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Improved tree routing protocol in zigbee networks
Published 2010“…The objective of this thesis was to develop the TR protocol for ZigBee network and is called Improved Tree Routing (ImpTR) protocol which is computationally simple in finding the shortest path to transmit data packets to the sink node, and does not need any addition in hardware. …”
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Gps solution for active queue management using android platform
Published 2021“…Since queueing in different locations is considered as a optimisation problem, several algorithms are reviewed to tackle the problem, such as brute force method, nearest neighbour algorithm, and branch and bound algorithm. …”
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Waste management using machine learning and deep learning algorithms
Published 2020“…Waste management is one of the essential issues that the world is currently facing, and it does not matter if the country is developed or underdeveloped. …”
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Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…Hence, a differential search algorithm (DSA) is employed to search for the optimal values of trees and leaves in the RFR algorithm. …”
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Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
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WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS
Published 2008“…The algorithm allows truncation of intermediate coefficient through DWT. …”
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Final Year Project -
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Classification of water quality using artificial neural network
Published 2020“…Hence, the water quality index (WQI) developed by Department of Environment (DOE) Malaysia has been used to classify water quality in Malaysia for the past few decades. …”
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…In addition, this research does not require any pre-stored database to train the algorithm. …”
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
Published 2019“…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate
Published 2025“…Machine Learning (ML) and Artificial Intelligence (AI) are closely intertwined and represent the latest cutting-edge technologies that facilitate the development of intelligent prototypes. Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that use previous databases and analysis for result predictions. …”
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Analyzing UiTMCTKKT vehicle utilization and travel pattern using predictive analytics
Published 2025“…The Experiment 1 focused on classifying vehicle types based on utilization and Experiment 2 involved predicting no of trips per day using classifiers such as Random Forest, Decision Tree, and Support Vector Machine (SVM). Data from 2023 to 2024 was cleaned and analyzed, and visualizations were developed through an interactive dashboard using Power BI. …”
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Student Project -
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Modeling purchase intention towards edible bird's nest products among Malaysians
Published 2018“…The three popular classification algorithms from predictive models which are decision tree, logistic regression, and artificial neural network will be used to analyze the dataset and determined the best model building. …”
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An Accurate and Efficient Shooting-and-bouncing-polygon Ray Tracer For Radio Propagation Modelling
Published 2019“…Traversal of the CCP graph is also simpler than the binary tree. To improve CCP usability, we have developed and implemented a tool to automatically construct the CCP graph from a given set of 3D walls. …”
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Final Year Project / Dissertation / Thesis -
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Improved robust estimator and clustering procedures for multivariate outliers detection
Published 2023“…Firstly, an improved robust estimator based on the equality of covariance matrices that is less sensitive to the presence of outliers is proposed and named as Test on Covariance (TOC). TOC is developed by modified Concentration-Step (C-Step) in the Fast Minimum Covariance Determinant (FMCD) algorithm. …”
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