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  1. 1
    Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications

    Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2026
    “…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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  2. 2
    Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators

    Demystifying Artificial Intelligence (AI) for Early Childhood and Elementary Education: A Case Study of Perceptions of AI of State of Missouri Educators by Arnone, K., Hutson, J., Woodruff, K.

    Published 2023
    “…Artificial intelligence (AI) and its impact on society have received a great deal of attention in the past five years since the first Stanford AI100 report. …”
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  3. 3
    Age-based facial recognition using convoluted neural network deep learning algorithm

    Age-based facial recognition using convoluted neural network deep learning algorithm by Julius Yong Wu Jien, Aslina Baharum, Shaliza Hayati A. Wahab, Nordin Saad, Muhammad Omar, Noorsidi Aizuddin Mat Noor

    Published 2020
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  4. 4
    Current applications of machine learning in dentistry

    Current applications of machine learning in dentistry by Ghazali, Ahmad Badruddin, Reduwan, Nor Hidayah, Ibrahim, Roliana

    Published 2022
    “…Machine learning (ML), a subset of AI was described as an algorithm with the ability to "learn" by identifying patterns in a large dataset (Rowe, 2019). …”
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  5. 5
    Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model

    Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Wang, Yi Jie, Choo, Wei Chong, Ng, Keng Yap, Bi, Ran, Wang, Peng Wei

    Published 2025
    “…The overall goal is to uncover emerging trends and potential future paths of AI in healthcare by applying text mining to collect scientific papers and patent information. This study, using advanced text mining and multiple deep learning algorithms, utilized the Web of Science for scientific papers (1587) and the Derwent innovations index for patents (1314) from 2018 to 2022 to study future trends of emerging AI in healthcare. …”
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  6. 6
    Blood cell classification using deep learning

    Blood cell classification using deep learning by Liaw, Mun Kin

    Published 2022
    “…The advancement of Artificial Intelligence (AI) has introduced complex methods such as deep learning that would automate the classification of blood cells in a fast and accurate manner Thus, the study of White Blood Cells (WBCs) classification using deep learning techniques is proposed in this research. …”
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  7. 7
    Modelling of clinical risk groups (CRGs) classification using FAM

    Modelling of clinical risk groups (CRGs) classification using FAM by Mohd. Asi, Salina, Saad, Puteh

    Published 2006
    “…FAM is a fast learning algorithm and used less epoch training [4]. …”
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  8. 8
    Development of warranty management visualisation for automotive aftermarket with integration of AI

    Development of warranty management visualisation for automotive aftermarket with integration of AI by Abdul Hamid, Abdul Hamid, Adull Manan, Nor Fazli, Ismail, Mohd Fauzi, Abdul Wahab, Abdul Malek, Khalit, Muhammad Ilham

    Published 2026
    “…Traditional systems lack the scalability and analytical depth to extract meaningful insights, resulting in delayed claim resolution and higher operational costs. This study proposes a data driven approach to modernize warranty processes by integrating artificial intelligence with interactive visualization. …”
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  9. 9
    Active intelligent control of vibration of flexible plate structures

    Active intelligent control of vibration of flexible plate structures by Md Salleh, Salihatun

    Published 2011
    “…In this work active intelligent control comprises a set of control techniques based on particle swarm optimisation (PSO), real coded genetic algorithm (RCGA) and artificial immune system (AIS). …”
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  10. 10
    Artificial immune network model based controller for vibration suppression of flexible structures

    Artificial immune network model based controller for vibration suppression of flexible structures by Md. Salleh, Salihatun, Tokhi, M. Osman, Toha, Siti Fauziah

    Published 2010
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  11. 11
    Synthetic authenticity and audience trust in AI-generated intangible cultural heritage: a qualitative multimodal study

    Synthetic authenticity and audience trust in AI-generated intangible cultural heritage: a qualitative multimodal study by Chuyao, Wang, Adzharuddin, Nor Azura

    Published 2025
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  12. 12
    AI recommendation penetration testing tool for SQL injection: linear regression

    AI recommendation penetration testing tool for SQL injection: linear regression by Ahmad Fuad, Norshahira Elliyana, Saad, Shahadan

    Published 2025
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  13. 13
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…This project concerns the design and fabrication of the Automated Guided Robot (AGR) prototype, utilizing artificial intelligence (AI) and genetic algorithm (GA) as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. …”
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  14. 14
    An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms

    An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms by Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain

    Published 2022
    “…The comprehensive comparative study preparatory to the recommendation of the best candidate out of 24 machine learning algorithms on the SEIL dataset is presented in this work. …”
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  15. 15
    Development of Islamic Research Ethics Framework: Towards A Global Code of Ethics for Artificial Intelligence Study Within Shariah Parameters

    Development of Islamic Research Ethics Framework: Towards A Global Code of Ethics for Artificial Intelligence Study Within Shariah Parameters by Mohd Nawi, Mohd Aliff, Mohd Yaakob, Mohd Faiz, Hussin, Zalmizy, Mohd Muhaiyuddin, Nadia Diyana, Tamuri, Ab. Halim, Samuri, Mohd Al Adib, Chua, Chy Ren

    Published 2022
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  16. 16
    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification

    A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

    Published 2006
    “…The comparison made showed that LM learning algortihm is a faster training algorithm compared to BR training algorithm meanwhile BR learning algorithm capable of building a superior intelligent system in term of the overall system performance.…”
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  17. 17
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh D., Ismail F.B., Shakir Nasif M.

    Published 2023
    Conference Paper
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  18. 18
    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications

    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

    Published 2025
    “…In recent studies, we seen developers and researchers proposing solutions on deep learning algorithms like YOLO, EfficientNet, CNN, MobileNet etc. …”
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  19. 19
    The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

    The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed by Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Ahmad A., Abdullah F., Ahmad W.S.H.M.W.

    Published 2024
    “…Due to network complexity, conventional QoS-improving routing algorithms (RAs) may be impractical. Thus, researchers are developing intelligent RAs, including machine learning (ML)-based algorithms to meet traffic Q oS r equirements. …”
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  20. 20
    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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