يعرض 121 - 140 نتائج من 196 نتيجة بحث عن '(((( elements res algorithm ) OR ( complex system algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.10s تنقيح النتائج
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    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions حسب Abdulmalik Alwarafy (17984104)

    منشور في 2022
    "…Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms. …"
  3. 123

    Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers حسب Zain Ul Abideen Tariq (17984107)

    منشور في 2024
    "…<p dir="ltr">The evolving landscape of beyond 5G and 6G wireless communication systems in smart urban environments faces numerous interference-related challenges posed by legitimate and illicit devices. …"
  4. 124

    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

    منشور في 2024
    "…In this context, we formulate the problem as a non-linear programming (NLP) optimization problem aimed at maximizing the total EH IoT devices and determining the optimal trajectory paths for UAVs while adhering to the constraints related to the maximum time duration, the UAVs’ maximum energy consumption, and the minimum data rate to achieve a reliable transmission. Due to the complexity of the problem, the combinatorial nature of the formulated problem, and the difficulty of obtaining the optimal solution using conventional optimization problems, we propose a lightweight meta-RL solution capable of solving the problem by learning the system dynamics. …"
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    UML-based regression testing for OO software حسب Mansour, Nashat

    منشور في 2010
    "…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
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    article
  9. 129

    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials حسب Ghouti, Lahouari

    منشور في 1997
    "…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
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    masterThesis
  10. 130
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    A Novel Centrality-Based Approach for Link Prediction حسب El Khoury, Elissa Lichaa

    منشور في 2025
    "…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. This research problem has attracted significant attention due to its relevance in numerous fields. …"
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    masterThesis
  13. 133
  14. 134

    DRL-Based IRS-Assisted Secure Visible Light Communications حسب Danya A. Saifaldeen (19498705)

    منشور في 2022
    "…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …"
  15. 135

    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

    منشور في 2006
    "…The use of U-model alleviates the computational complexity of on-line nonlinear controller design that arises when using other modelling frame works such as NARMAX model. …"
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    article
  16. 136
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    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب Farhat Mahmood (15468854)

    منشور في 2023
    "…The artificial neural network demonstrates a higher prediction accuracy and is used as the system model in the proposed control framework. A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …"
  18. 138

    Leveraging UAVs for Coverage in Cell-Free Vehicular Networks حسب Samir, Moataz

    منشور في 2020
    "…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
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    article
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    Efficient Seismic Volume Compression using the Lifting Scheme حسب Khene, M. F.

    منشور في 2000
    "…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
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    article