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  1. 1
    Implementation of an intelligent SINS navigator based on ANFIS

    Implementation of an intelligent SINS navigator based on ANFIS by Ahjebory, Karim M., Ismaeel, Salam A., Alqaissi, Ahmed M.

    Published 2009
    “…As in previous work, which is based on Artificial Neural Network, the window based weight updating strategy was used, and the intelligent navigator evaluated using several SINS hypothetical field tests data. …”
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  2. 2
    Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN)

    Network calculus-based latency for time-triggered traffic under Flexible Window-Overlapping Scheduling (FWOS) in a Time-Sensitive Network (TSN) by Shalghum, Khaled M., Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

    Published 2021
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  3. 3
    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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  4. 4
    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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  5. 5
    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning

    Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning by Yingbei, Niu, Chai, Soo See

    Published 2026
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  6. 6
    A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm

    A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm by Adam, A.A., Soleimani, H., Shukur, M.F.B.A., Dennis, J.O., Abdulkadir, B.A., Hassan, Y.M., Yusuf, J.Y., Shamsuri, N.A.B.

    Published 2022
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  7. 7
    A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm

    A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm by Adam, A.A., Soleimani, H., Shukur, M.F.B.A., Dennis, J.O., Abdulkadir, B.A., Hassan, Y.M., Yusuf, J.Y., Shamsuri, N.A.B.

    Published 2022
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  8. 8
    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi

    Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi by Ahmad Tarmizi, Muhammad Danial

    Published 2020
    “…The algorithm is built using Tensorflow software. The development of the project is based on Waterfall methodology. …”
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  9. 9
    Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises

    Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises by M. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah

    Published 2017
    “…The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. …”
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  10. 10
    Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data

    Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data by Shakir, Mohamed, Malik, Aamir Saeed, Kamel, Nidal S., Qidwai, Uvais

    Published 2014
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  11. 11
    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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  12. 12
    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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  13. 13
    Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data

    Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data by Shakir, M., Malik, A.S., Kamel, N., Qidwai, U.

    Published 2014
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  14. 14
    Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification

    Adaptive multi-parent crossover GA for feature optimization in epileptic seizure identification by Al-Sharhan, Salah, Bimba, Andrew

    Published 2019
    “…The proposed approach in this work tends to tackle the multiple EEG channels problem by segmenting the EEG signals in the frequency domain based on changing spikes rather than the traditional time based windowing approach. …”
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  15. 15
    Predictive Analytics Of Cigs Solar Cell Using A Combinational Gra-Mlr-Ga Model

    Predictive Analytics Of Cigs Solar Cell Using A Combinational Gra-Mlr-Ga Model by Salehuddin, Fauziyah, Kaharudin, Khairil Ezwan, Mohd Zain, Anis Suhaila, Roslan, Ameer Farhan

    Published 2020
    “…Nevertheless, the impact of layer thickness and doping concentration of a window layer - Zinc oxide (ZnO), a buffer layer - Cadmium sulfide (Cds) and an absorber layer (CIGS) needs to be intelligently controlled for more balanced CIGS solar cell performances. …”
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