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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…In order to overcome this problem, a classification model for intent recognition is developed. Dataset from Kaggle which contains English reviews from Shopee is downloaded to be used for the modelling process. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…In this paper, to provide online predicting effectively, we develop a model for online predicting through web usage mining system and propose a novel approach for classifying user navigation patterns to predict users’ future intentions. …”
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…To provide online prediction effectively, this study has developed a Web based recommendation system to Predict User Movements, named as WebPUM, for online prediction through web usage mining system and proposed a novel approach for classifying user navigation patterns to predict users‘ future intentions. …”
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Quantitative Computational Framework For Analyzing Evidence To Identify Attack Intention And Strategy In Network Forensics
Published 2013“…The proposed framework aims to use cyber crime evidence to reconstruct attack intentions and estimate similar attack strategies. The intentions are identified through a new algorithm called Attack Intention Analysis, which predicts cyber crime intentions by combining Dempster-Shafer theory and a causal network. …”
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Correlation model in the adoption of E-payment services: A machine learning approach
Published 2022“…The end goal of the project is to develop a model that identifies the important features that affect user intention to adopt e-payment.…”
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Final Year Project / Dissertation / Thesis -
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A single measurement of combined direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
Published 2016“…MIC is a promising method to keep the electrical power output from PV module at maximum capacity through maximum power point tracking (MPPT) algorithm during full-sun and mismatch module occurrence. …”
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Integrating of web 2.0 technologies for interactive courseware : data structure and algorithm as case study
Published 2013“…This project follows ADDIE model as guidelines and each phase are describe in detail in this report. The intention of the developed courseware is not to replace conventional class, but the develop courseware main objective is to assist students of FCSIT for better understanding towards Data Structure and Algorithms Course (TMC1433) through interactive delivering information.…”
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WebPUM : a web-based recommendation system to predict user future movements.
Published 2010“…To effectively provide online prediction, we have developed a recommendation system called WebPUM, an action using Web usage mining system and propose a novel approach online prediction for classifying user navigation patterns to predict users’ future intentions. …”
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The influence of Robo-advisory services on Malaysia university student’s investment intention
Published 2025“…The study adopts the Technology Acceptance Model (TAM) as the theoretical foundation, integrating elements of trust and perceived risk to examine how these factors impact adoption intentions. Data was collected through a structured questionnaire distributed to university students across Malaysia, and a total of 135 valid responses were analyzed using Jamovi statistical software version 2.6.24. …”
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Final Year Project / Dissertation / Thesis -
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Next, a signal interpretation system is designed and developed to translate the signal and send the pre-programmed commands to the robot through the operating computer. …”
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Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…In addition, the results from the three (3) algorithms that were tested showed that Random Forest outperforms other algorithms by acquiring an accuracy and classification error to predict reverse migration. …”
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A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
Published 2016“…MIC is a promising method to keep the electrical power output from PV module at maximum capacity through maximum power point tracking (MPPT) algorithm during full-sun and mismatch module occurrence. …”
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Thyroid Insight: navigating disease data through interactive visualization with prediction
Published 2025“…This paper addresses these challenges by developing an interactive dashboard with predictive capabilities. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Specifically, the objectives of this thesis are (i) to develop an image registration technique based on multigraph matching, (ii) to detect occluded objects through exploration of candidate object correspondences in longer frame sequences, and (iii) to develop a robust graph coloring algorithm for multiple moving object detection under different transformations. …”
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Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks
Published 2012“…The performance evaluation of the proposed algorithms has been done through a detailed and extensive discrete-event-simulation analysis. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”
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AI chatbot system for educational institutions
Published 2023“…This project presents the design and development of an advanced chatbot system powered by deep learning algorithms for intent classification. …”
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Final Year Project / Dissertation / Thesis -
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Application of machine learning approach on halal meat authentication principle, challenges, and prospects: a review
Published 2024“…Machine Learning (ML) is the concept of learning through the development and application of algorithms from given data and making predictions or decisions without being explicitly programmed. …”
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