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Showing 1 - 12 results of 12 for search '(( agent based algorithm ) OR ((( data using algorithm ) OR ( model using algorithm ))))~', query time: 0.14s Refine Results
  1. 1
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
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  2. 2
    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure

    An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure by Fahmy, Ahmed

    Published 2020
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    doctoralThesis
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  3. 3
    Information reconciliation through agent controlled graph model. (c2018)

    Information reconciliation through agent controlled graph model. (c2018) by Saba, Rita

    Published 2018
    “…Multiple models have been proposed and different techniques and data structures were used. …”
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    masterThesis
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  4. 4
    Single channel speech denoising by DDPG reinforcement learning agent

    Single channel speech denoising by DDPG reinforcement learning agent by Sania Gul (18272227)

    Published 2025
    “…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …”
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  5. 5
    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management by Alhusin, Mohammed Omer Alamin

    Published 2019
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  6. 6
    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

    Published 2023
    “…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …”
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  7. 7
    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

    Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

    Published 2025
    “…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …”
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  8. 8
    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization

    STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization by Muhammad Salman Khan (7202543)

    Published 2025
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  9. 9
    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics

    A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

    Published 2011
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  10. 10
    Establishing Autonomous AUS-Quadrotor

    Establishing Autonomous AUS-Quadrotor by Al Younes, Younes

    Published 2009
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  11. 11
    Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries

    Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries by Assayed, Suha Khalil

    Published 2024
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  12. 12
    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer

    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer by Andrea Remo (447375)

    Published 2015
    “…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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