Search Results - (( developing function learning algorithm ) OR ( based application stemming algorithm ))
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…TF-IDF Algorithm technique is performed to develop system by calculating the most relevant pages in the textbook based on keyword that entered by user’s query. …”
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Thesis -
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Computational analysis of biological data: Where are we?
Published 2024“…Computer modeling allows such electrical stimulations using statistics, bioinformatics and advanced machine-learning algorithms. The current book chapter discusses the advantages of computational modeling in studying biomedical research. …”
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Book Chapter -
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Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…The methodology involves the design of a distributed system architecture for scalability and efficient task distribution. Machine Learning-based Named Entity Recognition (NER) is employed to identify and extract specific entities, while contextual analysis algorithms determine message relevance for summarization. …”
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Final Year Project / Dissertation / Thesis -
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Enhancement of stemming process for malay illicit web content
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Stemming Algorithm in Searching Malay Text
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Stemming and lemmatization: A comparison of retrieval performances
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Conference or Workshop Item -
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Pashto language stemming algorithm
Published 2015“…Therefore, the objective of the current thesis is to develop a rule-based stemming algorithm for the Pashto language. …”
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Enhancement of rules-application-order (RAO) stemming algorithm based on the first character of Malay word / Edatul Muliana Ghazalli
Published 2005“…The resuhs of experiment B, which is enhance project is better than experiment A, which is Rules-Application-Order (RAO) by Fatimah (1995) because that algorithm has successfully stemmed all word begin with alphabet "A" until "Z" that extracted fi-om Quran documents.…”
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Component-based stemming engine for malay text / Juhari ljam
Published 2003“…These projects are studied and a new algorithm is being proposed to improve the performance of the stemming process. …”
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A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy
Published 2023Conference Paper -
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Searching Malay text using stemming algorithm
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr...
Published 2024“…In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”
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Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim
Published 2002“…This project incorporates the Rules Application Order (RAO) stemming algorithm with thesaurus approach by Rapizal. …”
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Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…Many variants have been developed to cope with this problem and improve algorithm performance. …”
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Particle swarm optimization for neural network learning enhancement
Published 2006“…Two programs have been developed; Particle Swarm Optimization Feedforward Neural Network (PSONN) and Genetic Algorithm Backpropagation Neural Network (GANN). …”
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Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
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