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Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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2
Stock price monitoring system
Published 2024“…This stock price monitoring system is developed to help users keep track of stock price movements and predict the closing price, so that the users can reap benefits from it and make profits. …”
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Final Year Project / Dissertation / Thesis -
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Predictive modeling of condominium prices using a Particle Swarm Optimization-Random Forest approach / Che Wan Sufia Che Wan Samsudin
Published 2025“…In general, the condominium price prediction model developed using the Particle Swarm Optimization-Random Forest approach has high value for all real estate sector stakeholders, such as legal professionals, investors, and real estate developers, as it provides accurate price forecasts and practical insights.…”
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Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…This algorithms were selected based on previous literature review in price prediction. …”
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5
Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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6
Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…The research will provide an appropriate model in predicting the price of a green building which is beneficial to the government agencies and industry practices…”
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Conference or Workshop Item -
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Automated update of crowdsourced data in participatory sensing: An application for crowdsourced price information
Published 2023“…The objective is to ensure that up-to-date and correct crowdsourced data are stored in the database at any point in time so that the information available is updated and accurate; hence, it is reliable. The algorithm was evaluated using a prototype development of a local price-watch information application, CrowdGrocr, in which the algorithm was embedded. …”
Article -
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Utility-based non-cooperative power control game in wireless environment / Yousef Ali Mohammed Al-Gumaei
Published 2017“…It is shown that game theory tools are appropriate and efficient to develop scalable, balanced and energy-efficient, distributed power control schemes to be practically used in battery-based devices in wireless networks. …”
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9
Alternative method for economic dispatch utilizing grey wolf optimizer
Published 2015“…Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. …”
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10
Predicting real estate prices with AI: a comparative study of machine learning models
Published 2025“…The Random Forest model was the best-performing predictor, with the lowest error values and highest R2 score compared to other tested algorithms. This research offers practical insights into key price-influencing features and highlights the efficacy of machine learning for robust and interpretable house price prediction in the Malaysian real estate market.…”
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Multi-Objective Optimization of Solar Powered Irrigation System by Using Genetic Algorithm
Published 2015“…However, this complex system needs to be optimized by using suitable metaheuristic technique in order to make the design to be economically and practically efficient. Thus, Genetic Algorithm is applied to solve multiple objective solar-irrigation system optimization. …”
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Final Year Project -
13
A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…We focus our study on a recently developed method known as discrete filled function method. …”
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Monograph -
14
Mobile Travel Guide For Tourism
Published 2007“…Methodology that is practically adequate to be implemented in this system is Phased Development-based methodology. …”
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Final Year Project -
15
Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…Observers are computational algorithms designed to estimate unmeasured state variables due to the lack of appropriate estimating devices or to replace the high-priced sensors in a plant. …”
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16
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Review and classification of recent observers applied in chemical process systems
Published 2015“…Observers are computational algorithms designed to estimate unmeasured state variables due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant. …”
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Implications of the Middle East Emerging Markets on International Portfolio Diversification
Published 2010“…In the stage four, analyses are done by including developed markets represented by the USA, the UK and Japan. …”
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19
Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain
Published 2017“…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
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