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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Four conventional classification algorithms: naïve bayes (NB), support vector machines (SVM), nearest neighbor (k-NN), and decision trees (J48) classifiers are implemented in identifying and categorizing tweet data of three political figures in Malaysia: Dato Seri Anwar, Dato Hadi Awang, and Lim Guang Eng, as either positive, negative, or neutral perceptions. …”
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Thesis -
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
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Development of sensor based transparent object handling using robot manipulator
Published 2024text::Final Year Project -
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Detection of Microcalcification Using Mammograms
Published 2004“…The mammogram is first digitized and processed by the program developed to detect the microcalcification deposited in the breast. …”
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Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan
Published 2020“…It can function to analyse data, develop algorithms even create models and applications. …”
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Development of a software for simulating active force control schemes of a two-link planar manipulator
Published 2005“…On Top Of That, The Graphical Results Can Be Observed And Analysed On-Line While The Program Is Running. …”
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Employing longest common subsequence method to retrieve translated Al-Quran documents / Muhamad Shamsudin
Published 2001“…Longest Common Subsequence algorithm (LCS) has been developed to solve string matching problems. …”
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Thesis -
10
Development of a software for simulating active force control schemes of a two–link planar manipulator
Published 2005“…On top of that, the graphical results can be observed and analysed on–line while the program is running. …”
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Simulation on Concrete Fracture on Mesoscale Structure By Using Lattice Element
Published 2009“…This objective of the project is to develop efficiently algorithm and computer code that will simulate the random arrangement of the constituent materials of concrete in a test specimen and lattice element. …”
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Final Year Project -
12
Simulation on Concrete Fracture on Mesoscale structure by using Lattice element
Published 2009“…This objective of the project is to develop efficiently algorithm and computer code that will simulate the random arrangement of the constituent materials of concrete in a test specimen and lattice element. …”
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Final Year Project -
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Simulation on Concrete Fracture on Mesoscale Structure By Using Lattice Element
Published 2009“…This objective of the project is to develop efficiently algorithm and computer code that will simulate the random arrangement of the constituent materials of concrete in a test specimen and lattice element. …”
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Final Year Project -
15
Simulation on Concrete Fracture on Mesoscale Structure By Using Lattice Element
Published 2009“…This objective of the project is to develop efficiently algorithm and computer code that will simulate the random arrangement of the constituent materials of concrete in a test specimen and lattice element. …”
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Final Year Project -
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Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin
Published 2014“…Next, a novel hybrid Artificial Neural Network - Quantum-Inspired Evolutionary Programming (QIEP-ANN) is developed for comparison. …”
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Thesis -
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Extracting Object Oriented Software Architecture from C++ Source Code
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…The second layer employed spatial data and the fuzzy Technique for Order Preference by Similarity to Ideal Solution algorithm to refine potential solar energy sites, yielding the top 100 optimal locations. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…The proposed EC methods are Genetic Algorithm (GA), Differential Evolution (DE), Evolutionary Programming (EP), and Pareto-based Differential Evolution (PDE). …”
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