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Correlation Feature Selection Weighting Algorithms for Better Support Vector Classification: An Empirical Study
Published 2020“…Prediction and/or classification accuracies of cfsw-SVM algorithms are significantly improved.…”
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. …”
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Final Year Project -
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Support Vector Machines (SVM) in Test Extraction
Published 2006“…In this project, Support Vector Machines (SVM) is studied and experimented by the implementation ofa textual extractor. …”
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Final Year Project -
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Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…Without implementing any data reduction algorithm, the highest classification accuracy was found in SVM classifier with 79.55%. …”
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Thesis -
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Gender identification using support vector machines
Published 2023“…This thesis is introduces SVM theory application and its algorithmic implementations.…”
text::Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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SVM-based geospatial prediction of soil erosion under static and dynamic conditioning factors
Published 2018“…The study implements four kernel tricks of SVM with sequential minimal optimization algorithm as a classifier for soil erosion susceptibility modeling. …”
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Conference or Workshop Item -
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…The significance of this study lies in its potential to offer a viable solution to address the problem of children abandoned in vehicles. …”
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Student Project -
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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Thesis -
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Kernel methods and support vector machines for handwriting recognition
Published 2023“…Finding the solution hyperplane involves using quadratic programming which is computationally intensive. Algorithms for practical implementation such as sequential minimization optimization (SMO) and its improvements are discussed. …”
Conference paper -
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Journal -
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Modeling and implementation of space vector modulation for three-phase direct torque control matrix converter
Published 2013“…Widespread, systematic, and in-depth studies have been focused on the modulation algorithm and the commutation strategy of the MC, and the key technologies for its application in induction motor drive system. …”
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Thesis -
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The formulation of a transfer learning pipeline for the classification of the wafer defects
Published 2023“…Thus, this study will aim to explore 17 types of TL models, and classify the features extracted using 3 different ML algorithms, namely Support Vector Machine (SVM), k-Nearest Neighbor (kNN) and Random Forest (RF). …”
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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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Undergraduates Project Papers -
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
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Thesis -
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Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
Published 2019“…Finally, the simulation results validated the premise of the proposed hybrid method through enhanced accuracy compared to the results acquired by implementing hybrid support vector machine (SVM) and hybrid ANN optimization methods. © 2013 IEEE.…”
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