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
Faster CNN-based vehicle detection and counting strategy for fixed camera scenes
TL;DR: In this paper , an efficient real-time approach for the detection and counting of moving vehicles is presented based on YOLOv2 and feature point motion analysis, which is based on synchronous vehicle features detection and tracking to achieve accurate counting results.
Proceedings ArticleDOI
Modeling and minimization of energy consumption in wireless sensor networks
TL;DR: An energy consumption model for WSNs based on physical layer parameters is proposed by calculating the total energy that is required for successfully received one bit over Rayleigh fading channels and validated with real measurements.
Proceedings ArticleDOI
Electrocardiogram data compression algorithm based on the linear prediction of the wavelet coefficients
TL;DR: A new algorithm, based on the compression of the linearly predicted residuals of the wavelet coefficients, for electrocardiogram (EGG) compression, to reduce the bit rate while keeping the reconstructed signal distortion at a clinically acceptable level.
Journal ArticleDOI
A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks
TL;DR: A semi-automatic algorithm that facilitates the fast and efficient preparation of datasets of individual lesions and leaf image pixel maps to overcome this problem and a fully automatic algorithm for leaf disease recognition from individual lesions is proposed.
Journal ArticleDOI
Design of two-dimensional recursive digital filters with specified magnitude and group-delay characteristics using Taguchi-based Immune Algorithm
TL;DR: In this article, a modern heuristic optimisation algorithm, named Taguchi-Based Immune Algorithm (TBIA), is proposed to solve the problem of designing 2D recursive digital filters with specified magnitude and group-delay characteristics.