Search Results - (( develop engaged machine algorithm ) OR ( java application optimisation algorithm ))

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  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    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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    Article
  2. 2

    A novel approach based on machine learning and public engagement to predict water-scarcity risk in urban areas by Hanoon, Sadeq Khaleefah, Abdullah, Ahmad Fikri, M. Shafri, Helmi Z., Wayayok, Aimrun

    Published 2022
    “…Due to the complex urban fabric, conventional techniques should be developed to diagnose water shortage risk (WSR) by engaging crowdsourcing. …”
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    Article
  3. 3

    Predicting motorcycle customization preferences using machine learning by Saputra, Ananta, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

    Published 2025
    “…The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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    Conference or Workshop Item
  4. 4

    Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.] by Amin, Ahmad, Rahmawaty, Rahmawaty, Lautania, Maya Febrianty, Abdul Rahman, Rahayu

    Published 2023
    “…The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
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    Article
  5. 5

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    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
  6. 6

    Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

    Published 2019
    “…These chatbots acquired its intelligence through a hybrid approach that combines pattern-matching technique and machine learning algorithm in order to formulate its responses. …”
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    Conference or Workshop Item
  7. 7
  8. 8

    Analyzing customer reviews for ARBA Travel using sentiment analysis by Abdullah, Nurulain

    Published 2025
    “…The project entails gathering a dataset of customer reviews from Google Reviews and Facebook, cleaning the text to eliminate any noise, and analyzing sentiments using three machine learning algorithms; Naive Bayes, Support Vector Machine, and Logistic Regression. …”
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    Student Project
  9. 9
  10. 10

    Innovating communication adaptation on social media using AI-based decision support systems by Zakaria, Noor Azura, Adriana, Dadi, Budi, Danang Surya, Mardiana, Mardiana, Rafika, Ageng Setiani, Asmawati, Ari

    Published 2025
    “…The study contributes practical implications for developers and practitioners aiming to design intelligent platforms that empower social media users with innovative tools for communication adaptation, ultimately driving more effective and engaging digital experiences…”
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    Article
  11. 11

    An object properties filter for multi-modality ontology semantic image retrieval by Sulaiman, Mohd Suffian, Nordin, Sharifalillah, Jamil, Nursuriati

    Published 2017
    “…To achieve this, a multi-modality ontology semantic image framework was proposed, comprising of four main components which were resource identification, information extraction, knowledge-based construction and retrieval mechanism.A new approach, namely object properties filter is proposed by customizing the semantic image retrieval algorithm and the graphical user interface to facilitate the user to engage with the machine i.e. computers, in order to enhance the retrieval performance.The experiment results showed that the proposed approach delivered better results compared to the approach that did not use the object properties filter based on probability precision measurement.…”
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    Article
  12. 12

    An application of predicting student performance using kernel k-means and smooth support vector machine by Sajadin, Sembiring

    Published 2012
    “…In this study, psychometric factors used as predictor variables, thereare Interest, Study Behavior, Engaged Time, Believe, and Family Support.The rulemodel developed using Kernel K-means Clustering and Smooth Support Vector MachineClassification.Both of these techniquesbased on kernel methodsand relativelynew algorithms of data mining techniques, recently received increasingly popularity in machine learning community. …”
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    Thesis
  13. 13

    Immersive AR pet game with hand motion by Chong, Jing Voon

    Published 2023
    “…ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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    Final Year Project / Dissertation / Thesis
  14. 14

    Exploring the unseen: Unleashing the potential of Synthesia AI in pedagogical approaches / Ts. Jacqueline Joseph by Joseph, Jacqueline

    Published 2023
    “…The rapid development of AI, or artificial intelligence, in recent years is reshaping the way people interact with machines. …”
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    Article
  15. 15

    Decision tree and rule-based classification for predicting online purchase behavior in Malaysia / Maslina Abdul Aziz, Nurul Ain Mustakim and Shuzlina Abdul Rahman by Abdul Aziz, Maslina, Mustakim, Nurul Ain, Abdul Rahman, Shuzlina

    Published 2024
    “…The performance of six machine learning models comprising J48, Random Tree, REPTree representing decision trees and JRip, PART, and OneR as rule-based algorithms was assessed. …”
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    Article
  16. 16

    Distributed Denial-of-Service Defense System by Hanasi, Lidiyawatie

    Published 2006
    “…The scope of study will coverthe aspect of howthe attack detection algorithms work and identify the attack traffic, hence develop appropriate attack responses. …”
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    Final Year Project
  17. 17

    Al-Istikhlāf framework in the age of artificial intelligence: reclaiming the human identity and responsibility in the digital era by Wan Ismail, Hidayah, Abdelaziz, Berghout

    Published 2025
    “…Drawing on Qur’ānic exegesis, classical Islamic scholarship, and contemporary AI ethics, it contrasted natural intelligence with machine computation and highlighted the unique moral, spiritual, and teleological dimensions of humanity that cannot be replicated by algorithms. …”
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    Article
  18. 18

    A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era by Saiid, Muhammad, Bah, Ahmadou Pathe, Ahmad Dahlan, Abdul Rahman

    Published 2022
    “…The results from the analysis and design of the BMC and SC indicate that the principal changes required to digitally transform the university to a UotF include: the adoption of an open learning system for flexible and lifelong learning; transitioning the campus to a more 'smart', eco-friendly and sustainable campus; incorporating the latest artificial intelligence, machine learning algorithms, and data analytics to improve the university‘s management systems and enhance delivery mechanisms for teaching and learning; and to improve community engagement relationships and partnerships to deliver value to the economic, health and safety of the society, as well as to leverage the open learning system to provide curated courses to niche categories of students locally and globally.…”
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    Article
  19. 19

    Ump Intelligent Chatbot Using Dialogflow by Joachim, Agostain

    Published 2022
    “…A chatbot is an automated program that interacts with customers like a human would and cost little to nothing to engage with. To create such a chatbot, a machine learning algorithm is used to learn the human language that is mainly used during such conversations. …”
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    Undergraduates Project Papers
  20. 20

    Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz by Abdul Aziz, Azzatul Husna

    Published 2025
    “…The CRISP-DM methodology was followed to apply machine learning algorithms, namely Random Forest, Decision Tree, and Naive Bayes, to the data gathered in the library which is traffic, book rentals, and questionnaires. …”
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    Thesis