Mohamad Mostafa

18 papers B 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Industrial cuVSLAM Benchmark & Integration.
CoRR
Charbel Abi Hana, Kameel Amareen, Mohamad Mostafa, Dmitry Slepichev, Hesam Rabeti, Zheng Wang, Mihir Acharya, Anthony Rizk
2024 J jnl
Open scholarship and bibliodiversity.
Inf. Serv. Use
Maureen P. Walsh, Nataliia Kaliuzhna, Nokuthula P. Mchunu, Mohamad Mostafa, Katherine Witzig, Tony Alves
2023 — conf
Are Local Features All You Need for Cross-Domain Visual Place Recognition?
CVPR Workshops
Giovanni Barbarani, Mohamad Mostafa, Hajali Bayramov, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone, Barbara Caputo
2023 J jnl
Are Local Features All You Need for Cross-Domain Visual Place Recognition?
CoRR
Giovanni Barbarani, Mohamad Mostafa, Hajali Bayramov, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone, Barbara Caputo
2021 J jnl
Unobtrusive human activity classification based on combined time-range and time-frequency domain signatures using ultrawideband radar.
IET Signal Process.
Mohamad Mostafa, Somayyeh Chamaani
2019 — conf
IoT-Based Vital Sign Monitoring Using UWB Sensor.
UNet
Mohamad Mostafa, Mohammad Saeed Dayari, Somayyeh Chamaani, Vahid Meghdadi, Oussama Habachi, Yannis Pousset
2018 J jnl
Feasibility of Cell Planning for the L-Band Digital Aeronautical Communications System Under the Constraint of Secondary Spectrum Usage.
IEEE Trans. Veh. Technol.
Mohamad Mostafa, Miguel A. Bellido-Manganell, Thomas Gräupl
2017 J jnl
Advanced Low Power High Speed Nonlinear Signal Processing: An Analog VLSI Example.
J. Signal Process. Syst.
Giuseppe Oliveri, Mohamad Mostafa, Werner G. Teich, Jürgen Lindner, Hermann Schumacher
2017 J jnl
Stability Proof of Iterative Interference Cancellation for OFDM Signals With Blanking Nonlinearity in Impulsive Noise Channels.
IEEE Signal Process. Lett.
Mohamad Mostafa
2014 — conf
Approximation of activation functions for vector equalization based on recurrent neural networks.
ISTC
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2014 — —
Equalization and decoding - a continuous-time dynamical approach.
Mohamad Mostafa
2014 J jnl
Local Stability Analysis of Discrete-Time, Continuous-State, Complex-Valued Recurrent Neural Networks With Inner State Feedback.
IEEE Trans. Neural Networks Learn. Syst.
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2013 B conf
Comparison of belief propagation and iterative threshold decoding based on dynamical systems.
ISIT
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2013 — ch.
Stability Analysis of Vector Equalization Based on Recurrent Neural Networks.
Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2012 — conf
Analysis of high order recurrent neural networks for analog decoding.
ISTC
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2012 — conf
Vector equalization based on continuous-time recurrent neural networks.
ICSPCS
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2011 — conf
Global vs. local stability of recurrent neural networks as vector equalizer.
ICSPCS
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner
2010 — conf
A modified discrete recurrent neural network as vector detector.
APCCAS
Mohamad Mostafa, Werner G. Teich, Jürgen Lindner