Search Results - (( develop pricing model algorithm ) OR ( java application learning algorithm ))
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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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Price prediction model of green building based on machine learning algorithms / Nur Syafiqah Jamil
Published 2021“…In addition, this research also develops price prediction model using Machine Learning Model based on green building datasets covering the District of Kuala Lumpur, Malaysia. …”
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A Mobile Application For Stock Price Prediction
Published 2021“…A mobile application for stock price prediction using time series algorithms is developed to tackle the problem mentioned. …”
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Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi
Published 2025“…Development for a customized Random Forest-based model and a library-based one is performed. …”
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Stock price monitoring system
Published 2024“…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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Final Year Project / Dissertation / Thesis -
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NEXT-HOUR ELECTRICITY PRICE FORECASTING USING LEAST SQUARES SUPPORT VECTOR MACHINE AND GENETIC ALGORITHM
Published 2023“…Thus, a hybrid model comprising least squares support vector machine (LSSVM) and genetic algorithm (GA) was developed in this work to predict electricity prices with higher accuracy. …”
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…This research is aimed to utilize the machine learning algorithm to try and predict the future price of cotton by using the historical price of cotton provided by investing.com. …”
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Final Year Project -
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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“…The development of a predictive model for condominium prices using the Particle Swarm Optimization-Random Forest approach is the key focus of this research project. …”
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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…This proves the capability of the developed hybrid algorithm in solving the formulated model.…”
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Electricity Price Prediction with Support Vector Machine and Bacterial Foraging Optimization Algorithm for Day-Ahead model
Published 2023Conference Paper -
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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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Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
Published 2019“…Through the combination of backtracking search algorithm (BSA) in learning process of ANFIS approach, a hybrid machine learning algorithm has been developed to forecast the electricity price more accurately. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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An Information Retrieval Algorithm to Extract Influential Factors
Published 2012“…This indicates that the algorithm was able to produce a good model. The extraction algorithm developed showed that influencial factors produced could be used as guideline for companies to monitor and strategize ways for business improvement.…”
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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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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…To our knowledge, there is still no implementation of machine learning models on green building valuation features for building price prediction compared to conventional building development. …”
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A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market
Published 2023“…This study aims to develop a univariate and multivariate stock market forecasting model using three deep learning algorithms and compare the performance of those models. …”
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Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei
Published 2020“…Electricity price forecasting is considered as one of prime factors for operation, planning and scheduling of price-setter market participants. …”
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