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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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2
A development of self-tuning quantitative feedback theory
Published 2012“…This paper presents a development of self-tuning Quantitative Feedback Theory (QFT) for a non linear system. …”
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Machine learning: tasks, modern day applications and challenges
Published 2019“…Over the last decade, we are able to develop algorithms which can produce better accuracies so better decision making can be achieved. …”
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Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…In previous work, an Adaptive Linear Neuron (ADALINE) based extraction algorithm has been developed to generate reference currents. …”
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5
A development of self-tuning quantitative feedback theory
Published 2012“…This paper presents a development of self-tuning Quantitative Feedback Theory (QFT) for a non linear system. …”
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Proceeding Paper -
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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…With this project creates a mobile app that analyse the mood pattern which also correspond with menstrual cycle to be able to predict mood. The development model used for this project is Agile model development cycle. …”
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7
Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…To achieve this objective, an iterative approach based on swarm intelligence is used to find the optimal CQI threshold at which the competing criteria are optimized. Since the developed downlink scheduler and the partial feedback scheme affect the QoS, self-configured versions of both algorithms are developed to provide QoS provisioning. …”
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8
Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…Two machine learning model is chosen to build the classification models which are Random Forest (RF) algorithm and Multinomial Naïve Bayes (MNB) algorithm. …”
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Performance comparision of self-tuning PID controller for controlling the speed of a DC motor
Published 2018“…The controller gains are obtained based on conventional PID, self-tuning fuzzy logic and self-tuning genetic algorithm (GA) controller. …”
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent
Published 2009“…This research developed an improved technique for object recognition and space occupancies determination which not affected by the orientation of the subject. …”
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Performance Analysis of Duty-Cycle Division Multiplexing for Optical Fiber Communication Systems
Published 2009“…In this study, the design of DCDM multiplexer and demultiplexer is improved. A new set of algorithm are developed for data recovery in the receiver. …”
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14
Cyber hygiene during Covid-19 to avoid cyber attacks
Published 2022“…In this study, we will further evaluate how the self-efficacy, cyber hygiene knowledge, and cyber hygiene awareness affect the cyber hygiene attitude and then lead to cyber hygiene behavior. …”
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Final Year Project / Dissertation / Thesis -
15
An Investigation of Classical Model Predictive Controller Path Tracking Performance of a Two-Wheel and Four-Wheel Steering Vehicle
Published 2024“…Studies on self-driving vehicles have become a trend in recent years, and many systems have been developed to enable autonomous manoeuvre. …”
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A benchtop induction-based AC magnetometer for a fast characterization of magnetic nanoparticles
Published 2022“…We find that the usable frequency range is greatly affected by the pickup coil's inductance due to the self-resonance phenomena compared to their parasitic capacitance. …”
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A benchtop induction-based AC magnetometer for a fast characterization of magnetic nanoparticles
Published 2022“…We find that the usable frequency range is greatly affected by the pickup coil's inductance due to the self-resonance phenomena compared to their parasitic capacitance. …”
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18
SNR-Based OLSR Routing Protocol for Wireless Mesh Networks
Published 2009“…The major advantages of WMNs over the other wireless networks are the low-cost, self organization, self configuration, last mile internet solution, scalability, and reliability. …”
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19
Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area
Published 2005“…For plant growth and development study, yield is the most critical parameter. …”
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