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Online harmonic extraction and synchronization algorithm based control for unified power quality conditioner for microgrid systems
Published 2022“…This manuscript proposes an Adaptive Linear Neural Network (ADALINE) based control for the unified power quality conditioner to protect the critical loads from voltage related power quality problems and mitigate the current related power quality problems produced by nonlinear loads. Due to parallel computing feature and simple algorithm, ADALINE is utilized widely in parameter estimation. …”
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Parallelizing web scraping to improve performance and scalability
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Final Year Project / Dissertation / Thesis -
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An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. It uses a weighted K-means clustering algorithm based on the improved FA to optimize the initial clustering centers of K-means algorithm, known as Weighted K-means clustering-Improved Firefly Algorithm (WKIFA). …”
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Thesis -
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EMG motion pattern classification through design and optimization of neural network
Published 2012“…A back-propagation neural network with Levenberg-Marquardt training algorithm has been utilized for the classification of EMG signals. …”
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Proceeding Paper -
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EMG motion pattern classification through design and optimization of Neural Network
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Working Paper -
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A new multi-frames watermarking technique for tamper detection and recovery
Published 2017“…The proposed multi-frames watermarking scheme was developed by utilizing multicores technology where medical images have been divided among cores and perform watermarking process in parallel. …”
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Thesis -
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A novel neuroscience-inspired architecture: for computer vision applications
Published 2016“…The theory behind deep learning, the human visual system was investigated and general principles of how it functions are extracted. Our finding is that there are neuroscience theories that are not utilized in deep learning. …”
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Proceeding Paper -
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Design and implementation of multimedia digital matrix system
Published 2005“…Due to the issues of signal integrity in high-speed digital design, a new adaptive channel synchronization algorithm has been developed. The algorithm, named as hybrid-reset algorithm utilizes the nature of asynchronous reset to compensate the drawback of synchronous counter for phase detection. …”
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Conference or Workshop Item -
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Constant lock circuit for DC micro-grid system
Published 2017“…Furthermore, it is deemed relevant to give priority to the renewable energy production for supplying load extracting maximum power from the REs. Moreover, it is also necessary to provide an adequate load demand regardless the power generation amount for satisfying an easy connection between two parallel sources for sharing power. …”
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11
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…The EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. …”
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Proceeding Paper -
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Suppression of total harmonic distortion using single-phase shunt active power filter with fuzzy logic controller
Published 2013“…In the simulation, synchronous reference frame was used to extract the harmonic reference current produced by the non-linear loads. …”
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Thesis -
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WiFi-based human activity recognition through wall using deep learning
Published 2023“…An RPi 4 B is attached to an ALFA AWUS 1900 adapter utilizing Nexmon firmware monitors and extracts CSI data with flexible C-based firmware for Broadcom/ Cypress WiFi chips. …”
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