Search Results - (( mobile evaluation cell algorithm ) OR ( early identification based algorithm ))

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  1. 1
    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyou, Al-Hareth, Ahmed, Musse Mohamud, Hameed, Shihab A, Azman, Amelia Wong, Islam, Md Rafiqul

    Published 2015
    “…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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  2. 2
    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios

    Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios by Sukeran, Lukmanhakim, Habaebi, Mohamed Hadi, Zyoud, Al-Hareth, Musse, Mohamud Ahmed, Hameed, Shihab A., Azman, Amelia Wong, Islam, Md. Rafiqul

    Published 2014
    “…In this paper five scheduling algorithms were investigated and their performance was evaluated in terms of Fairness Index, Peak Throughput, Average Throughput and Edge Cell User Throughput. …”
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    Proceeding Paper
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  3. 3
    An integrated priority-based cell attenuation model for dynamic cell sizing

    An integrated priority-based cell attenuation model for dynamic cell sizing by Amphawan, Angela, Omar, Mohd Nizam, Din, Roshidi

    Published 2012
    “…A new, robust integrated priority-based cell attenuation model for dynamic cell sizing is proposed and simulated using real mobile traffic data.The proposed model is an integration of two main components; the modified virtual community – parallel genetic algorithm (VC-PGA) cell priority selection module and the evolving fuzzy neural network (EFuNN) mobile traffic prediction module.The VC-PGA module controls the number of cell attenuations by ordering the priority for the attenuation of all cells based on the level of mobile level of mobile traffic within each cell.The EFuNN module predicts the traffic volume of a particular cell by extracting and inserting meaningful rules through incremental, supervised real-time learning.The EFuNN module is placed in each cell and the output, the predicted mobile traffic volume of the particular cell, is sent to local and virtual community servers in the VC-PGA module.The VC-PGA module then assigns priorities for the size attenuation of all cells within the network, based on the predicted mobile traffic levels from the EFuNN module at each cell.The performance of the proposed module was evaluated on five adjacent cells in Selangor, Malaysia. …”
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  4. 4
    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
    thesis::doctoral thesis
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  5. 5
    Inter system handoff management in cellular mobile networks / Syamil Khalid

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

    “…This paper presents a handoff technique which supports mobility between dissimilar networks. The boundary cell of cellular network system is designed by using MATLAB design software. …”
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  6. 6
    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 theoretical analysis and simulation result are studied to evaluate the handoff parameters and signal strength of mobility.…”
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    Thesis
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  7. 7
    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique by Kiong T.S., Ismail M., Hassan A.

    Published 2023
    “…User mobility is taken into account to provide a combined evaluation of Radio Resource Management (RRM). …”
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  8. 8
    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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  9. 9
    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris

    Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris by Abubakar Auwal , Idris

    Published 2017
    “…It also supports user in higher mobility cell and allows multi-user scheduling of radio resource. …”
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  10. 10
    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
    “…Modeling issues and the key performance evaluation for HeNB-specific mobility management are discussed and studied as well. …”
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  11. 11
    Handover Decision-Making Algorithm for 5G Heterogeneous Networks

    Handover Decision-Making Algorithm for 5G Heterogeneous Networks by Mark Irwin Goh, Abbas Ibrahim Mbulwa, Hoe, Tung Yew, Aroland Kiring, Chung, Seng Kheau, Ali Farzamnia, Ali Chekima, Manas Kumar Haldar

    Published 2023
    “…The evolution of 5G small cell networks has led to the advancement of vertical handover decision-making algorithms. …”
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  12. 12
    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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  13. 13
    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique by Tiong, Sieh Keong, Ismail, Mahamod, Hassan, Azmi

    Published 2006
    “…User mobility is taken into account to provide a combined evaluation of Radio Resource Management (RRM). …”
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  14. 14
    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff

    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff by Mohd Yusoff, Nurulanis

    Published 2017
    “…In terms of number of users in the cell, the algorithm could achieve up to 240% of maximum throughput, 61% reduction in ECR and 150% improvement in EE. …”
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  15. 15
    Token based path allocation approach for mobile robots in sorting centre for achieving high throughput

    Token based path allocation approach for mobile robots in sorting centre for achieving high throughput by Khoo, Zong Zheng

    Published 2024
    “…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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    Final Year Project / Dissertation / Thesis
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  16. 16
    Development of MyCGPA for early predicting students’ academic performance

    Development of MyCGPA for early predicting students’ academic performance by Abdul Mutalib, Muhammad Yazid, Zainol, Zuraini, Nohuddin, Puteri Nor Ellyza, Abdul Rauf, Ummul Fahri

    Published 2025
    “…One of the primary concerns in higher education is the early identification of underperforming students. …”
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  17. 17
    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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  18. 18
    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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  19. 19
    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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  20. 20
    Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy

    Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy by Rahman, Sam Matiur, Ali, Md. Asraf, Altwijri, Omar, Alqahtani, Mahdi, Ahmed, Nasim, Ahamed, Nizam Uddin

    Published 2020
    “…In addition, the ranked order of the variables based on their importance differed across the ML algorithms. …”
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    Conference or Workshop Item
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