Search Results - (( developing adoption factor algorithm ) OR ( java implementation learning algorithm ))
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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2
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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5
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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6
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Evaluating critical success factors in AI-driven drug discovery using AHP: a strategic framework for optimization
Published 2025“…This research contributes to strategic AI adoption by addressing data inconsistencies, algorithmic bias, and scalability limitations. …”
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Design and analysis of management platform based on financial big data
Published 2023“…Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Algorithm analyzer to check the efficiency of codes
Published 2011“…Efficiency of codes developed is always an issue in software development. …”
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Correlation model in the adoption of E-payment services: A machine learning approach
Published 2022“…The purpose of this study was to understand the highly correlated factors that influence user intention to adopt e-payment into their daily lives. …”
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Final Year Project / Dissertation / Thesis -
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Haar cascade algorithm for microsleep detection
Published 2025“…During the development phase, the system was built in Python using OpenCV and dlib for real-time facial analysis and the Haar Cascade algorithm for efficient facial feature detection. …”
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Cancer Prediction Based On Data Mining Using Decision Tree Algorithm
Published 2022“…Different data mining method has showed up with its related algorithms were adopted by different research. Each work has some shortcomings like lack of intelligent prediction and an inefficient structure which eventually prompted me to take on this subject and develop a cancer prediction system. …”
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Undergraduates Project Papers -
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Energy is considered a prime agent in the generation of wealth and also a significant factor in economic development. There has been a strong relationship between the availability of energy to the economic activity, improvements in standards of living and the overall social well-being. …”
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Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
Published 2021“…This study aimed to determine the eco-climatic factors influencing the occurrence of waterbirds and to develop habitat suitability models for thePaya Indah (PIW) and Putrajaya wetlands (PW), Malaysia. …”
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Low Complexity Error Correction in Low Density Parity Check (LDPC) Code Decoder and Encoder for Decode and Forward Cooperative Wireless Communication
Published 2021“…The initial investigation on the existing LDPC code decoding algorithms assists to develop a low complexity LDPC code decoding algorithm. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Risk management credit scoring prediction using sentiment analysis
Published 2024“…The objective is to use the power of sentiment analysis, originate from the diverse textual sources such as social media and financial reports to increase the accuracy and flexibility of credit risk assessments. The project adopts a development-based approach with field of data science, leveraging NLP techniques and classification algorithms to seamlessly integrate sentiment-derived features with conventional credit scoring attributes. …”
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Final Year Project / Dissertation / Thesis
