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Mohammed Zaki Ahmed

Researcher at University of Plymouth

Publications -  122
Citations -  1499

Mohammed Zaki Ahmed is an academic researcher from University of Plymouth. The author has contributed to research in topics: Linear code & Block code. The author has an hindex of 11, co-authored 122 publications receiving 1347 citations. Previous affiliations of Mohammed Zaki Ahmed include Minia University & University of Huddersfield.

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Journal ArticleDOI

Diel and tidal rhythms in diving behaviour of pelagic sharks identified by signal processing of archival tagging data

TL;DR: The utility of signal processing techniques is demonstrated in objectively identifying both expected and unexpected periodicity in these continuous, high-resolution tracks of basking sharks.
Proceedings ArticleDOI

Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor

TL;DR: In this paper, the use of time domain vibration features for detection and diagnosis of different faults from a multi-stage reciprocating compressor was investigated, where the effective diagnostic features were selected from PCA of 14 potential features and a PCA model based detection method using Hotelling's T2 and Q statistics was subsequently developed to detect various faults including suction valve leakage, inter-cooler leakage, loose drive belt, and combinations of discharge valve leakage with suction-valve leakage.
Journal ArticleDOI

Scaling laws of ambush predator ‘waiting’ behaviour are tuned to a common ecology

TL;DR: Results indicate temporal power-law scaling is a behavioural ‘rule of thumb’ that is tuned to species’ ecological traits, implying a common pattern may have naturally evolved that optimizes move–wait decisions in less predictable natural environments.
Posted Content

Improved Iterative Decoding for Perpendicular Magnetic Recording

TL;DR: An algorithm of improving the performance of iterative decoding on perpendicular magnetic recording with signal-to-noise ratio mismatch technique and it is shown that an improvement of within one order of magnitude can be achieved.