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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Thesis -
2
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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3
Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin
Published 2012“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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4
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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5
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
6
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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7
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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8
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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9
The Development And Evaluation Of Personalized Learning Material Based On A Profiling Algorithm For Polytechnic Students In Learning Algebra
Published 2016“…Matematik adalah asas untuk pengajian kejuruteraan, terutamanya bagi pelajar kejuruteraan di politeknik Malaysia. Topik algebra pula adalah topik penting dalam matematik terutama bagi program kejuruteraan. …”
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10
Pengurusan rantaian bekalan menggunakan MRP dan DRP di FAMA
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11
Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…The accuracy of the parallel block and 1-point methods is comparable particularly when finer step sizes are used. A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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12
Development of MATLAB® GUI for infant cry signal analysis using FFT / Suzilawati Muhamud @ Kayat
Published 2008“…The development; of GUI requires a good understanding and skills in programming the M-File code and it was the most challenging part for this study.…”
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13
Pembangunan model pengoptimman pengeluaran minyak sawit dan isirong sawit menggunakan pendekatan genetik kabur
Published 2008“…The developed model is an integration between fuzzy expert system models and multi objective programming model. …”
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Article -
14
Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…Tuning and adaptation of the control algorithm had been demonstrated so developers can make use of them for their applications. …”
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15
Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education
Published 2025journal-article
