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  1. 1
    Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network

    Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network by Puteri Azwa, Ahmad

    Published 2014
    “…This study proposed Extended Virtual Force and Cuckoo Search (EVFCS) algorithm with a combination of EVFA and CS algorithm to find an optimal node placement. …”
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  2. 2
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  3. 3
    A new fair marker algorithm for DiffServ networks

    A new fair marker algorithm for DiffServ networks by Elshaikh, M.A., Mohamed, Othman, Subramaniam, Shamala, Md. Desa, Jalil

    Published 2008
    “…The paper design and implement the algorithm with extensive simulations using NS-2 simulator to compare the proposed algorithm with previous algorithms. …”
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  4. 4
    Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes

    Location-based Solar Energy Potential Prediction Algorithm for Mountainous Rural Landscapes by Onabajo, Olawale Olusegun, Tan, Chong Eng

    Published 2013
    “…This paper describes the implementation of an algorithm that can be used to predict solar energy potential of irregular landscapes. …”
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  5. 5
    Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation

    Dynamic key scheduling algorithm for block ciphers using quasigroup string transformation by Hassan Disina, Abdulkadir

    Published 2018
    “…Furthermore, the proposed KSA algorithm has been validated using the randomness test proposed and recommended by NIST, avalanche test and has achieved remarkable result of 94%, brute force and correlation assessment test with -0.000449 correlations. …”
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  6. 6
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  7. 7
    Artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy

    Artificial neural network algorithm for predicting the surface roughness in end milling of Inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  8. 8
    Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique

    Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

    Published 2022
    “…The work in this thesis is expected to be the best approach in formulating an adaptive fuzzy technique based on brute force and regression algorithms for optimization and prediction of EMS in BEV application.…”
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  9. 9
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  10. 10
    The quadriceps muscle of knee joint modelling using neural network approach: Part 2

    The quadriceps muscle of knee joint modelling using neural network approach: Part 2 by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Mohamed Ramli, Norazan, Mohamed Nasir, Noorhamizah, Ksm Kader Ibrahim, Babul Salam, Huq, Mohammad Saiful

    Published 2017
    “…Theoretically, the most common algorithm to train the network is the backpropagation (BP) algorithm which is based on the minimization of the mean square error (MSE). …”
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  11. 11
    Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah

    Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah by Siti Asmah, Abdullah

    Published 2019
    “…Optimizing the cost in every aspect is important in the implementation of artificial intelligence (A.I.) without affecting the accuracy of the output. …”
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  12. 12
    Short term load forecasting using a hybrid neural network

    Short term load forecasting using a hybrid neural network by Yap K.S., Abidin I.Z., Lim C.P., Shah M.S.

    Published 2023
    Conference paper
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