:
Equalization and decoding - a continuous-time dynamical approach. University of Ulm, Der Andere Verlag 2014, ISBN 978-3-86247-503-2, pp. 1-166 - [j1]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Local Stability Analysis of Discrete-Time, Continuous-State, Complex-Valued Recurrent Neural Networks With Inner State Feedback. IEEE Trans. Neural Networks Learn. Syst. 25(4): 830-836 (2014) - [c6]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Approximation of activation functions for vector equalization based on recurrent neural networks. ISTC 2014: 52-56 - 2013
- [c5]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Comparison of belief propagation and iterative threshold decoding based on dynamical systems. ISIT 2013: 2995-2999 - [p1]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Stability Analysis of Vector Equalization Based on Recurrent Neural Networks. Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering 2013: 329-349 - 2012
- [c4]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Vector equalization based on continuous-time recurrent neural networks. ICSPCS 2012: 1-7 - [c3]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Analysis of high order recurrent neural networks for analog decoding. ISTC 2012: 116-120 - 2011
- [c2]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Global vs. local stability of recurrent neural networks as vector equalizer. ICSPCS 2011: 1-5 - 2010
- [c1]Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
A modified discrete recurrent neural network as vector detector. APCCAS 2010: 620-623
Coauthor Index
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