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Comparison of UAV flying height parameter for crack detection applications / Wan Nurdayini Batrisyia Wan Ghazali
Published 2024“…Looking at the current scenario of development and the age of the structures in urban areas, there is a high significance of efficient and accurate building inspection methods. …”
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Comparative Analysis Using Bayesian Approach To Neural Network Of Translational Initiation Sites In Alternative Polymorphic Contex
Published 2012“…Widely accepted as an important signal for gene discovery,translation initiation sites (TIS) in weak context has been the main focus in this paper.Many TIS prediction programs have been developed for optimal context,but they fail to successfully predict the start codon if the contexts conditions are in weak positions. …”
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Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm
Published 2024“…Secondly, this work designs optimization measures from inertia weight and learning factor to build an improved particle swarm optimization algorithm (IPSO). …”
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Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu...
Published 2015“…Scenario building is a support tool used in the decision making process for the environments of the possible future. …”
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Thesis -
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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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Developing computational thinking competencies through constructivist argumentation learning: a problem-solving perspective
Published 2022“…To nurture higher order thinking skills and to engage effective problem-solvers, our framework incorporates four Computational Thinking-Argumentation design principles to support instructional innovation in the teaching and learning of science at the secondary school level, viz. 1) developing problem-solving competencies and building capability in solving uncertainties throughout scientific inquiry; 2) developing creative thinking and cooperativity through negotiation and evaluation; 3) developing algorithmic thinking in talking and writing; 4) developing critical thinking in the processes of abstraction and generalization.…”
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Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm
Published 2023“…Consequently, NoC traf‚c data is gathered. Secondly, building upon the work of previous researchers, who have suggested the development of hybrid models to improve accuracy, this research introduces a novel methodology incorporating an ANN optimized using the GCAOA-ANN to predict the routing algorithm employed by the NoC-based MPSoC. …”
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A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia
Published 2025“…Employing a mixed-methods design, the study first identifies 28 critical success factors through empirical investigation, highlighting elements such as evaluation progress, realistic scheduling, human resource competency, project planning, and risk management. Building on these findings, a predictive framework is constructed by integrating machine learning algorithms with advanced optimization and data handling strategies. …”
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Word problems as a vehicle for teaching computational thinking
Published 2023“…In order to solve problems and offer solutions that can be applied in a variety of contexts, computational thinking”i.e., algorithmically, with or without the use of computers”is crucial in computing and information science. …”
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Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman
Published 2024“…The current study contributes to the literature by highlighting decision tree and rule-based classification models as very useful in the Malaysian e-commerce context. These developed predictive models can serve as building blocks where businesses might know more about consumer behavior, personalize marketing, and reach operationally efficient levels. …”
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A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection
Published 2019“…Various concepts in deep learning including traditional Artificial Neural Network (ANN) algorithm, ANN drawbacks in context of computer vision and image processing applications, and the best algorithm to overcome ANN drawbacks, CNN, have been elucidated along with the architecture. …”
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Developement of 3D virtual environment for Teratai College, UiTM Shah Alam using open source platform / Tengku Mohd Najib Tengku Ishak
Published 2006“…The employment of VRML in this context has shown its ability in helping users to meet specific requirement. …”
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Interferometric array planning using division algorithm for radio astronomy applications
Published 2017“…In the second scheme, a genetic algorithm is developed, in order to optimize a correlator array of antennas by using Genetic Algorithm (GA). …”
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Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review
Published 2023“…Therefore, this study aims to review the existing research article by providing a state-of-the-art approach for handling imbalanced classification in higher education, including the best practices of dataset characteristics, methods, and comparative analysis of the proposed algorithms, focusing on student grade prediction context problems. …”
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Sentiment analysis of customer reviews for Konda Kondi Cafe & Bistro
Published 2025“…The data was pre-processed using tokenization, stop-word removal, and stemming techniques to ensure quality inputs. Machine learning algorithms such as Support Vector Machine (SVM), Naive Bayes (NB), and Decision Tree (DT) were applied using RapidMiner to build classification models. …”
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Student Project -
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Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…The project scope is the development of a comprehensive mechanism for context handling, an inconspicuous human takeover process, and the summarization of entire conversations between customers and automated customer support before handover to human agents. …”
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Final Year Project / Dissertation / Thesis -
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Transparent insights into alzheimer’s progression: a time-aware approach with explainable
Published 2024“…This approach not only enhances transparency but also builds trust in the model’s outcomes. The ADNI dataset, comprising 2980 observations, was employed for developing a prediction model using various machine learning classifiers. …”
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