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  1. 1
    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh

    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

    Published 2021
    “…The second evaluation divides into three scenarios. The first one evaluates Coalition-Based Index-Tree framework independently, without any effect from Dynamic-Coalition framework and Static-Coalition algorithm. …”
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  2. 2
    Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks

    Optimized routing algorithm for mobile multicast source in Wireless Mesh Networks by Sanni, Mistura Laide, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Anwar, Farhat, Ahmed, Gharib Subhi Mahmoud

    Published 2015
    “…Thus this paper proposes a Differential Evolution based optimized mobile multicast routing algorithm for the shared tree architecture. …”
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  3. 3
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by M. Ali, Borhanuddin, Habaebi, Mohamed Hadi, AI-Talib, Sahar

    Published 2003
    “…A new multicast group joidleave mechanism for mobile nodes (MNs) is proposed. The mechanism is based on hash algorithm. …”
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  4. 4
    A new multicast-based architecture to support host mobility in IPv6

    A new multicast-based architecture to support host mobility in IPv6 by Mohd Ali, Borhanuddin, Habaebi, Mohamed Hadi, Al-Talib, Sahar Abdul Aziz

    Published 2003
    “…The branches of the tree grow and shrink to reach the mobile node when necessary. …”
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  5. 5
    Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]

    Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina

    Published 2022
    “…From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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  6. 6
    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues

    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali *, Siti Maryam, Ahmad Kendong, Hajar, Fauzan Ahmad

    Published 2024
    “…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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  7. 7
    Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment

    Extracting crown morphology with a low-cost mobile LiDAR scanning system in the natural environment by Wang, Kai, Zhou, Jun, Zhang, Wenhai, Zhang, Baohua

    Published 2021
    “…The algorithm defined in this study was evaluated with manual measurements as reference, and the morphological parameters of the canopy obtained using the LOAM and LeGO-LOAM algorithms as the basic framework were compared. …”
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  8. 8
    Scalable rekeying algorithm in IEEE 802.16e

    Scalable rekeying algorithm in IEEE 802.16e by Sadeghi, Mohammad Mehdi Gilanian, Mohd Ali, Borhanuddin, Ma, Maode, Ab Manan, Jamalul-lail, Noordin, Nor Kamariah, Khatun, Sabira

    Published 2011
    “…This paper proposes a Scalable Rekeying Algorithm (SRA) based on a complete binary tree structure. …”
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  9. 9
    Multicast-Based Mobile Ipv6 Join/Leave Mechanism Software

    Multicast-Based Mobile Ipv6 Join/Leave Mechanism Software by A.M. Ali, Sahar

    Published 2003
    “…Performance during handoff where the mobile moves from one cell, or coverage area, to another is a significant factor in evaluating wireless networks.…”
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  10. 10
    Scalable rekeying algorithm in IEEE 802.16e

    Scalable rekeying algorithm in IEEE 802.16e by Gilanian Sadeghi, Mohammad Mehdi, Borhanuddin, Mohd Ali, Ma, Maode, Jamalul-lail, Ab Manan, Nor Kamariah, Noordin, Sabira, Khatun

    Published 2011
    “…This paper proposes a Scalable Rekeying Algorithm (SRA) based on a complete binary tree structure. …”
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  11. 11
    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks

    Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks by Mantoro, Teddy, Shaukat Ali, Haroon, Ayu, Media Anugerah, Usino, Wendi

    Published 2011
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  12. 12
    Reverse migration prediction model based on machine learning / Azreen Anuar

    Reverse migration prediction model based on machine learning / Azreen Anuar by Anuar, Azreen

    Published 2024
    “…For this purpose, three (3) algorithms have been assessed, namely, the Random Forest, Decision Tree, and Gradient Boosted Tree. …”
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  13. 13
    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues

    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali, Siti Maryamg, Ahmad Kendon, Hajar Fauzan, Ahmad

    Published 2024
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  14. 14
    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation

    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation by Illias, Hazlee Azil, Wee, Zhao Liang

    Published 2018
    “…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
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  15. 15
    Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga

    Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga by Mwenge , Mulenga

    Published 2022
    “…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. …”
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  16. 16
    Position-based multicast routing in mobile ad hoc networks: an analytical study

    Position-based multicast routing in mobile ad hoc networks: an analytical study by Qabajeh, Mohammad M., Hassan Abdalla Hashim, Aisha, Khalifa, Othman Omran, Qabajeh, Liana K.

    Published 2012
    “…PBQMRP builds a source multicast tree guided by the geographic information of the mobile nodes, which helps in achieving more efficient multicast delivery. …”
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  17. 17
    CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING

    CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING by DEMPI, CHRISTIE BANGI

    Published 2018
    “…There is a need to develop a low cost automatic corrosion damage identification. This project focuses on early detection of pipelines and gas tanks corrosion in oil and gas. …”
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  18. 18
    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi

    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…The project will implement automated detection and disease management recommendation algorithms while evaluating the functionality and usability of the designed application. …”
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  19. 19
    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

    Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

    Published 2006
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  20. 20
    Analysis of banana plant health using machine learning techniques

    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…Recent research emphasizes the imperative nature of addressing diseases that impact Banana Plants, with a particular focus on early detection to safeguard production. The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. …”
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