Zahir Hussain

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Adjunct Professor

Edith Cowan University

Australia

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About

Dr. Zahir Hussain is an Adjunct Professor at Edith Cowan University in Australia. His research interests encompass genetic algorithms, deep learning applications, and advanced signal processing techniques. Recent publications include studies on optimizing computer networks, frequency estimation under noise conditions, and improving performance in digital feedback systems using deep learning and other innovative methodologies.

Recent Grants

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(Efficient signal processing using short word-length techniques)

Open Date: 2005-01-01

Close Date: 2007-12-31

Articles (8)

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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Zahir Hussain

Research Interests

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About

Recent Grants

Articles (8)

Oriented Crossover in Genetic Algorithms for Computer Networks Optimization

Instantaneous Frequency Estimation of FM Signals under Gaussian and Symmetric α-Stable Noise: Deep Learning versus Time–Frequency Analysis

Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder

Short Word-Length Entering Compressive Sensing Domain: Improved Energy Efficiency in Wireless Sensor Networks

Frequency Estimation from Compressed Measurements of a Sinusoid in Moving-Average Colored Noise

Deep Learning Control for Digital Feedback Systems: Improved Performance with Robustness against Parameter Change

Deep Learning versus Spectral Techniques for Frequency Estimation of Single Tones: Reduced Complexity for Software-Defined Radio and IoT Sensor Communications

Hybrid Mamdani Fuzzy Rules and Convolutional Neural Networks for Analysis and Identification of Animal Images

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