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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The second agent is a reliability evaluation agent that uses a recursive algorithm to predict the suitability generator based on the frequency and duration reliability indices in each state while the third agent is the storage and transfer of data between the other two agents. …”
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Thesis -
3
Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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Article -
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Prediction of Total Suspended Sediments in Penang Waters Using Remote Sensing
Published 2004“…Only the best-fit algorithm developed in this study was selected to predict the TSS concentrations from satellite imagery. …”
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Thesis -
5
Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii
Published 2012“…This project focuses on three main objectives to investigate the UPSR Examination of data for prediction result, to study the Clonal Selection algorithm of the term and to develop the Prediction of UPSR Result System using Clonal Selection Algorithm. …”
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6
Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
Published 2024“…Three different scenarios are examined, such as scenario1 (SC1): used to predict daily power generation, scenario 2 (SC2): used to predict power generation for monthly prediction and scenario 3 (SC3): used to predict hydropower generation (HPG) seasonally. …”
Article -
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Recognition software achieved 87.14%, EPD algorithm achieved 73.57% and HMT algorithm achieved 74.30%) prediction accuracy with OTs. …”
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Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia
Published 2025“…It is crucial for developing countries such as Malaysia to be able to accurately predict future municipal solid waste generations in order to achieve high-quality waste management. …”
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Predictive models for hotspots occurrence using decision tree algorithms and logistic regression.
Published 2013“…The results show that the C4.5 algorithm has better performance than the ID3 algorithm in terms of accuracy and the number of generated rules. …”
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Article -
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Predictive Analytics in Genetic Engineering as an Optimization Problem
Published 2024“…For the three computational experiments, the stochastic optimizer (genetic algorithm) converged at the 9412th, 9717th, and 14338th generations respectively. …”
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Article -
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Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…An effective value is generated by using an appropriate approach in price prediction. …”
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Thesis -
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A Fusion-Based Framework For Explainable Suicide Attempt Prediction
Published 2024“…An information fusion-based explanation generation method is proposed by integrating predictions to generate a prediction description to support decision-making. …”
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Thesis -
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Daily rainfall prediction using clonal selection algorithm
Published 2012“…The common use of Clonal Selection Algorithm is to randomly generate the antibodies in the population. …”
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Proceeding Paper -
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Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…There are several data mining tasks such as classification, clustering, prediction, summarization and others. Among them, a prediction task is widely applied in many real applications such as in manufacturing, medical, business and mainly for developing prediction model. …”
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Thesis -
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Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok
Published 2019“…The predictive model includes 16 prediction processes with 20 back-propagation algorithms whereby radar imageries and meteorological station data were used as a raw data input. …”
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17
An initial state of design and development of intelligent knowledge discovery system for stock exchange database
Published 2004“…We divide our problem in two modules.In first module we define Fuzzy Rule Base System to determined vague information in stock exchange databases.After normalizing massive amount of data we will apply our proposed approach, Mining Frequent Patterns with Neural Networks.Future prediction (e.g., political condition, corporation factors, macro economy factors, and psychological factors of investors) perform an important rule in Stock Exchange, so in our prediction model we will be able to predict results more precisely.In second module we will generate clustering algorithm. …”
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Conference or Workshop Item -
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Analysing the performance of classification algorithms on diseases datasets
Published 2023“…The proposed classification algorithms measure the diseases using the disease datasets which estimates the accurate prediction. …”
Article -
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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Intelligent sizing and output prediction techniques for grid-connected photovoltaic system / Shahril Irwan Sulaiman
Published 2012“…Initially, two intuitive-based sizing algorithms for GCPV system design, termed as Conventional Sizing Algorithm (CSA), were developed based on two design goals. …”
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