Search Results - (( mobile evaluation tree algorithm ) OR ( panel notification swarm algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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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    Proceeding Paper
  3. 3

    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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    Proceeding Paper
  4. 4

    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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    Conference or Workshop Item
  5. 5

    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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    Article
  6. 6

    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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    Article
  7. 7

    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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    Conference or Workshop Item
  8. 8

    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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    Thesis
  9. 9

    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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    Conference or Workshop Item
  10. 10
  11. 11

    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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    Thesis
  12. 12

    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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    Article
  13. 13

    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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    Thesis
  14. 14

    The prediction of stock management for Farmasi Chendering by Gamal, Nurul Fatihah

    Published 2025
    “…This project focuses on Farmasi Chendering, aiming to develop a predictive stock management system using ABC-VEN analysis and the J48 decision tree algorithm. The adapted CRISP-DM methodology guided the development process, encompassing data preparation, modeling, evaluation, and deployment. …”
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    Student Project
  15. 15

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…To this end, computationally efficient classification algorithms such as decision tree, logistic regression and k-Nearest Neighbors were used to implement diverse, flexible and dynamic human activity detection systems. …”
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    Article
  16. 16
  17. 17

    Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning by Koe, Jia Chi

    Published 2020
    “…Six supervised machine learning algorithms (Linear Regression, Logistic Regression, K Nearest Neighbors (KNN), Decision Trees (DT), Support Vector Machine (SVM) and Random Forest) are used to perform disease prediction. …”
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    Final Year Project / Dissertation / Thesis
  18. 18

    Discovering optimal features using static analysis and a genetic search based method for Android malware detection by Firdaus, Ahmad, Anuar, Nor Badrul, Karim, Ahmad, Razak, Mohd Faizal Ab

    Published 2018
    “…To evaluate the best features determined by GS, we used five machine learning classifiers, namely, Naïve Bayes (NB), functional trees (FT), J48, random forest (RF), and multilayer perceptron (MLP). …”
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    Article
  19. 19

    Discovering optimal features using static analysis and a genetic search based method for Android malware detection by Ahmad Firdaus, Zainal Abidin, Nor Badrul, Anuar, Ahmad, Karim, Mohd Faizal, Ab Razak

    Published 2018
    “…To evaluate the best features determined by GS, we used five machine learning classifiers, namely, Naïve Bayes (NB), Functional Trees (FT), J48, Random Forest (RF), and Multilayer Perceptron (MLP). …”
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    Article
  20. 20

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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    Thesis