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  1. 1
    Performance evaluation of vertical handoff in fourth generation (4G) networks model

    Performance evaluation of vertical handoff in fourth generation (4G) networks model by 'Aini Syuhada, Md Zain, Mahamod, I., Wan Nur Suryani Firuz, Wan Ariffin

    Published 2009
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  2. 2
    Inter system handoff management in cellular mobile networks / Syamil Khalid

    Inter system handoff management in cellular mobile networks / Syamil Khalid by Khalid, Syamil

    “…The boundary cell of cellular network system is designed by using MATLAB design software. A simulation model is developed to study the performance of the relative signal strength with hysteresis and threshold (RSS-HT) algorithm. …”
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  3. 3
    A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS

    A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS by Mousavi, M., Yap, Hwa Jen, Musa, S.N., Md Dawal, Siti Zawiah

    Published 2017
    “…A fuzzy hybrid GA-PSO (genetic algorithm – particle swarm optimization) algorithm was developed to optimize the model. …”
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  4. 4
    Inter-system handoff management in mobile cellular networks / Syamil Khalid

    Inter-system handoff management in mobile cellular networks / Syamil Khalid by Khalid, Syamil

    Published 2011
    “…The boundary cell of cellular network system is also designed by using MATLAB R2009a software. A simulation model developed to study the performance of the relative signal strength with hysteresis and threshold (RSS-HT) algorithm between mobile and radio tower in cellular network. …”
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  5. 5
    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
    “…Key features and drawbacks of the most representative approaches have been studied. Modeling issues and the key performance evaluation for HeNB-specific mobility management are discussed and studied as well. …”
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  6. 6
    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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  7. 7
    Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET

    Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET by Ahmed, Diaa Eldein Mustafa, Khalifa, Othman Omran

    Published 2017
    “…Different mobility and scalability scenarios are evaluated after simulation of network with the help of OPNET modeler simulator…”
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  8. 8
    Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization

    Evolution of RF-signal cognition for wheeled mobile robots using pareto multi-objective optimization by Chin, Kim On, Teo, Jason Tze Wi

    Published 2009
    “…A mobile robot is simulated in a 3D, physics-based environment for the RF-localization behavior. …”
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  9. 9
    3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control

    3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control by Muhammad Firdaus, Masrom

    Published 2020
    “…This model is proposed to represent a real hardware application for example mobile robot, walking robot and an airplane landing system. …”
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  10. 10
    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
    “…This study describes a mobile crowd evacuation simulation that effectively distributes emergency information in disaster scenarios. …”
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  11. 11
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
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  12. 12
    The classification of wink-based eeg signals by means of transfer learning models

    The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

    Published 2021
    “…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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  13. 13
    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification

    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

    Published 2025
    “…Deep learning models, including U-Net, Res-UNet, and DeepLabv3+ with pre-trained backbones such as MobileNetV2, ResNet-18, ResNet-50, and Xception, were trained and evaluated along side a traditional Otsu's thresholding method as the baseline for crack detection and segmentation. …”
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  14. 14
    Simulation of packet scheduling in cognitive long term evolution-advanced

    Simulation of packet scheduling in cognitive long term evolution-advanced by Mansor, Mohama 'Ismat Hafizi, Mohd. Ramli, Huda Adibah, Asnawi, Ani Liza, Mohd. Isa, Farah Nadia

    Published 2017
    “…However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. …”
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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
    “…To provide the necessary robustness, a new Cluster-based Adoptive Cooperative Algorithm (CACA) for VANET is introduced to improve the scalability of the network and reduce control overhead. …”
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  16. 16
    Improving Adaptive Quality of Service for Multimedia Wireless Networks Using Hierarchical Networks Approach

    Improving Adaptive Quality of Service for Multimedia Wireless Networks Using Hierarchical Networks Approach by Kandasamy, Saravanan

    Published 2004
    “…A PhD candidate, Prihandoko have proposed an Adaptive QoS (AdQoS) model to guarantee the delivery of multimedia services. …”
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  17. 17
    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems

    Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

    Published 2005
    “…The model can be applied to evaluate smart antenna systems and beamforming algorithms in the uplink by generating uncorrelated multipaths Rayleigh fading waveforms with certain spatio-temporal correlation and spatial coordinates relative to base stations to simulate received signals from mobiles and interferers. …”
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  18. 18
    Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications

    Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications by IZZAH NILAMSYUKRIYAH, BUANG, Kartinah, Zen, Syahrul Nizam, Junaini

    Published 2025
    “…This study provides a comprehensive review of energy-efficient routing algorithms for LoRaWAN in mobile IoT applications. …”
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  19. 19
    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation

    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation by Anwar, P. P. Abdul Majeed

    Published 2018
    “…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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  20. 20
    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation

    Hardware-in-the-loop study of a hybrid active force control scheme of an upper-limb exoskeleton for passive stroke rehabilitation by Anwar, P. P. Abdul Majeed

    Published 2018
    “…A hardware-in-the-loop simulation is carried out to evaluate the appropriate gains of both the PD and the AFC inertial parameter gained that is tuned via the SKF algorithm. …”
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