M
Mohammed Abo-Zahhad
Researcher at Egypt-Japan University of Science and Technology
Publications - 146
Citations - 2611
Mohammed Abo-Zahhad is an academic researcher from Egypt-Japan University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Wavelet. The author has an hindex of 24, co-authored 125 publications receiving 1917 citations. Previous affiliations of Mohammed Abo-Zahhad include Assiut University & Jordan University of Science and Technology.
Papers
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Journal ArticleDOI
An Immune-Based Energy-Efficient Hierarchical Routing Protocol for Wireless Sensor Networks
TL;DR: Simulation results cleared that the IEERP is more reliable protocol because it improvers the stability period and the lifetime of the homogeneous and the heterogeneous WSNs as compared to the other protocols.
Journal ArticleDOI
Overhead transmission lines dynamic rating estimation for renewable energy integration using machine learning
TL;DR: In this paper, a machine learning model was trained using Random Forest (RF) regressor to estimate the rating of a transmission line based on various meteorological factors (wind speed, wind direction, ambient temperature, and solar radiation).
Ku-Band Low Phase Noise VCO Using High-Quality Factor Transformer in 0.18-μm CMOS Technology
Islam Mansour,Marwa Mansour,Mohamed Aboualalaa,Ahmed Allam,Adel B. Abdel-Rahman,Ramesh K. Pokharel,Mohammed Abo-Zahhad +6 more
TL;DR: In this article , a low phase-noise (PN) wideband voltage-controlled-oscillator (VCO) was proposed using five ports transformer in 0.18-GHz CMOS technology.
Journal ArticleDOI
Interference-aware modeling and analysis for the secrecy performance of cooperative vehicular relaying networks over mixed Nakagami-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e2252" altimg="si9.svg"><mml:mi>m</mml:mi></mml:math> and double Nakagami-<mml:math xmln
TL;DR: In this paper , the secrecy performance of cooperative vehicular relaying networks (CVRNs) over mixed Nakagami-m and double NN fading channels in the presence of a single eavesdropper and co-channel interference was investigated.
Proceedings ArticleDOI
Primary User Detection in Cognitive Radio Networks Over Fading Channel Using Compressed Sensing
TL;DR: In comparison with the traditional compressed energy detection over the Rayleigh fading channel, the results show that the proposed technique is better in detection performance.