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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
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Framework development in extracting rules from trained neural network / Shuzlina Abdul Rahman, Azlinah Hj Mohamed and Marina Yusoff
Published 2006“…In addressing this framework, the criteria of each approaches has been explored and analyzed from eight factors: process extraction, merit, demerit, rule type, type of data, rule quality, processing complexity, and the description of each RE technique. …”
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Research Reports -
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Development of algorithm to characterize flavonoids classes
Published 2017“…Development of algorithm based on PCA for the analysis and identification of flavonoids classes based on FTIR spectrum is introduced. …”
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Proceeding Paper -
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…In addition, this thesis tackles the feature selection problem by designing a novel wrapper feature selection method based on the Hybrid Flower Pollination Algorithm (HFPA). In particular, this study hybridized the Particle Swarm Optimization algorithm (PSO) with FPA to overcome the limitation of the exploration problem of FPA. …”
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Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…In the first phase, individual biometrics recognition algorithms were developed for each biometrics feature. …”
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Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphso...
Published 2022“…Then, utilizing actual measured laboratory data collected under a variety of environmental circumstances, a hybrid approach for efficiently determining unknown the parameters of the single, double, and three diodes PV model has been developed. The proposed guaranteed convergence arithmetic optimization algorithm based on efficient modified third order Newton Raphson (GCAOAEmNR) method highlights important contributions to the literature in terms of methodology (explorer-exploiter phases) and objective function design. …”
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Automatic Road Network Recognition and Extraction for Urban Planning
Published 2009“…A Hybrid Simple Colour Space Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm was developed to extract roads automatically from satellite-taken images. …”
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Content words extraction using Malay text document / Nurfarahidayu Samshudin
Published 2011“…Content words extraction techniques is explored and used as possible content and value for the text document. …”
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System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
Published 2010“…This project explores the application of system identification using Non-Linear Autoregressive Model with Exogeneous Inputs (NARX) of an essential oil extraction system. …”
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Extracting Tweets Using R in The Context of Ethical Issues
Published 2021“…The simple algorithm is capable to facilitating the process of extracting data from Twitter, such that it easily known to the public tweets that exist in a given time period and this can be used as reference material for further development process. …”
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Proceeding Paper -
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Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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A review on classifying and prioritizing user review-based software requirements
Published 2024“…Additionally, further research should explore automated classification to enhance efficiency.…”
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Rule-based filtering algorithm for textual document
Published 2017“…Improper filtration might cause terms that have similar meaning to be removed.Thus, to reduce the high-dimensionality of text, this study proposed a filtering algorithm that is able to filter the important terms from the pre-processed text and applied term weighting scheme to solve synonym problem which will help the selection of relevant term.The proposed filtering algorithm utilizes a keyword library that contained special terms which is developed to ensure that important terms are not eliminated during filtration process.The performance of the proposed filtering algorithm is compared with rough set attribute reduction (RSAR) and information retrieval (IR) approaches.From the experiment, the proposed filtering algorithm has outperformed both RSAR and IR in terms of extracted relevant terms.…”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…An intelligence strategy called quasi-oppositional based learning is incorporated into the proposed algorithm to enhance its convergence property, exploration capability, and solution optimality. …”
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MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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Research Report -
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Sentiment analysis regarding childcare issues using Naive Bayes Algorithm / Alis Farhana Zulkipeli
Published 2025“…With the growing volume of childcare-related discussions on social media, efficient sentiment analysis tools are essential for extracting insights. However, the lack of comprehensive methodologies poses challenges for policymakers, childcare providers, and researchers in understanding public concerns and developing effective interventions. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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An efficient AdaBoost algorithm for enhancing skin cancer detection and classification
Published 2024“…These tools employ computer algorithms and deep neural networks to identify and categorize skin cancer. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…This study performs a comprehensive bibliometric analysis of hybrid metaheuristics-based approaches aimed at exploring the landscape in scientific literature. Employing an analysis of publications, this study maps the historical development, key terms and the most dominant works in this field. …”
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