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  1. 1

    Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone by Md Jamal, Norezmi

    Published 2022
    “…The development of speech-enabled mobile applications has greatly improved human-computer interaction in recent years. …”
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    Thesis
  2. 2

    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
    “…The results showed that the QEEA algorithm outperformed the other algorithms as it could achieve up to 18% of maximum throughput, 27% reduction in ECR, and 36% improvement in EE in terms of radius ranging from 200 m to 1000 m. …”
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  3. 3

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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    Article
  4. 4

    Development and analysis of face recognition system on a mobile robot environment / Jit Shen Quah and Mariam Md Ghazaly by Jit, Shen Quah, Md Ghazaly, Mariam

    Published 2018
    “…This research thus aimed at analyzing the performance of face recognition algorithm performance in a mobile environment as compared to a static environment. …”
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  5. 5

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…The proposed GAPSO algorithm will achieve an average relative error reduction of 2%, accuracy will improve by 96%, the maximum performance will be achieved by 95%, the F1 score will develop by 95%, and the training error cure rate will improve by 94%.…”
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  6. 6

    Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques by Ceesay, Omar M.

    Published 2011
    “…This thesis focuses on developing Voronoi Tessellation-based Coverage Optimization Algorithms for Static and Mobile Wireless Sensor Networks, where a large number of static nodes are supported by few mobile nodes in carrying out the sensing task. …”
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    A reliable unicast routing protocol for mobile ad hoc network by Sargolzaey, Hadi

    Published 2013
    “…It is also shown that the algorithm contributed greatly to reducing control overhead and although we have extra control packets overhead due to the cluster formation and maintenance, we see 27% to 38% control packets overhead reduction in different network conditions.…”
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    A Focal load balancer based algorithm for task assignment in cloud environment by Mohammed, Mostafa Abdulghfoor, Hasan, Raed Abdulkareem, Ahmed, Munef Abdullah, Tapus, Nicolae, Shnan, Marwan Ali, Khaleel, M. K., Ali, Ahmed H.

    Published 2019
    “…Comparisons with the krill-LB and agent-based algorithms show that the new system provides a reduction in average wait time, a significant increase in throughput, and a dramatic reduction in CPU time consumption.…”
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    Conference or Workshop Item
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    Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks by Al-Khalid, Hj Othman, Mahmood, Adnan, Hushairi, Zen

    Published 2013
    “…Thus to achieve seamless mobility and the requisite Quality of Service (QoS) in such a diverse environment, efficient ‘Vertical Handover Decision (VHD)’ algorithms needs to be designed in order to avert any degradation of services, reduction in throughput, increase in blocking probability and packet loss caused due to the unnecessary handovers, handover failures and connection breakdowns. …”
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    Article
  13. 13

    Enhancing smart city mobility using Software Defined Networks by Ahmed, Zeinab E, Hassan Abdalla Hashim, Aisha, Saeed, Rashid A, Saeed, Mamoon M

    Published 2024
    “…SDN-based MM can advance sustainable urban development by centralizing control, adapting to changes, optimizing resource allocation, reducing energy consumption, and improving urban mobility. …”
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    Proceeding Paper
  14. 14

    Efficient hybrid flooding scheme for ad-hoc on-demand distance vector routing protocol in MANET by Waheed, Bassam M.S.

    Published 2014
    “…Another prominent approach is the Dominant Pruning (DP) which is a distributed dominating set algorithm developed to alleviate the impact of flooding in mobile ad-hoc networks. …”
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  15. 15

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
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  16. 16

    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
    “…These approaches have demonstrated improvements in packet delivery ratios (PDRs), latency reduction, and energy efficiency within mobile IoT contexts. …”
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    Enhanced PAPR reduction and channel estimation techniques in multi-carrier wireless communication system by Ali Kareem, Nahar

    Published 2016
    “…Besides, the CE scheme based on a Local Search Algorithm was suggested. The simulation results of RPS were compared with various PAPR reduction schemes, such as selective mapping (SLM) technique and Partial Transmission Sequence (PTS), and furthermore, different phase shifts with slight computational complexity had been analyzed. …”
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    Thesis
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    Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices by Rahman, Md. Arafatur, Nafees, Zaman, A. Taufiq, Asyhari, Al-Turjman, Fadi, Alam Bhuiyan, Md. Zakirul, Mohamad Fadli, Zolkipli

    Published 2020
    “…Through an intelligent fusion of healthcare and simulated mobility data, we model lockdown as a clustering problem and design a dynamic clustering algorithm for localized lockdown by taking into account the pandemic, economic and mobility aspects. …”
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    Article