Muhammad Moinuddin
King Abdulaziz University
138 Papers
373 Citations
Muhammad Moinuddin is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Computer science & Adaptive filter. The author has an hindex of 13, co-authored 115 publications. Previous affiliations of Muhammad Moinuddin include King Fahd University of Petroleum and Minerals & Iqra University.
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Papers
Contrasting Convolutional Neural Network (CNN) with Multi-Layer Perceptron (MLP) for Big Data Analysis
Abdelaziz Botalb,Muhammad Moinuddin,Ubaid M. Al-Saggaf,Syed Saad Azhar Ali +3 more
- 01 Aug 2018
TL;DR: The CNN demonstrated a good maintenance of high accuracy for image like inputs and also proved to be a better candidate for big data applications.
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The q-Least Mean Squares algorithm
TL;DR: This work shows that the q-derivative gives faster convergence for q 1 when compared to the conventional derivative, and new explicit closed-form expressions for the mean-square-error behavior for the proposed q-LMS algorithm.
68
A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks
TL;DR: The proposed FBPTT method is shown to outperform the conventional back-propagation through time algorithm on three major problems of estimation namely nonlinear system identification, pattern classification and Mackey–Glass chaotic time series prediction.
65
Convergence and tracking analysis of a variable normalised LMF (XE-NLMF) algorithm
TL;DR: A time-varying mixed-power parameter technique is introduced and an enhancement in performance is obtained through the use of this technique in two different scenarios of the least-mean-fourth algorithm.
50
Fixed-time terminal synergetic observer for synchronization of fractional-order chaotic systems
TL;DR: A new synergetic observer dedicated to the synchronization of fractional-order chaotic systems is developed and converges in a predefined fixed-time uniformly bounded with respect to initial conditions.
25