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  1. 1
    Using artificial intelligence search in solving the camera placement problem

    Using artificial intelligence search in solving the camera placement problem by Altahir, A.A., Asirvadam, V.S., Hamid, N.H.B., Sebastian, P.

    Published 2022
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  2. 2
    Visualization of dengue incidences using expectation maximization (EM) algorithm

    Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

    Published 2017
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  3. 3
    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography

    Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography by Huddin, Azzam Basseri, Huddin, Aqilah Baseri, Tharek, Anas, Wan Zaki, Wan Mimi Diyana, Muda, Ahmad Sobri

    Published 2022
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  4. 4
    Intelligent Optimization Systems for MaintenanceScheduling of Power Plant Generators

    Intelligent Optimization Systems for MaintenanceScheduling of Power Plant Generators by Ismail F.B., Randhawa G.S., Al-Bazi A., Alkahtani A.A.

    Published 2024
    “…The Analytical Hierarchy Process (AHP), a decision-making tool, is implemented to aid the researcher in prioritizing and re-ranking the maintenance activities from the most important to the least. The intelligent optimization models are developed using MATLAB and the developed intelligent algorithms are tested on a case study in a coal power plant located at minjung, Perak, Malaysia. …”
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  5. 5
    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State

    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

    Published 2022
    “…Furthermore, a hybrid Spatial-Artificial Intelligence (AI) algorithm is proposed to integrate RES sites with minimum total distance and minimum total elevation difference. …”
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  6. 6
    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning

    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

    Published 2025
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  7. 7
    Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation

    Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation by Kamal Z., Zamli, Ahmed, Bestoun S., Mahmoud, Thair, Afzal, Wasif

    Published 2018
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  8. 8
    Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid

    Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

    Published 2013
    “…At first, in producing a good optimization algorithm, a hybridization technique was proposed for adopting the finest features of two different algorithms; namely the Genetic Algorithm (GA) and continuous domain Ant Colony Optimization (ACOr). …”
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  9. 9
    DNA sequence design for direct-proportional length-based DNA computing: Particle swarm optimization vs population based ant colony optimization

    DNA sequence design for direct-proportional length-based DNA computing: Particle swarm optimization vs population based ant colony optimization by Zulkifli, Md. Yusof, Muhammad Arif, Abdul Rahim, Sophan Wahyudi, Nawawi, Kamal, Khalil, Zuwairie, Ibrahim

    Published 2012
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  10. 10
    Dual-loop single dimension fuzzy-based sliding mode control design for robust tracking of an underactuated quadrotor craft

    Dual-loop single dimension fuzzy-based sliding mode control design for robust tracking of an underactuated quadrotor craft by Abro, G.E.M., Bin Mohd Zulkifli, S.A., Asirvadam, V.S.

    Published 2022
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  11. 11
    Dual-loop single dimension fuzzy-based sliding mode control design for robust tracking of an underactuated quadrotor craft

    Dual-loop single dimension fuzzy-based sliding mode control design for robust tracking of an underactuated quadrotor craft by Abro, G.E.M., Bin Mohd Zulkifli, S.A., Asirvadam, V.S.

    Published 2022
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  12. 12
    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations

    Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer’s disease diagnosis across diverse populations by Ibrahim, Nur Shahidatul Nabila, Suppiah, Subapriya, Ibrahim, Buhari, Mohad Azmi, Nur Hafizah, Seriramulu, Vengkatha Priya, Mohamad, Mazlyfarina, Hanafi, Marsyita, Mohammad Sallehuddin, Hakimah, Omar Sharif, Nurallysha Najwa, Razali, Rizah Mazzuin, Harrun, Noor Harzana

    Published 2025
    “…Traditional voxel-based morphometry (VBM) used for measuring hippocampal volume can be time-laborious and sensitive to pre-processing errors, thus CNN-based algorithms can minimize the time and reduce human errors. …”
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  13. 13
    Content-based indexing of low resolution documents

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…The proposed identification and indexing method in the thesis uses a Visual Signature (VS). VS consists of the captures slides textual layout’s graphical information, shape’s moment and spatial distribution of colour. …”
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  14. 14
    Utilization of Artificial Neural Networks to Improve the Accuracy of a Hybrid Power System Model

    Utilization of Artificial Neural Networks to Improve the Accuracy of a Hybrid Power System Model by Atef, M., Abdullah, M.F., Khatib, T., Romlie, M.F.

    Published 2019
    “…Due to the high operating cost of GTG system compared even with the grid supply in Malaysia, Tenaga Nasional Berhad (TNB). …”
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  15. 15
    Utilization of Artificial Neural Networks to Improve the Accuracy of a Hybrid Power System Model

    Utilization of Artificial Neural Networks to Improve the Accuracy of a Hybrid Power System Model by Atef, M., Abdullah, M.F., Khatib, T., Romlie, M.F.

    Published 2019
    “…Due to the high operating cost of GTG system compared even with the grid supply in Malaysia, Tenaga Nasional Berhad (TNB). …”
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  16. 16
    Stereo matching algorithm based on deep learning: a survey

    Stereo matching algorithm based on deep learning: a survey by Hamzah, Rostam Affendi, Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar

    Published 2022
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