Search Results - (( mobile evaluation model algorithm ) OR ( based information systems algorithm ))*

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  1. 1
    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
    “…Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. …”
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  2. 2
    Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich

    Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich by Bathich, Ammar

    Published 2019
    “…At the same time, the system throughput was increased. The proposed algorithms reduced the handover number, packet delay and packet loss by 48%, 89% and 85% respectively, whereas the system throughput increased by 13% compared to reference algorithms.…”
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  3. 3
    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots

    A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots by Wan Daud, Wan Mohd Bukhari, Abu, Nur Syuhadah, Omar, Siti Nashayu, Sohaimeh, Shahirul Ashraf, Adli,, M. H.

    Published 2022
    “…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
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  4. 4
    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments

    A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments by Khaksar, Weria

    Published 2013
    “…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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  5. 5
    Performance evaluation of Location-Sensitive Handoff using positioning method / Azuwa Ali and Saiful Fadzli Salian

    Performance evaluation of Location-Sensitive Handoff using positioning method / Azuwa Ali and Saiful Fadzli Salian by Ali, Azuwa, Salian, Saiful Fadzli

    Published 2009
    “…With the help of location information, handoff process can be optimize and increase the intelligent of radio resource management. …”
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    Research Reports
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  6. 6
    A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs

    A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs by Talib, Mohammed Saad, Abdullah, Nihad Ibrahim, Hassan, Aslinda, Abal Abas, Zuraida, Mohammed Al-Khazraji, Ali Abdul-Jabbar, Alamery, Thamer, Ibrahim, Ali Jalil

    Published 2020
    “…Most of the VANETs clustering approaches are based on distributed models which make the decision of clusters creation lacking the global view of the vehicle's distribution and mobility in the environment. …”
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  7. 7
    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model

    Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model by Norhaida, Binti Hussain, Wai Shiang, Cheah, Wai Loke, Seng

    Published 2025
    “…It overcomes the cost of capturing and pre-processing genuine crowd datasets. Famous simulation models include agent-based crowd guiding. The evaluation states that the existing agent-based steering model computes the complete set of collision-free paths with the least travel time among agents to make path decisions based on updated information. …”
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  8. 8
    Pet hero pet care services mobile application recommendation system using content-based filtering / Farah ‘Aliya Jasmin

    Pet hero pet care services mobile application recommendation system using content-based filtering / Farah ‘Aliya Jasmin by Jasmin, Farah ‘Aliya

    Published 2023
    “…Therefore, the introduction of the Pet Hero Pet Care Services Mobile Application using Content-Based Filtering techniques with TF-IDF algorithm can help overcome these challenges. …”
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  9. 9
    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud

    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud by Mahmud, Nur Farahana

    Published 2022
    “…An improvement is needed on this factor, which could increase the accuracy of the system in the future. The objectives of this research are to develop a Malaysian license plate recognition system using a Convolutional Neural Network (CNN) on a web application and evaluate the performance of the system based on accuracy and loss values. …”
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  10. 10
    Hotel recommendation system using machine learning

    Hotel recommendation system using machine learning by Wong, Wai On

    Published 2025
    “…There are three objectives in the study, which is to perform data preprocessing on the Google Reviews dataset for hotels in Perak using an instant data scraper, to develop three suitable machine learning models on the cleaned dataset and evaluate their performance, and to propose a recommendation system based on the developed machine learning models. …”
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    Final Year Project / Dissertation / Thesis
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  11. 11
    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e

    Performance evaluation of seed values and pause times over high speed Wireless Campus Network in IEEE802.11e by Alam Shishir, Md. Khorsed, Abd Latif, Suhaimi, Akter, Mahmuda, Hakak, Saqib Iqbal, Masud, Massarof H., Anwar, Farhat

    Published 2014
    “…Due to this randomness of back-off window algorithm to provide probabilistic QoS to satisfy the multimedia traffic through the network, the random mobility model can reduce the network performance. …”
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  12. 12
    Static analysis of Android apps for lifecycle conformance

    Static analysis of Android apps for lifecycle conformance by Zein, Samer, Salleh, Norsaremah, Grundy, John

    Published 2017
    “…Building robust and reliable mobile applications requires the developer to be fully aware of the lifecycle models for mobile applications. …”
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  13. 13
    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks

    Mitigating malicious nodes using trust and reputation based model in wireless sensor networks by Abdullah, Muhammad Daniel Hafiz

    Published 2018
    “…Most, if not all, existing models in trust and reputation domain are lack in providing sufficient behavioral-based trust information. …”
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  14. 14
    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model

    Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

    Published 2024
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  15. 15
    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network

    Adaptive manet OLSR routing protocol for optimal route selection in high dynamic network by Al-Kharasani, Nori Mohammed Abdulkarem

    Published 2020
    “…This is because of the vehicles mobility and road obstacles, which cause link failure frequent inefficiency in traditional mobile ad hoc routing protocols. …”
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  16. 16
    Android mobile malware detection model based on permission features using machine learning approach

    Android mobile malware detection model based on permission features using machine learning approach by Sharfah Ratibah, Tuan Mat

    Published 2022
    “…The popularity and primary operating system of the Android mobile device have raised concerns over malware threats. …”
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  17. 17
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…Although the performance evaluations show rate-penalty but it is acceptable considering the simplicity of the proposed algorithm. …”
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  18. 18
    State-Aware re-configuration model for multi-radio wireless Mesh Networks

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. …”
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  19. 19
    Design of a Fuzzy Logic Controller for Skid Steer Mobile Robot

    Design of a Fuzzy Logic Controller for Skid Steer Mobile Robot by Abdul Rahman, Mohd Azizi

    Published 2009
    “…The control problem of four-wheeled skid steering mobile robots is quite challenging mainly because the skid steering system is an underactuated system and its mathematical model is highly uncertain. …”
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  20. 20
    SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem

    SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Abdul Rahman, Farah Diyana, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Janin, Zuriati, Rahman, Md Arafatur

    Published 2022
    “…The initiation of the game model is carried out by identifying mobile node role followed by choosing an optimal payoff for a normal IoT node. …”
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