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  1. 1
    Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours

    Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours by Baneamoon, Saeed Mohammed Saeed

    Published 2010
    “…An enhanced Bucket Brigade Algorithm (BBA) is developed to avoid the problem of choosing classifiers with high strength value but with incorrect behaviour. …”
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  2. 2
    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal

    Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal by Camellia , Mohd Kamal

    Published 2004
    “…Interactive Learning Package for Artificial Neural Network (Demonstration Module) is a learning package that allow the users to learn and enhance the understanding of the ANN subject in more detailed way and apply in the demonstration parts. …”
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  3. 3
    Enhancement of network security by use machine learning

    Enhancement of network security by use machine learning by Hasan, Ahmed Raheem

    Published 2019
    “…By the end of the research, graphs and animation system have done shown to demonstrate the basic operation of the enhance network with machine learning system. …”
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  4. 4
    Implementation of hashed cryptography algorithm based on cryptography message syntax

    Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

    Published 2019
    “…The important study in this research is an automated learning system for deep learning to enhance security. …”
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  5. 5
    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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  6. 6
    Adaptive mechanism for enhanced performance of shark smell optimization / Nur Atharah Kamarzaman, Shahril Irwan Sulaiman and Intan Rahayu Ibrahim

    Adaptive mechanism for enhanced performance of shark smell optimization / Nur Atharah Kamarzaman, Shahril Irwan Sulaiman and Intan Rahayu Ibrahim by Kamarzaman, Nur Atharah, Sulaiman, Shahril Irwan, Ibrahim, Intan Rahayu

    Published 2021
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  7. 7
    Kodepoly: an engaging approach to blended futuristic learning in coding

    Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

    Published 2024
    “…In conclusion, Kodepoly demonstrates significant potential in enhancing coding education through a blended, futuristic learning model. …”
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  8. 8
    Segmentation and Grading of Sinus Images

    Segmentation and Grading of Sinus Images by Eisak bin Sagiman, Eisak

    Published 2010
    “…In this project, a trajectory-learning algorithm using contourlets is proposed to enhance the CT sinus image without sacrificing accuracy. …”
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  9. 9
    The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer

    The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer by Tehseen Mazhar, Inayatul Haq, Allah Ditta, Syed Agha Hassnain Mohsan, Faisal Rehman, Imran Zafar, Jualang Azlan Gansau, Lucky Poh Wah Goh

    Published 2023
    “…Machine learning (ML) can enhance a dermatologist’s work, from diagnosis to customized care. …”
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  10. 10
    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution

    A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

    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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  11. 11
    Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin

    Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin by AmirHussin, 'Afina

    Published 2019
    “…Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the local decisions of a classifier. …”
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  12. 12
    Campus study buddy : collaborative learning and resource sharing app

    Campus study buddy : collaborative learning and resource sharing app by Huang, Yifan

    Published 2024
    “…The final deliverable of the project is an Android mobile application that integrates Google Cloud and Google Firebase while providing basic functions. The delivered application allows users to get started quickly and allows students to use it as a learning companion to enhance the learning experience. …”
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  13. 13
    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph

    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

    Published 2023
    “…This research study aims to investigate the effectiveness of utilizing Synthesia Artificial Intelligence (AI), an advanced instructional tool, in enhancing laboratory experiments. The research focused on evaluating the impact of incorporating Synthesia AI as a supplementary learning resource on student learning outcomes in laboratory settings. …”
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  14. 14
    Restock management system by using market basket analysis / Nazrin Adnan

    Restock management system by using market basket analysis / Nazrin Adnan by Adnan, Nazrin

    Published 2016
    “…This study is focus on Market Basket Analysis which is analyze the customer purchase behavior from previous purchases by using apriori algorithm. Market Basket Analysis will analyze the frequent itemset that has been brought by customer while apriori algorithm will learn step by step each of the item through the purchases history. …”
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  15. 15
    Email spam classification based on deep learning methods: A review

    Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

    Published 2025
    “…The evolution of spam filtering has progressed considerably, transitioning from basic rule-based filters to more sophisticated machine learning algorithms. …”
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  16. 16
    A comparative analysis of machine learning approaches in sukuk price estimation across global regions

    A comparative analysis of machine learning approaches in sukuk price estimation across global regions by Islam, Gazi Taufiq, Malakar, Surajit, Hassan, Khondekar Lutful, Dey, Rajesh, Mahajan, Rupali A, Kassim, Salina

    Published 2024
    “…Future studies could explore comparative analyses of different machine learning algorithms, refine models for dynamic market conditions, and incorporate real-time data integration to enhance Sukuk price forecasting accuracy. …”
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  17. 17
    RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system

    RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system by Olanrewaju, Rashidah Funke, Khan, Burhan Ul Islam, Mir, Roohie Naaz, Baba, Asifa Mehraj, Gannie, Mohammad Rafiq

    Published 2015
    “…The existing frameworks mainly Hadoop and its ecosystem provide a basic structure to store process and analyze, but it lags the insight to meet the provisioned or conceptualized applications towards enhancing the teaching-learning philosophy. …”
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  18. 18
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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  19. 19
    Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques

    Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques by Arif Z.H., Mahmoud M.A., Abdulkareem K.H., Mohammed M.A., Al-Mhiqani M.N., Mutlag A.A., Dama�evi?ius R.

    Published 2023
    Review
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  20. 20
    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure

    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure by Asmai, S. A.

    Published 2014
    “…Apriori is a popular algorithm in finding frequent set of items in data and association rule. …”
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    Conference or Workshop Item
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