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1
Neural Network Prediction of Suitability Course for Post PMR Students
Published 2003“…This study aims to develop a Neural Network Model for predicting suitability course for post PMR students. …”
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Thesis -
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Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
Published 2018“…Recommendation systems is developed to overcome this problem. Nowadays, freshly school leavers especially for STPM and Matriculation college students in Malaysia have trouble with selecting a suitable course of public university. …”
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Undergraduates Project Papers -
4
An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
Published 2018“…These features are extracted by tagged index values that represent the information gain out of the training course of the classifier to be used as a base for our developed IDS. …”
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An efficient IDS using hybrid Magnetic swarm optimization in WANETs
Published 2018“…These features are extracted by tagged index values that represent the information gain out of the training course of the classifier to be used as a base for our developed IDS. …”
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Developing Android Application To Guide Lean Six Sigma PDCA Project
Published 2018“…The knowledge of Lean Six Sigma can be learned through online training, university course and company training program. …”
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Monograph -
7
Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
Published 2021“…With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human problems. …”
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8
Stress mental health symptom assessment mobile application for young adults
Published 2023“…As for the panic attack prediction feature, the application will transmit user-input responses to a model previously trained using historical data. Before this stage, the KNN algorithm is employed to construct the model using Google Form response data as part of the application development process. …”
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Final Year Project / Dissertation / Thesis -
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Article -
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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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Design, development and evaluation of a game-based learning application for room housekeeping
Published 2024“…The transition of practical skills training into a digital format presents distinct challenges and opportunities within the hospitality industry. …”
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Article -
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Article -
13
DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi
Published 2025“…This could include for instance a systematic literature review on theories available to understand the current problem and its possible solution, analysis of the users need gathered from interviews, and of course the application development using Flutter within Visual Studio Code. …”
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Thesis -
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Effect of different modalities of facial images for diagnosis of ASD by deep neural network
Published 2024“…Through evaluating the efficacy of different image modalities, this investigation enriches the field's knowledge base, highlights the necessity for robust dataset development, and charts a course for future studies to advance the precision and practicality of ASD diagnosis via deep learning approaches…”
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Proceeding Paper -
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