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  1. 1
    Fast and efficient sequential learning algorithms using direct-link RBF networks

    Fast and efficient sequential learning algorithms using direct-link RBF networks by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George

    Published 2003
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  2. 2
    Parallel and Separable Recursive Levenberg- Marquardt Training Algorithm

    Parallel and Separable Recursive Levenberg- Marquardt Training Algorithm by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George

    Published 2002
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  3. 3
    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection

    Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection by Sevamalai, Venantius Kumar

    Published 1998
    “…The ratio of object pixels to the entire area of each section is calculated and used as an input into a feedforward neural network. …”
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  4. 4
    Distribution network fault section estimation using analytical database approach

    Distribution network fault section estimation using analytical database approach by Mokhtar, Ahmad Safawi

    Published 2004
    “…Database search and comparison algorithms were developed to identify the faulty section fix the network. …”
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  5. 5
    Permission-based fault tolerant mutual exclusion algorithm for mobile Ad Hoc networks

    Permission-based fault tolerant mutual exclusion algorithm for mobile Ad Hoc networks by Zarafshan, Faraneh

    Published 2015
    “…It does not utilize any token, that is similar to permission-based, and the latest node having the critical section influences the entrance of the next node to the critical section, that is similar to token-based algorithms. …”
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  6. 6
    New synchronization protocol for distributed system with TCP extension

    New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

    Published 2013
    “…Hence, the presented solutions are unable to identify active processes that are currently related to critical sections and dead in the network communication. …”
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  7. 7
    Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman

    Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman by Seman, Noraini

    Published 2012
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  8. 8
    The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]

    The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.] by Md Razak, Mohamad Idham, Ahmad, Ismail, Bujang, Imbarine, Talib, Adi Hakim, Kedin, Nor Adila

    Published 2012
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  9. 9
    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut

    Malaria parasites segmentation in red blood cells images using mean-shift and median-cut by Tn. Muda, Tn. Zalizam, A Salam, Rosalina

    Published 2010
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  10. 10
    Zakat distribution system for Asnaf selection using artificial neural network algorithm in UiTM Cawangan Melaka / Ameera Iman Hassan, Ismadi Md Badarudin and Noor Afni Deraman

    Zakat distribution system for Asnaf selection using artificial neural network algorithm in UiTM Cawangan Melaka / Ameera Iman Hassan, Ismadi Md Badarudin and Noor Afni Deraman by Hassan, Ameera Iman, Md Badarudin, Ismadi, Deraman, Noor Afni

    Published 2022
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  11. 11
    An energy based cluster head selection unequal clustering algorithm with dual sink (ECH-DUAL) for continuous monitoring applications in wireless sensor networks

    An energy based cluster head selection unequal clustering algorithm with dual sink (ECH-DUAL) for continuous monitoring applications in wireless sensor networks by Alagirisamy, Mukil, Chow, Chee Onn

    Published 2018
    “…The essential sections of the hot spot problem are network lifetime improvements and uniform residual energy distribution in wireless sensor networks (WSN). …”
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  12. 12
    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail

    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

    Published 2015
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  13. 13
    Exploiting Bayesian belief network for adaptive IP-reuse decision

    Exploiting Bayesian belief network for adaptive IP-reuse decision by Azman, Amelia Wong, Bigdeli, Abbas, Biglari-Abhari, Morteza, Mohd Mustafah, Yasir, Lovell, Brian

    Published 2009
    “…In the experiment section of this paper, we report a comparison of our proposed framework with three previously published work: A BBN based method proposed by a research group from the University of Arizona, the exhaustive algorithm and finally the with greedy algorithms.…”
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  14. 14
    Mobility Management Incorporating Pattern Recognition in the Handoff Decision

    Mobility Management Incorporating Pattern Recognition in the Handoff Decision by Kwong, C.F., Lee, S.W., Sim, M.L.

    Published 2009
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  15. 15
    A new approach for convert multiply-connected trees in Bayesian networks

    A new approach for convert multiply-connected trees in Bayesian networks by Hussein, Baloochian, Alireza, Khantimoory, Saeed, Balochian

    Published 2009
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  16. 16
    Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting

    Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting by Lai, Fong Woon

    Published 2014
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  17. 17
    High-impedance fault location using matching technique and wavelet transform for underground cable distribution network

    High-impedance fault location using matching technique and wavelet transform for underground cable distribution network by Ali, M.S., Bakar, Ab Halim Abu, Mokhlis, Hazlie, Arof, Hamzah, Illias, Hazlee Azil

    Published 2014
    “…Locating the faulty section of a high-impedance fault (HIF) is quite challenging for the underground distribution network of a power system. …”
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  18. 18
    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
    “…This chapter is organized by firstly presenting potential use of ML in dentistry in Section 1.2. Section 1.3 describes the methodology for ML research while Section 1.4 explains the applications of ML in dentistry. …”
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  19. 19
    Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics

    Synthesis of Heat Exchangers Network (HEN) by Revisiting the Method Based on 2nd Law of Thermodynamics by Hoo, Shean Chuan

    Published 2009
    “…Then, literature review gives clearly about the theory of the project. The following section touches on methodology of the project. Algorithm of HEN has been displayed in this section. …”
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    Final Year Project
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  20. 20
    Implementation of Objects Recognition in Seismic Image via Artificial Neural Network (ANN)

    Implementation of Objects Recognition in Seismic Image via Artificial Neural Network (ANN) by Wan , Chin Ee

    Published 2012
    “…Seismic image processing is necessary in oil and gas exploration to identify the existence of potential reservoir by classifying the seismic image into different sections. …”
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