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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site

    Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site by Wanbo, Luo

    Published 2025
    “…Fourth, a refined Efficient Intersection over Union (EIoU) loss function, Prior-EIoU, was proposed to increase the convergence speed of the loss function and improve the recall, thereby reducing the missed detection rate. …”
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  5. 5
    Artificial intelligence prediction model for swelling potential of soil and quicklime activated rice husk ash blend for sustainable construction

    Artificial intelligence prediction model for swelling potential of soil and quicklime activated rice husk ash blend for sustainable construction by Onyelowe, Kennedy C., Jalal, Fazal E., Onyia, Michael E., Onuoha, Ifeanyichukwu C., Alaneme, George U., Ikpa, Chidozie

    Published 2021
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  6. 6
    Genetic algorithm optimization of a wideband rectangular patch antenna with an asymmetric u-slot and partial ground for Ku-band satellite communication

    Genetic algorithm optimization of a wideband rectangular patch antenna with an asymmetric u-slot and partial ground for Ku-band satellite communication by Al Gburi, Ahmed Jamal Abdullah, Bennioui, Fatim-Zahra, Khabba, Asma, Bouslam, Karima Ait, Wakrim, Layla, Ibnyaich, Saida, Zeroual, Abdelouhab, Zakaria, Zahriladha

    Published 2025
    “…The proposed design incorporates an asymmetric U-shaped slot and a partial ground plane, constructed using an FR4 substrate with dimensions of 18 × 16 × 1.6 mm3 (0.416λ × 0.37λ × 0.03λ, where λ is the wavelength at 6.94 GHz). …”
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  7. 7
    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring patterns / Wan Abdul Qayyum Moh Salleh

    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring patterns / Wan Abdul Qayyum Moh Salleh by Moh Salleh, Wan Abdul Qayyum

    Published 2013
    “…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. …”
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  8. 8
    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring pattern: article / Wan Abdul Qayyum Moh Salleh and A.K. Halim

    Design and analysis of DNA sequence alignment module using Smith-Waterman scoring pattern: article / Wan Abdul Qayyum Moh Salleh and A.K. Halim by Moh Salleh, Wan Abdul Qayyum, A.K., Halim

    Published 2013
    “…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. …”
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  9. 9
    Soliton cellular automata constructed from a Uq(Dn[1])-crystal Bn,1 and kirillov-reshetikhin type bijection for Uq(E6[1])-crystal B6,1

    Soliton cellular automata constructed from a Uq(Dn[1])-crystal Bn,1 and kirillov-reshetikhin type bijection for Uq(E6[1])-crystal B6,1 by Mohamad, Mahathir

    Published 2012
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  10. 10
    Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.]

    Machine learning approach of predicting Airline flight delay using Naïve Bayes Algorithm / Ahmad Adib Baihaqi Shukri ... [et al.] by Shukri, Ahmad Adib Baihaqi, Mohamed Yusoff, Syarifah Adilah, Warris, Saiful Nizam, Abu Bakar, Mohd Saifulnizam, Kadar, Rozita

    Published 2024
    “…The data set that records flight delay and cancellation data from U.S Department of Transportation’s (DOT) was used for the prediction. …”
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  11. 11
    Backstepping control using adaptive neural network for industrial two link robot manipulator

    Backstepping control using adaptive neural network for industrial two link robot manipulator by Jamil, M.U., Noor, M.N., Raza, M.Q., Rizvi, S.

    Published 2014
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  12. 12
    Comparative modelling of strength properties of hydrated-lime activated rice husk-ash (HARHA) modified soft soil for pavement construction purposes by artificial neural network (ANN) and fuzzy logic (FL)

    Comparative modelling of strength properties of hydrated-lime activated rice husk-ash (HARHA) modified soft soil for pavement construction purposes by artificial neural network (AN... by Onyelowe, K. C., Alaneme, G. U., Onyia, M. E., Bui Van, D., Dimonyeka, M. U., Nnadi, E., Ogbonna, C., Odum, L. O., Aju, D. E., Abel, C., Udousoro, I. M., Onukwugha, E.

    Published 2021
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  13. 13
    Understanding the causes and effects of low-risk management: implementation in projects using the DEMATEL algorithm

    Understanding the causes and effects of low-risk management: implementation in projects using the DEMATEL algorithm by Lee, Chia Kuang, Wong, Wen Nee, Nurhaizan, Mohd Zainudin, Ahmad Huzaimi, Abd Jamil

    Published 2023
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  14. 14
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
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  15. 15
    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine

    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine by Tahan, M., Sarwar, U., Muhammad, M., Abdul Karim, Z.A.

    Published 2016
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  16. 16
    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine

    Modeling and sensitivity analysis of a multi-nets anns model for real-time performance-based condition monitoring of an industrial gas turbine engine by Tahan, M., Sarwar, U., Muhammad, M., Abdul Karim, Z.A.

    Published 2016
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  17. 17
    Hybrid Neural Network and Decision Tree for for Exchange Rates Forecasting

    Hybrid Neural Network and Decision Tree for for Exchange Rates Forecasting by Ardiansyah, Soleh, Mazlina, Abdul Majid, Jasni, Mohamad Zain

    Published 2012
    “…This paper proposes a hybrid prediction model by combining both ANN and DTalgorithm to predict exchange rates. The models are constructed by using the better of parameters and architectures based on related work such as filtering mechanism, number of hidden layers, number of hidden neurons, training algorithm, and error measurement, with the assumption that if the hybrid model is constructed by the better parameters and architectures, then the output of the model also produces better result…”
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  18. 18
    Finite element analysis of the dynamic response of rubberized geopolymer concrete column subjected to lateral impact using ABAQUS

    Finite element analysis of the dynamic response of rubberized geopolymer concrete column subjected to lateral impact using ABAQUS by Azunna, Sunday U., Aziz, Farah N.A.A., Rashid, Raizal S.M., Bakar, Nabilah B.A., Mabood, Tufail

    Published 2026
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  19. 19
    Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5

    Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 by Hamzah Abdulmalek Al-Haimi, Zamani Md Sani, Tarmizi Ahmad Izzudin, Hadhrami Abdul Ghani, Azizul Azizan, Samsul Ariffin Abdul Karim

    Published 2023
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  20. 20
    Global and local clustering soft assignment for intrusion detection system: a comparative study

    Global and local clustering soft assignment for intrusion detection system: a comparative study by Mohd Rizal Kadis, Azizi Abdullah

    Published 2017
    “…In literature, many researchers used global clustering approach whereby all input will be combined and clustered to construct a codebook. …”
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