Search Results - (( using action method algorithm ) OR ( data optimization method algorithm ))
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A new ant based rule extraction algorithm for web classification
Published 2011“…Methods to reduce the number of attributes and discretization are two important data pre-processing steps before the data can be used for classification activity. …”
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Monograph -
2
Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
Published 2010“…GA have been successfully applied to solve many optimization problems. This research proposes a method that may help users to determine the membership function of FLC using the technique of GA optimization for the fastest processing in solving the problems. …”
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Thesis -
3
Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…Ant colony optimization has been inspired by the action of the actual ant colony and is used to solve discrete optimization issues. …”
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Student Project -
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Prediction analysis of COVID-19 in Selangor by using Backpropagation Algorithm with Conjugate Gradient Method
Published 2024“…COVID-19 is transmitted to humans through contact, coughing, sneezing, or close contact. As a result, using previous COVID-19 data in Selangor, an artificial neural network (ANN) is used as an effective future prediction method. …”
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Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method
Published 2024“…COVID-19 is transmitted to humans through contact, coughing, sneezing, or close contact. As a result, using previous COVID-19 data in Selangor, an artificial neural network (ANN) is used as an effective future prediction method. …”
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6
A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…Compared to the Ant Colony Optimization-Genetic Algorithm (ACO-GA) and Ant Colony Optimization- Hierarchical Clustering Mechanism (ACOHCM), the ACO algorithm shows superior power savings and efficiency. …”
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7
A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…A thematic analysis of 40 peer-reviewed articles was conducted using ATLAS.ti, revealing three dominant research themes: intelligent algorithms, building performance simulation techniques, and adaptive design for climate change. …”
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Study on tourism development using CRITIC method for tourist satisfaction
Published 2025“…This paper presents a novel approach for evaluating tourist satisfaction and developing optimized strategies by integrating the CRITIC method, deep learning with Multilayer Perceptron (MLP), and Genetic Algorithms (GA). …”
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9
Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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Monograph -
10
Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm
Published 2025“…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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Article -
11
HELM based Reinforcement Learning for Goal Localization
Published 2016“…In this paper, reinforcement learning method was utilized to find optimal series of actions to localize the goal region. …”
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Proceeding Paper -
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Hierarchical extreme learning machine based reinforcement learning for goal localization
Published 2017“…In this paper, reinforcement learning (RL) method was utilized to find optimal series of actions to localize the goal region. …”
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Proceeding Paper -
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A Data Mining Approach to Enhancing Birth and Death Registration Processes
Published 2025“…The optimal number of clusters of clusters for birth and death data is determined as three using elbow and silhouette validation methods. …”
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Thesis -
16
Exploring clusters of rare events using unsupervised random forests
Published 2022“…Given highly imbalanced data, most learning algorithms face the challenge of accurately predicting rare events, while such cases are the ones that carry importance and useful knowledge. …”
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Conference or Workshop Item -
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A hybrid simple exponential smoothing-barnacles mating optimization approach for parameter estimation: Enhancing COVID-19 forecasting in Malaysia
Published 2025“…Therefore, this study aims to propose a new hybrid model, the Single Exponential Smoothing (SES)-Barnacles Mating Optimization (BMO) algorithm, to estimate the optimal smoothing parameter alpha and initial value that can improve the percentage of forecast accuracy. …”
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Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
Published 2016“…The results of this work showed that the method for the calculations of the series impedance (series resistance and inductance) per unit of length is acceptable according to IEEE standard data. …”
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Thesis -
19
Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties
Published 2020“…The optimization algorithm was employed in order to determine the optimal set-point trajectory for closed-loop control. …”
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20
Identifying clusters structure of rare events using random forest clustering
Published 2021“…Given highly imbalanced data, most learning algorithms faced the challenge to accurately predict rare events, while such cases were the ones that carry importance and useful knowledge. …”
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Proceedings
