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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…In the cycle of Industrial Revolution 4.0 (IR 4.0), many issues in the industries can be solved with implementation of artificial intelligence approaches, including machine learning models. …”
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Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks
Published 2021“…Conventionally back-propagation learning algorithm also termed as (BP-MLP) is used. …”
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4
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
5
Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023text::Thesis -
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Old Jawi manuscript: Digital recognition / Zaidi Razak
Published 2016“…The information gathered is useful for the development of a line segmentation algorithm, a new character segmentation algorithm, as well as a recognition algorithm which is based on the use of a unique code and Hamming distance calculation. …”
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7
Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms
Published 2023“…In this paper, we use an existing data set from previous research, which has 100 records of data, and manipulate the data by applying three machine learning algorithms for implementing classification and regression tasks. …”
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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
Published 2023“…Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. The machine learning algorithms that will be used and compared are Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Linear Regression (LR). …”
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Final Year Project Report / IMRAD -
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Ethical considerations for equitable outcome-based education in the Metaverse: a qualitative study
Published 2025“…Thematic analysis revealed three primary ethical concerns: digital access inequities, bias in assessment algorithms, and privacy and data governance risk. Recommendations emerging from the study include equity-first design principles, theoretical assessment frameworks, robust data governance policies, and culturally responsive pedagogical approaches. …”
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Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region
Published 2025“…This study employs various machine learning and deep learning algorithms, specifically Random Forest (RF), Artificial Neural Network (ANN), and Deep Learning Neural Network (DLNN), to estimate landslide susceptibility in Chamoli district, Uttarakhand, India?…”
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…There has been tremendous approach from every corner of the society including government agencies in every country to implement certain global standards of the educational system, which is going to be completely online. …”
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Proceeding Paper -
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Ethical considerations for equitable outcome-based education in the metaverse: a qualitative study
Published 2025“…Thematic analysis revealed three primary ethical concerns: digital access inequities, bias in assessment algorithms, and privacy and data governance risk. Recommendations emerging from the study include equity-first design principles, theoretical assessment frameworks, robust data governance policies, and culturally responsive pedagogical approaches. …”
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Application of Artificial Intelligence In Smart City
Published 2021“…Finally, the Technological dimension proposals are establishing individual AI databases, connections of individual AI databases with global AI databases, the combination of AI application in smart building and SG, utilization of consistent Deep Learning (DL) method in medical imaging, and implementation of fully autonomous vehicles.…”
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Final Year Project / Dissertation / Thesis -
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. …”
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15
RAED: Response analysis of educational data for leveraging knowledge dissemination system
Published 2015“…The proposed architecture provides future researchers to validate their algorithm and get the provisioned output for the teaching-learning added for intelligent applications…”
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Proceeding Paper -
16
Machine learning-blockchain based autonomic peer-to-peer energy trading system
Published 2022“…A Gated Recurrent Unit (GRU) deep learning-based model, predicts future consumption based on past data aggregated to the blockchain. …”
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Diabetes risk prediction system and data visualization / Azizah Mohamad Imran and Hawa Mohd Ekhsan
Published 2023“…To determine Diabetes, the prediction model used and compared different machine learning algorithms such as Logistic Regression (LR) and Support Vector Machine (SVM). …”
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Book Section -
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Visualizing pandemics with calendar heatmaps : a case study of COVID-19 in Malaysia
Published 2024“…The proposed approach is implemented as a webbased system using the D3.js algorithm. …”
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20
Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning
Published 2021“…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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