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  1. 1
    Neighbour-based on-demand routing algorithms for mobile ad hoc networks

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…Therefore, a Dynamic Connectivity Factor Probabilistic (DCFP) is proposed, based on a novel formula that dynamically adjusts the dropping decision based on the neighbor information gathered from the node itself. …”
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  2. 2
    Teletraffic performance of mobile cellular channel assignment using genetic algorithm

    Teletraffic performance of mobile cellular channel assignment using genetic algorithm by Kiong T.S., Ismail M., Hassan A.

    Published 2023
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  3. 3
    MiMaLo: advanced normalization method for mobile malware detection

    MiMaLo: advanced normalization method for mobile malware detection by Sriyanto, Sahib @ Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Suryana, Nanna, Suhendra, Adang

    Published 2022
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  4. 4
    Mobile application for sign language learning with real time feedback

    Mobile application for sign language learning with real time feedback by Lee, Xiao Xu Alexis

    Published 2024
    “…However, limited accessibility of sign language education poses barriers to social inclusion and awareness. …”
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  5. 5
    Mobile Learning: An Application Prototype for AVL Tree Learning Object

    Mobile Learning: An Application Prototype for AVL Tree Learning Object by Ibrahim, Mohammad Noor, Mahamad, Saipunidzam, Chua, Edrea Ning Wei

    Published 2010
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  6. 6
    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types

    An intelligent data mapping for hydrological information system (his) cube data base to cater from various data types by Selamat, Harihodin, Mohd. Rahim, Mohd. Shafry, Daman, Daut

    Published 2004
    “…In this research, ontology based information extraction used hydrological data from Jabatan Pengairan dan Saliran (JPS) as the case study. …”
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  7. 7
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…How far the proposed agent-based model for CPS is able to help novice programmer is evaluated by conducting a group based experiment with 35 students from Faculty of Computer Science and Information Technology (FSKTM). …”
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  8. 8
    Traffic signal control with deep reinforcement learning

    Traffic signal control with deep reinforcement learning by Lau, Joseph Yi Zhe

    Published 2025
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  9. 9
    A review on the graphical user authentication algorithm : recognition-based and recall-based.

    A review on the graphical user authentication algorithm : recognition-based and recall-based. by Ugochukwu, Ejike Ekeke Kingsley, Jusoh, Yusmadi Yah

    Published 2013
    “…In this paper, we explore two categories of the Graphical User Authentication Algorithm: Recognition-based and Recall-based. Examples from both categories are presented to compare the types of attacks encountered, usability and security.…”
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  10. 10
    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim

    Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan

    Published 2008
    “…Additionally, the provided common information from Grid Information Service (GIS) and an arrival new job are calculated by Fuzzy C-Means (FCM) algorithm in order· to evaluate the current status of resources and groups of arrival jobs. …”
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  11. 11
    Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA)

    Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA) by Hasni, Hassan, Aznida Hayati, Zakaria@Mohamad, Mohd Isa, Awang, Mokhairi, Makhtar, Rohana, Ismail, Fadhilah, Ahmad

    Published 2017
    “…However, the focus of the paper is on a method proposed to extract adjacency matrix from concepts obtained from the theory of Formal Concept Analysis (FCA) using two consecutive algorithms called the Relatedness Algorithm and Adjacency Matrix Algorithm. …”
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  12. 12
    Book recommender mobile application / Amir Imran Kamaludin

    Book recommender mobile application / Amir Imran Kamaludin by Kamaludin, Amir Imran

    Published 2021
    “…The item based collaborative filtering are used in this system with Cosine based similarity algorithm as the main algorithm.…”
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  13. 13
    Content-based recommender system for an academic social network / Vala Ali Rohani

    Content-based recommender system for an academic social network / Vala Ali Rohani by Vala Ali, Rohani

    Published 2014
    “…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
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  14. 14
    Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan

    Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan by Mohd Ridzuan, Siti Amnah

    Published 2017
    “…Two new decision making models have been developed in this study, the first is the combination of multi-granular linguistic information using fusion algorithm and consistent fuzzy preference relations (CFPR) and the second one is the combination of multi-granular uncertain linguistic information and consistent linguistic fuzzy preference relations (CLFPR) to cater this problem. …”
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  15. 15
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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  16. 16
    Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar

    Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar by Mokhtar, Mohd Rosmadi

    Published 2001
    “…Advance in information technology has made it possible for a wide range of text-based information to be search and retrieved online, locally or from remote hosts. …”
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  17. 17
    MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data

    MGR: An Information Theory Based Hierarchical Divisive Clustering Algorithm for Categorical Data by Hongwu, Qin, Ma, Xiuqin, Herawan, Tutut, Jasni, Mohamad Zain

    Published 2014
    “…This research proposes mean gain ratio (MGR), a new information theory based hierarchical divisive clustering algorithm for categorical data. …”
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  18. 18
    My little learner: E-learning wonderland

    My little learner: E-learning wonderland by Teoh, Wei En

    Published 2025
    “…Area of Study (Minimum 1 Maximum 2): Mobile Application Development, Educational Technology Keywords (Minimum 5 Maximum 10): Kindergarten E-Learning, Mobile Learning Application, Adaptive Learning, Gamified Education, Early Childhood Education…”
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  19. 19
    Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime

    Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime by Ahmad, Noor Azlan

    Published 2008
    “…From the extensive simulations based on the performance metrics, the two proposed algorithms have shown distinct improvement and subsequently enhancing the performance of AODV.…”
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  20. 20
    Effects of Different Superpixel Algorithms on Interactive Segmentations

    Effects of Different Superpixel Algorithms on Interactive Segmentations by Soo See, Chai, Luong Goh, Kok, Weng Ng, Giap, Muzaffar, Hamzah

    Published 2022
    “…Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm that extracts a region of interest (ROI) from an image based on the input information from the user. …”
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