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Classification System for Heart Disease Using Bayesian Classifier by Magendram, Anusha

“…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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Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…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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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…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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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…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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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…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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Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…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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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

“…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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An application of Malay short-form word conversion using levenshtein distance by Rohana, Ismail, Azilawati, Azizan, NurAine, Saidin

“…The formal rules from Dewan Bahasa & Pustaka (DBP) are used as the primary reference for generating the short form word identification algorithm. While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. …”
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A multi-filter feature selection in detecting distributed denial-of-service attack by Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin

“…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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An application of Malay short-form word conversion using Levenshtein distance / Azilawati Azizan, NurAine Saidin, Nurkhairizan Khairudin & Rohana Ismail by Azilawati Azizan, Azilawati Azizan, NurAine Saidin, NurAine Saidin, Nurkhairizan Khairudin, Nurkhairizan Khairudin, Rohana Ismail, Rohana Ismail

“…The formal rules from Dewan Bahasa & Pustaka (DBP) are used as the primary reference for generating the short form word identification algorithm. While for the conversion algorithm, Levenshtein Distance (LD) is used to measure the similarity. …”
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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities by Hooshyar D., Ahmad R.B., Raj R.G., Nizam M.H.N.M., Yousefi M., Horng S.-J., Rugelj J.

“…The results also show that an automatic text-to-flowchart conversion approach applied in FMAS successfully motivated nearly all participants in problem solving activities. …”

Direct Tuning Phase-Shift Angle In Dab Dc-Dc Converter Using Moth Flame Optimization (Mfo) Algorithm by Lo, Norman Kun King

“…Besides, the non-isolated bidirectional power flow has restrictions in high voltage conversion gain, safety and power quality. Therefore, a 100 kW isolated bidirectional Dual Active Bridge (DAB) DC-DC converter with single phase shift (SPS) modulation have been developed using MATLAB/Simulink software. …”
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Catalytic conversion of methane and carbon dioxide in conventional fixed bed and dielectric barrier discharge plasma reactors by Istadi, Istadi

“…The purpose of this study is to develop a new catalytic process for CH4 and CO2 utilization to produce C2 hydrocarbons and/or synthesis gas at high conversion and selectivity. …”
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VOICE MODIFICATION USING DIGITAL TECHNOLOGY by Nik Mohd Naaim, Nik Najiha Wahida

“…The project's major activities are to develop programs using MATLAB, that enable speech signal recording, analysis, synthesis, modification, and conversion. …”
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Active load and loss allocation in transmission line via improved cuckoo search optimization technique / Nur Atiqah Abdul Rahman by Abdul Rahman, Nur Atiqah

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Medical sign language translator in healthcare facility using yolo version 7 algorithm / Nurin Qistina Zaini by Zaini, Nurin Qistina

“…For the recognized sign language gesture, the algorithm creates a bounding box with a label. The hand signs are then translated into words, allowing medical staff to clearly understand the conversation. …”
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High performance enzyme-catalyzed synthesis and characterization of a nonionic surfactant by Adnani, Atena, Chaibakhsh, Naz, Ahangar, Hossein Abbastabar, Basri, Mahiran, Raja Abdul Rahman, Raja Noor Zaliha, Salleh, Abu Bakar

“…Both developed models have shown good quality predictions in terms of the conversion of xylitol caprate with a high R2 (>0.9) and a low mean square error (MSE). …”
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Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

“…In this study, Artificial Immune System (AIS) technique named Clonal Selection Algorithm (CSA) is introduced in the development of a prediction model to forecast the performance of the SSTP. …”
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Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

“…Both models suggested good quality predictions for all independent variables (reaction time, temperature, amount of enzyme, substrate molar ratio, amount of molecular sieve and amount of solvent) in terms of the percentage conversion of xylitol esters. A high coefficient of determination (R2) (>0.9) and a low mean squared error (MSE) for training and testing data implied the good generalization of the developed models for predicting the reaction conversion. …”
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