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1
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…Increase of hearth problem in this world is rising each day. Classification system for heart disease is a system that able to justify whether a patient has heart problem or not. …”
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2
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 -
3
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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5
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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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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7
Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Article -
8
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…The latest effort to solve this selection problem is the development of the metrics selection model that uses genetic algorithm (GA). …”
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9
A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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Conference or Workshop Item -
10
Capacitor bank placement in radial distribution system using Firefly algorithm method
Published 2023“…In conclusion, the optimization case is found to be robust, efficient and cost saving due to usage of small size of capacitor bank.…”
text::Final Year Project -
11
Energy efficiency of the bitcoin mining hardware and related blockchain technology
Published 2018“…MATLAB is used in developing and validation the algorithm. Dataset was selected from open sources and applied in the proposed formula to evaluate and predict energy efficiency of bitcoin mining hardware. …”
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Undergraduates Project Papers -
12
Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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13
A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification
Published 2024“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
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14
Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling
Published 2017“…Interviews with treasury committees of BIMB bank and feedback from the MATLAB system were taken to validate and determine the model‟s efficiency. …”
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15
Energy cost and carbon emission minimization for hybrid grid-independent microgrid using rule-based energy management scheme
Published 2024“…The microgrid incorporate a wind turbine (WT), photovoltaic (PV) panels, battery (BT) bank and diesel generator (Dgen). The rule-based algorithms had been widely applied in electric vehicle research because they are preferable for real-time EM and are computationally efficient. …”
Conference Paper -
16
Charging and discharging control of Li-Ion battery energy management for Electric vehicle application
Published 2023“…This system has the energy storage device which can be introduced by lithium-ion (li-ion) battery banks. Lithium-ion is mostly popular because of its high capacity and efficiency. …”
Article -
17
Loss minimization in load flow simulation in power system
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Learning Object -
18
Rational drug design using genetic algorithm: case of malaria disease
Published 2012“…In the experiment, we used falcipain-2 as our target protein (2GHU.pdb) obtained from the protein data bank and docked with twenty different available anti malaria drugs in order to find the effective and efficient drugs. …”
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Article -
19
DC-based PV-powered home energy system
Published 2017“…The appliances are classified according to their compatibility with the DC environment to determine the efficient operating voltage range. The algorithm of the proposed charge controller uses that voltage to be assigned as the value of the full charge voltage for the battery bank. …”
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20
Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg
Published 2006“…Then, the metabolic pathway ontology is manipulated to predict and analyze metabolic pathways for a target organism using metabolic pathway prediction algorithm. To enhance the efficiency in predicting metabolic pathways, Problem Solving Method approach is proposed to perform the ontology inference by providing the reasoning component to solve the prediction problem of metabolic pathways. …”
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